Physical Communication最新文献_第6页

Secrecy performance of RIS-assisted wireless-powered systems with artificial-jamming generation

IF 2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication

Pub Date : 2024-12-27 DOI: 10.1016/j.phycom.2024.102592

Vo Ta Ty , Pham Ngoc Son , Tran Trung Duy

This paper proposes a reconfigurable intelligent surface (RIS)-aided communication systems, where energy harvesting (EH) and artificial jamming techniques are used. In the proposed system, a source harvests energy from a base station, and uses the harvested energy to send data to a destination via the RIS, under presence of an eavesdropper. A jammer is employed to generate noises on the eavesdropper. For performance evaluation, we derive expressions of outage probability (OP), intercept probability (IP), average secrecy capacity (ASC) and secrecy outage probability (SOP) for the proposed system under Rayleigh fading environment. Simulation results are provided to confirm the accuracy of the analytical expressions. We also evaluate the performance of a corresponding system without using the jammer. The results show that the proposed system obtains much better performance than the non-jammer one. Moreover, the performance of the proposed system can be enhanced by increasing the number of reflecting elements at the RIS, increasing the transmit power of the source and jammer nodes, and optimizing the fraction of time allocated for the EH phase. On the contrary, IP of the non-jammer system is very high, and its ASC and SOP performance converge to saturation points at high signal-to-noise ratio (SNR) levels.

{"title":"Secrecy performance of RIS-assisted wireless-powered systems with artificial-jamming generation","authors":"Vo Ta Ty , Pham Ngoc Son , Tran Trung Duy","doi":"10.1016/j.phycom.2024.102592","DOIUrl":"10.1016/j.phycom.2024.102592","url":null,"abstract":"<div><div>This paper proposes a reconfigurable intelligent surface (RIS)-aided communication systems, where energy harvesting (EH) and artificial jamming techniques are used. In the proposed system, a source harvests energy from a base station, and uses the harvested energy to send data to a destination via the RIS, under presence of an eavesdropper. A jammer is employed to generate noises on the eavesdropper. For performance evaluation, we derive expressions of outage probability (OP), intercept probability (IP), average secrecy capacity (ASC) and secrecy outage probability (SOP) for the proposed system under Rayleigh fading environment. Simulation results are provided to confirm the accuracy of the analytical expressions. We also evaluate the performance of a corresponding system without using the jammer. The results show that the proposed system obtains much better performance than the non-jammer one. Moreover, the performance of the proposed system can be enhanced by increasing the number of reflecting elements at the RIS, increasing the transmit power of the source and jammer nodes, and optimizing the fraction of time allocated for the EH phase. On the contrary, IP of the non-jammer system is very high, and its ASC and SOP performance converge to saturation points at high signal-to-noise ratio (SNR) levels.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"69 ","pages":"Article 102592"},"PeriodicalIF":2.0,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Aperture selection approaches for robust NLOS-UV communication in turbulent channels

IF 2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication

Pub Date : 2024-12-24 DOI: 10.1016/j.phycom.2024.102593

Sayed Hasan Hariq , Niyazi Odabaşıoğlu , Bahattin Karakaya

In this research, we investigate aperture selection schemes for non-line-of-sight ultraviolet communication systems operating in log-normal atmospheric turbulence channels. The proposed approaches involve the selection of a single transmit and/or receive aperture from a pool of

N

transmit and/or

M

receive apertures for communication, based on maximizing the signal-to-noise ratio along the corresponding optical path. To further improve the performance of non-line-of-sight ultraviolet links, we incorporate an optically pre-amplified PIN photo-detector at the receiver and an optical booster amplifier at the transmitter. We consider all noise sources, including those arising from amplified spontaneous emission due to optical amplifiers. We derive closed-form outage and bit-error-rate expressions and conduct diversity gain analyses to assess the performance. Monte Carlo simulations are employed to validate the accuracy of our derivations. The results reveal that selection diversity schemes offer full diversity gain and outperform multiple-input-multiple-output non-line-of-sight ultraviolet systems without aperture selection. Our study demonstrates the efficacy of aperture selection as well as optical amplifiers in enhancing the reliability and performance of non-line-of-sight ultraviolet communication systems in turbulent atmospheric conditions.

{"title":"Aperture selection approaches for robust NLOS-UV communication in turbulent channels","authors":"Sayed Hasan Hariq , Niyazi Odabaşıoğlu , Bahattin Karakaya","doi":"10.1016/j.phycom.2024.102593","DOIUrl":"10.1016/j.phycom.2024.102593","url":null,"abstract":"<div><div>In this research, we investigate aperture selection schemes for non-line-of-sight ultraviolet communication systems operating in log-normal atmospheric turbulence channels. The proposed approaches involve the selection of a single transmit and/or receive aperture from a pool of <span><math><mi>N</mi></math></span> transmit and/or <span><math><mi>M</mi></math></span> receive apertures for communication, based on maximizing the signal-to-noise ratio along the corresponding optical path. To further improve the performance of non-line-of-sight ultraviolet links, we incorporate an optically pre-amplified PIN photo-detector at the receiver and an optical booster amplifier at the transmitter. We consider all noise sources, including those arising from amplified spontaneous emission due to optical amplifiers. We derive closed-form outage and bit-error-rate expressions and conduct diversity gain analyses to assess the performance. Monte Carlo simulations are employed to validate the accuracy of our derivations. The results reveal that selection diversity schemes offer full diversity gain and outperform multiple-input-multiple-output non-line-of-sight ultraviolet systems without aperture selection. Our study demonstrates the efficacy of aperture selection as well as optical amplifiers in enhancing the reliability and performance of non-line-of-sight ultraviolet communication systems in turbulent atmospheric conditions.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"69 ","pages":"Article 102593"},"PeriodicalIF":2.0,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fairness driven TDMA with joint phase and beamforming optimization for ND-IRS assisted MU-MISO communication systems

IF 2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication

Pub Date : 2024-12-20 DOI: 10.1016/j.phycom.2024.102587

Amit Agarwal

This paper investigates the optimization of rate performance in downlink intelligent reflecting surface (IRS)-assisted multi-user multiple-input single-output (MU-MISO) systems with a focus on fairness. The IRS operates in either diagonal (D) or non-diagonal (ND) configurations, with time allocation designed to maximize the minimum signal-to-noise ratio (SNR), effectively optimizing data rates for all users. The D-IRS configuration is commonly used due to its simplicity in implementation and control link load. However, ND-IRS allows signal reflection from different elements with adjustable phase shifts, enhancing system performance. The study examines how different IRS configurations and time allocation strategies influence data rates in a fairness-driven MU-MISO, time division multiple access (TDMA) transmission system. Using alternating optimization (AO) for the joint phase of the IRS and beamforming at the base station (BS), combined with fairness-based time allocation, the research explores the impact of transmit power, IRS elements, and user count on performance. Results show that ND-IRS with fairness-based time allocation consistently delivers the highest data rates across various scenarios. ND-IRS outperforms D-IRS, and random phase IRS setups, especially as transmit power and the number of IRS elements increase. Our results demonstrate that ND-IRS with fairness-based time allocation consistently achieves the highest data rates across various scenarios. For example, ND-IRS with fairness based time allocation performs better as compared to the equal time allocation scheme. Further, ND-IRS outperforms D-IRS with optimized phase as well as random phase IRS setups. Computer simulations confirm these findings.

{"title":"Fairness driven TDMA with joint phase and beamforming optimization for ND-IRS assisted MU-MISO communication systems","authors":"Amit Agarwal","doi":"10.1016/j.phycom.2024.102587","DOIUrl":"10.1016/j.phycom.2024.102587","url":null,"abstract":"<div><div>This paper investigates the optimization of rate performance in downlink intelligent reflecting surface (IRS)-assisted multi-user multiple-input single-output (MU-MISO) systems with a focus on fairness. The IRS operates in either diagonal (D) or non-diagonal (ND) configurations, with time allocation designed to maximize the minimum signal-to-noise ratio (SNR), effectively optimizing data rates for all users. The D-IRS configuration is commonly used due to its simplicity in implementation and control link load. However, ND-IRS allows signal reflection from different elements with adjustable phase shifts, enhancing system performance. The study examines how different IRS configurations and time allocation strategies influence data rates in a fairness-driven MU-MISO, time division multiple access (TDMA) transmission system. Using alternating optimization (AO) for the joint phase of the IRS and beamforming at the base station (BS), combined with fairness-based time allocation, the research explores the impact of transmit power, IRS elements, and user count on performance. Results show that ND-IRS with fairness-based time allocation consistently delivers the highest data rates across various scenarios. ND-IRS outperforms D-IRS, and random phase IRS setups, especially as transmit power and the number of IRS elements increase. Our results demonstrate that ND-IRS with fairness-based time allocation consistently achieves the highest data rates across various scenarios. For example, ND-IRS with fairness based time allocation performs better as compared to the equal time allocation scheme. Further, ND-IRS outperforms D-IRS with optimized phase as well as random phase IRS setups. Computer simulations confirm these findings.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"69 ","pages":"Article 102587"},"PeriodicalIF":2.0,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143104931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improper Gaussian signaling for low-resolution active RIS-assisted rate-splitting multiple access multiuser MIMO system

IF 2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication

Pub Date : 2024-12-19 DOI: 10.1016/j.phycom.2024.102580

Hongwen Yu , Gege Hu , Ali Arshad Nasir , Zhichao Sheng , Syed Ali Hassan

This paper investigates a low-resolution active reconfigurable intelligent surface (aRIS)-assisted rate-splitting multiple access (RSMA) multiple-input multiple-output (MIMO) downlink system with improper Gaussian signaling (IGS). A max–min achievable log determinant (log-det) rate optimization problem is formulated by jointly optimizing the transmit beamforming, low-resolution aRIS’s power-amplified reconfigurable elements (aPREs), and rate-splitting (RS) vector. To address the nonsmooth optimization objective function, the formulated problem is decoupled into two subproblems, namely, transmit beamforming and RS vector optimization, and aPREs’ vector and RS vector optimization. For the large-scale mixed discrete-continuous problem imposed by the aPREs’ vector optimization, we introduce a novel penalized optimization framework that employs a cubic complexity quadratic solver for alternately optimizing the RS vector, transmit beamforming, and the aPREs’ vector. Simulation results show that the consideblack RSMA system outperforms the space-division multiple access (SDMA) scheme with respect to rate fairness, and the use of IGS is remarkably superior to the traditional proper Gaussian signaling (PGS) in improving the rate fairness among users.

{"title":"Improper Gaussian signaling for low-resolution active RIS-assisted rate-splitting multiple access multiuser MIMO system","authors":"Hongwen Yu , Gege Hu , Ali Arshad Nasir , Zhichao Sheng , Syed Ali Hassan","doi":"10.1016/j.phycom.2024.102580","DOIUrl":"10.1016/j.phycom.2024.102580","url":null,"abstract":"<div><div>This paper investigates a low-resolution active reconfigurable intelligent surface (aRIS)-assisted rate-splitting multiple access (RSMA) multiple-input multiple-output (MIMO) downlink system with improper Gaussian signaling (IGS). A max–min achievable log determinant (log-det) rate optimization problem is formulated by jointly optimizing the transmit beamforming, low-resolution aRIS’s power-amplified reconfigurable elements (aPREs), and rate-splitting (RS) vector. To address the nonsmooth optimization objective function, the formulated problem is decoupled into two subproblems, namely, transmit beamforming and RS vector optimization, and aPREs’ vector and RS vector optimization. For the large-scale mixed discrete-continuous problem imposed by the aPREs’ vector optimization, we introduce a novel penalized optimization framework that employs a cubic complexity quadratic solver for alternately optimizing the RS vector, transmit beamforming, and the aPREs’ vector. Simulation results show that the consideblack RSMA system outperforms the space-division multiple access (SDMA) scheme with respect to rate fairness, and the use of IGS is remarkably superior to the traditional proper Gaussian signaling (PGS) in improving the rate fairness among users.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"69 ","pages":"Article 102580"},"PeriodicalIF":2.0,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unsupervised learning approach for distributed beamforming in cell-free integrated sensing and communication with dynamic balancing method

IF 2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication

Pub Date : 2024-12-19 DOI: 10.1016/j.phycom.2024.102591

Mohamed Elrashidy , Mudassir Masood , Ali Arshad Nasir

Cell-free massive multiple input multiple output (MIMO) systems can provide reliable connectivity and increase user throughput and spectral efficiency of integrated sensing and communication (ISAC) systems. This can only be achieved through intelligent beamforming design. While many works have proposed optimization methods to design beamformers for cell-free systems, the underlying algorithms are computationally complex and potentially increase fronthaul link loads. To address this concern, we propose an unsupervised learning algorithm to jointly design the communication and sensing beamformers for cell-free ISAC system. Specifically, we adopt a teacher–student training model to guarantee a balanced maximization of sensing signal to noise ratio (SSNR) and signal to interference plus noise ratio (SINR), which represent the sensing and communication metrics, respectively. The proposed scheme is decentralized, which can reduce the load on the central processing unit (CPU) and the required fronthaul links. To avoid the tradeoff problem between sensing and communication counterparts of the cell-free system, we first train two identical models (teacher models) each biased towards one of the two tasks. A third identical model (a student model) is trained based on the maximum sensing and communication performance information obtained by the teacher models. The balancing factor of the student loss is dynamically adapted based on the student’s performance during training. While the results show that our proposed unsupervised DL approach yields a performance close to the model-driven solution, the proposed approach is more computationally efficient than the state of the art by at least three orders of magnitude.

{"title":"Unsupervised learning approach for distributed beamforming in cell-free integrated sensing and communication with dynamic balancing method","authors":"Mohamed Elrashidy , Mudassir Masood , Ali Arshad Nasir","doi":"10.1016/j.phycom.2024.102591","DOIUrl":"10.1016/j.phycom.2024.102591","url":null,"abstract":"<div><div>Cell-free massive multiple input multiple output (MIMO) systems can provide reliable connectivity and increase user throughput and spectral efficiency of integrated sensing and communication (ISAC) systems. This can only be achieved through intelligent beamforming design. While many works have proposed optimization methods to design beamformers for cell-free systems, the underlying algorithms are computationally complex and potentially increase fronthaul link loads. To address this concern, we propose an unsupervised learning algorithm to jointly design the communication and sensing beamformers for cell-free ISAC system. Specifically, we adopt a teacher–student training model to guarantee a balanced maximization of sensing signal to noise ratio (SSNR) and signal to interference plus noise ratio (SINR), which represent the sensing and communication metrics, respectively. The proposed scheme is decentralized, which can reduce the load on the central processing unit (CPU) and the required fronthaul links. To avoid the tradeoff problem between sensing and communication counterparts of the cell-free system, we first train two identical models (teacher models) each biased towards one of the two tasks. A third identical model (a student model) is trained based on the maximum sensing and communication performance information obtained by the teacher models. The balancing factor of the student loss is dynamically adapted based on the student’s performance during training. While the results show that our proposed unsupervised DL approach yields a performance close to the model-driven solution, the proposed approach is more computationally efficient than the state of the art by at least three orders of magnitude.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"69 ","pages":"Article 102591"},"PeriodicalIF":2.0,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Over-the-air multi-sensor inference with neural networks using memristor-based analog computing

IF 2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication

Pub Date : 2024-12-15 DOI: 10.1016/j.phycom.2024.102582

Busra Tegin, Muhammad Atif Ali, Tolga M. Duman

Deep neural networks provide reliable solutions for many classification and regression tasks; however, their application in real-time wireless systems with simple sensor networks is limited due to high energy consumption and significant bandwidth needs. This study proposes a multi-sensor wireless inference system with memristor-based analog computing. Given the sensors’ limited computational capabilities, the features from the network’s front end are transmitted to a central device where an

L_{p}

-norm inspired approximation of the maximum operation is employed to achieve transformation-invariant features, enabling efficient over-the-air transmission. We also introduce a trainable over-the-air sensor fusion method based on

L_{p}

-norm inspired combining function that customizes sensor fusion to match the network and sensor distribution characteristics, enhancing adaptability. To address the energy constraints of sensors, we utilize memristors, known for their energy-efficient in-memory computing, enabling analog-domain computations that reduce energy use and computational overhead in edge computing. This dual approach of memristors and

L_{p}

-norm inspired sensor fusion fosters energy-efficient computational and transmission paradigms and serves as a practical energy-efficient solution with minimal performance loss.

{"title":"Over-the-air multi-sensor inference with neural networks using memristor-based analog computing","authors":"Busra Tegin, Muhammad Atif Ali, Tolga M. Duman","doi":"10.1016/j.phycom.2024.102582","DOIUrl":"10.1016/j.phycom.2024.102582","url":null,"abstract":"<div><div>Deep neural networks provide reliable solutions for many classification and regression tasks; however, their application in real-time wireless systems with simple sensor networks is limited due to high energy consumption and significant bandwidth needs. This study proposes a multi-sensor wireless inference system with memristor-based analog computing. Given the sensors’ limited computational capabilities, the features from the network’s front end are transmitted to a central device where an <span><math><msub><mrow><mi>L</mi></mrow><mrow><mi>p</mi></mrow></msub></math></span>-norm inspired approximation of the maximum operation is employed to achieve transformation-invariant features, enabling efficient over-the-air transmission. We also introduce a trainable over-the-air sensor fusion method based on <span><math><msub><mrow><mi>L</mi></mrow><mrow><mi>p</mi></mrow></msub></math></span>-norm inspired combining function that customizes sensor fusion to match the network and sensor distribution characteristics, enhancing adaptability. To address the energy constraints of sensors, we utilize memristors, known for their energy-efficient in-memory computing, enabling analog-domain computations that reduce energy use and computational overhead in edge computing. This dual approach of memristors and <span><math><msub><mrow><mi>L</mi></mrow><mrow><mi>p</mi></mrow></msub></math></span>-norm inspired sensor fusion fosters energy-efficient computational and transmission paradigms and serves as a practical energy-efficient solution with minimal performance loss.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"69 ","pages":"Article 102582"},"PeriodicalIF":2.0,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing energy efficiency in MC-NOMA systems through optimized channel and power allocation 通过优化信道和功率分配，提高MC-NOMA系统的能效

IF 2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication

Pub Date : 2024-11-28 DOI: 10.1016/j.phycom.2024.102564

Pawan Gupta, Ashok Kumar, Rakesh Sharma

Non-orthogonal multiple access (NOMA) has quickly become popular due to its higher spectral efficiency (SE) and is crucial in extending future networks’ capacity. This paper presents an innovative approach to enhancing energy efficiency (EE) in downlink (DL) multi-carrier (MC) NOMA systems, in which a single base station (BS) supports a group of users across multiple sub-channels. A novel least user sum gain-based user assignment (LUSGUA) algorithm is proposed in this paper, which prioritizes users with the lowest channel gains for optimal sub-carrier allocation. Additionally, a novel power allocation (PA) scheme is developed across sub-carriers to further improve energy efficiency (EE), throughput, and fairness. Since the PA optimization problem (OP) is constrained and non-convex, to tackle this problem, a penalty approach (PTA) is proposed, which is then addressed by particle swarm optimization (PSO) with sequential optimization of the inter/intra-level PA. Power is allocated across sub-carriers at the inter-level using PSO, while at the intra-level, power is distributed among users via the Bisection Method (BM). Simulation results demonstrate that the proposed algorithm achieves significant enhancements in EE, with improvements ranging from 13.04% to 48.67% compared to existing resource allocation (RA) schemes techniques, while also improving system throughput, fairness, and outage percentage. These results highlight substantial advancements over traditional methods.

非正交多址（NOMA）由于其更高的频谱效率（SE）而迅速普及，对扩展未来网络容量至关重要。本文提出了一种在下行链路（DL）多载波（MC） NOMA系统中提高能效（EE）的创新方法，其中单个基站（BS）支持跨多个子信道的一组用户。提出了一种基于最小用户和增益的用户分配算法（LUSGUA），该算法优先考虑信道增益最小的用户进行最优子载波分配。此外，还开发了一种跨子载波的新型功率分配（PA）方案，以进一步提高能效（EE）、吞吐量和公平性。针对蚁群优化问题（OP）具有约束和非凸性的特点，提出了一种惩罚算法（PTA），并利用粒子群优化算法（PSO）对蚁群优化问题进行求解。在层间使用PSO在子载波之间分配功率，而在层内，通过对分法（BM）在用户之间分配功率。仿真结果表明，该算法在EE方面取得了显著的改进，与现有的资源分配（RA）方案相比，改进幅度从13.04%到48.67%不等，同时提高了系统吞吐量、公平性和停机率。这些结果突出了与传统方法相比的实质性进步。

{"title":"Enhancing energy efficiency in MC-NOMA systems through optimized channel and power allocation","authors":"Pawan Gupta, Ashok Kumar, Rakesh Sharma","doi":"10.1016/j.phycom.2024.102564","DOIUrl":"10.1016/j.phycom.2024.102564","url":null,"abstract":"<div><div>Non-orthogonal multiple access (NOMA) has quickly become popular due to its higher spectral efficiency (SE) and is crucial in extending future networks’ capacity. This paper presents an innovative approach to enhancing energy efficiency (EE) in downlink (DL) multi-carrier (MC) NOMA systems, in which a single base station (BS) supports a group of users across multiple sub-channels. A novel least user sum gain-based user assignment (LUSGUA) algorithm is proposed in this paper, which prioritizes users with the lowest channel gains for optimal sub-carrier allocation. Additionally, a novel power allocation (PA) scheme is developed across sub-carriers to further improve energy efficiency (EE), throughput, and fairness. Since the PA optimization problem (OP) is constrained and non-convex, to tackle this problem, a penalty approach (PTA) is proposed, which is then addressed by particle swarm optimization (PSO) with sequential optimization of the inter/intra-level PA. Power is allocated across sub-carriers at the inter-level using PSO, while at the intra-level, power is distributed among users via the Bisection Method (BM). Simulation results demonstrate that the proposed algorithm achieves significant enhancements in EE, with improvements ranging from 13.04% to 48.67% compared to existing resource allocation (RA) schemes techniques, while also improving system throughput, fairness, and outage percentage. These results highlight substantial advancements over traditional methods.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"68 ","pages":"Article 102564"},"PeriodicalIF":2.0,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analog self-interference cancellation for full-duplex communication based on deep reinforcement learning 基于深度强化学习的全双工通信模拟自干扰消除

IF 2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication

Pub Date : 2024-11-28 DOI: 10.1016/j.phycom.2024.102554

Cong Hu , Yuanxiang Chen , Hao Bai , Shuo Wang , Jianguo Yu , Fan Lu , Zhanchun Fan

Full-duplex (FD) communication systems are expected to be extensively used in wireless communications, however, their performance is severely limited due to the self-interference (SI). Traditional analog self-interference cancellation (ASIC) methods generally do not consider estimating the delay of the SI channel, thereby requiring a large number of taps to capture channel details. In order to effectively eliminate SI in situations with limited resources or space, we propose two novel ASIC schemes based on deep reinforcement learning (DRL), named Multi-Deep Q Network (Multi-DQN) scheme and DQN-Deep Deterministic Policy Gradient (DQN-DDPG) scheme. Specifically, for the Multi-DQN scheme, we use multiple DQN units to estimate the delay and attenuation of the SI channel discretely, which can effectively reduce the number of taps required for ASIC. To overcome the loss of discretization, the DQN-DDPG scheme utilizes DQN and DDPG units to estimate the delay and continuous attenuation of the SI channel, respectively. Simulation results indicate that both proposed schemes achieve a similar performance to the multi-tap methods with fewer taps. Additionally, the effectiveness of both schemes is verified across various scenarios, encompassing system configurations, hyperparameters, and channel changes.

全双工（FD）通信系统有望在无线通信中得到广泛应用，但由于自干扰（SI），其性能受到严重限制。传统的模拟自干扰消除（ASIC）方法通常不考虑SI通道的延迟估计，因此需要大量的抽头来捕获通道细节。为了在资源或空间有限的情况下有效地消除SI，我们提出了两种基于深度强化学习（DRL）的新型ASIC方案，即Multi-Deep Q Network （Multi-DQN）方案和DQN-Deep Deterministic Policy Gradient （DQN-DDPG）方案。具体来说，对于Multi-DQN方案，我们使用多个DQN单元来离散地估计SI通道的延迟和衰减，这可以有效地减少ASIC所需的抽头数量。为了克服离散化的损失，DQN-DDPG方案分别利用DQN和DDPG单元来估计SI通道的延迟和连续衰减。仿真结果表明，两种方案均能在较少抽头的情况下获得与多抽头方法相似的性能。此外，两种方案的有效性在各种场景中得到验证，包括系统配置、超参数和信道变化。

{"title":"Analog self-interference cancellation for full-duplex communication based on deep reinforcement learning","authors":"Cong Hu , Yuanxiang Chen , Hao Bai , Shuo Wang , Jianguo Yu , Fan Lu , Zhanchun Fan","doi":"10.1016/j.phycom.2024.102554","DOIUrl":"10.1016/j.phycom.2024.102554","url":null,"abstract":"<div><div>Full-duplex (FD) communication systems are expected to be extensively used in wireless communications, however, their performance is severely limited due to the self-interference (SI). Traditional analog self-interference cancellation (ASIC) methods generally do not consider estimating the delay of the SI channel, thereby requiring a large number of taps to capture channel details. In order to effectively eliminate SI in situations with limited resources or space, we propose two novel ASIC schemes based on deep reinforcement learning (DRL), named Multi-Deep Q Network (Multi-DQN) scheme and DQN-Deep Deterministic Policy Gradient (DQN-DDPG) scheme. Specifically, for the Multi-DQN scheme, we use multiple DQN units to estimate the delay and attenuation of the SI channel discretely, which can effectively reduce the number of taps required for ASIC. To overcome the loss of discretization, the DQN-DDPG scheme utilizes DQN and DDPG units to estimate the delay and continuous attenuation of the SI channel, respectively. Simulation results indicate that both proposed schemes achieve a similar performance to the multi-tap methods with fewer taps. Additionally, the effectiveness of both schemes is verified across various scenarios, encompassing system configurations, hyperparameters, and channel changes.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"68 ","pages":"Article 102554"},"PeriodicalIF":2.0,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142744220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal position and power allocation for RSMA multigroup multicast and multibeam UAV-assisted communication RSMA多组多播和多波束无人机辅助通信的最佳位置和功率分配

IF 2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication

Pub Date : 2024-11-28 DOI: 10.1016/j.phycom.2024.102563

Kehao Wang, Yingzhao Sun, Changzhen Li, Pei Liu

This paper investigates rate-splitting multiple access (RSMA) under probabilistic line-of-sight (PLoS) links in multigroup multicast and multigroup unmanned aerial vehicle assisted communication network (

M^{3}

UAVCN), where a UAV transmits messages to several ground multicast groups under the influence of an external jammer. Specifically, we study a joint optimization problem involving the optimal UAV position, transmission power allocation and common rate allocation to maximize energy-efficiency (EE) of the UAV, which is non-convex. To tackle this non-convex problem, we propose a two-tier alternating optimization (AO) algorithm. Firstly, we employ the Block Coordinate Descent (BCD) methodology to decompose the original problem into UAV optimal position subproblem and power-rate allocation subproblem. Then, a particle swarm optimization algorithm with adaptive inertial weight (AIWPSO) is introduced to solve the UAV optimal position subproblem. In order to overcome the non-convexity of power-rate allocation subproblem, the successive convex approximation (SCA) and the slack variables method are used to obtain a suboptimal solution of

M^{3}

UAVCN. Simulation results demonstrate that our proposed algorithm outperforms space-division multiple access (SDMA) and non-orthogonal multiple access (NOMA) in terms of enhancing EE.

本文研究了多组组播和多组无人机辅助通信网络（M3UAVCN）中概率视距（PLoS）链路下的分频多址（RSMA），其中无人机在外部干扰器的影响下向多个地面组播组发送消息。具体来说，我们研究了一个涉及无人机最优位置、传输功率分配和公共速率分配的联合优化问题，以最大化无人机的能效（EE），该问题是非凸的。为了解决这个非凸问题，我们提出了一个两层交替优化（AO）算法。首先，采用块坐标下降（BCD）方法将原问题分解为无人机最优位置子问题和功率分配子问题；然后，引入自适应惯性权的粒子群优化算法求解无人机最优位置子问题。为了克服功率分配子问题的非凸性，采用逐次凸逼近法和松弛变量法得到了M3UAVCN的次优解。仿真结果表明，该算法在增强EE方面优于空分多址（SDMA）和非正交多址（NOMA）。

{"title":"Optimal position and power allocation for RSMA multigroup multicast and multibeam UAV-assisted communication","authors":"Kehao Wang, Yingzhao Sun, Changzhen Li, Pei Liu","doi":"10.1016/j.phycom.2024.102563","DOIUrl":"10.1016/j.phycom.2024.102563","url":null,"abstract":"<div><div>This paper investigates rate-splitting multiple access (RSMA) under probabilistic line-of-sight (PLoS) links in multigroup multicast and multigroup unmanned aerial vehicle assisted communication network (<span><math><msup><mrow><mi>M</mi></mrow><mrow><mn>3</mn></mrow></msup></math></span>UAVCN), where a UAV transmits messages to several ground multicast groups under the influence of an external jammer. Specifically, we study a joint optimization problem involving the optimal UAV position, transmission power allocation and common rate allocation to maximize energy-efficiency (EE) of the UAV, which is non-convex. To tackle this non-convex problem, we propose a two-tier alternating optimization (AO) algorithm. Firstly, we employ the Block Coordinate Descent (BCD) methodology to decompose the original problem into UAV optimal position subproblem and power-rate allocation subproblem. Then, a particle swarm optimization algorithm with adaptive inertial weight (AIWPSO) is introduced to solve the UAV optimal position subproblem. In order to overcome the non-convexity of power-rate allocation subproblem, the successive convex approximation (SCA) and the slack variables method are used to obtain a suboptimal solution of <span><math><msup><mrow><mi>M</mi></mrow><mrow><mn>3</mn></mrow></msup></math></span>UAVCN. Simulation results demonstrate that our proposed algorithm outperforms space-division multiple access (SDMA) and non-orthogonal multiple access (NOMA) in terms of enhancing EE.</div></div>","PeriodicalId":48707,"journal":{"name":"Physical Communication","volume":"68 ","pages":"Article 102563"},"PeriodicalIF":2.0,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142744219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Networked radar waveform design for detecting extended target in the presence of jamming 存在干扰时探测扩展目标的网络化雷达波形设计

IF 2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication

Pub Date : 2024-11-26 DOI: 10.1016/j.phycom.2024.102539

Weijun Ding , Weiwei Zhang , Min Zhang , Qing Wang , Guangle Shao , Jianjiang Zhou

This study addresses the deception and suppression jamming by developing waveform design strategies for the networked radar system. To this end, we assume that the extended target radar cross section (RCS), signal-dependent clutter, false target frequency response, and suppression jamming frequency distribution are known, and then derive the signal-to-jamming-plus-noise ratio (SINR) and mutual information (MI) expressions in regard to extend target in the presence of the two kinds of jamming. Considering the practical application of networked radar with the constraint of transmission power, two optimal waveform design models are formulated to maximize the contaminated SINR and MI respectively. Subsequently, the Lagrange multiplier method is resorted to figure out the optimal waveform design model. Finally, the simulation results are demonstrated to verify the proposed waveform design can effectively improve SINR and MI compared with some other signals when the two kinds of jamming exist.

本研究通过发展网络化雷达系统的波形设计策略来解决欺骗和抑制干扰问题。为此，假设已知扩展目标雷达截面（RCS）、信号相关杂波、假目标频率响应和抑制干扰频率分布，推导出两种干扰存在时扩展目标的信噪比（SINR）和互信息（MI）表达式。考虑到具有发射功率约束的网络化雷达的实际应用，分别建立了两种最优波形设计模型，以最大限度地提高受污染的信噪比和信噪比。然后利用拉格朗日乘法求出最优波形设计模型。最后，仿真结果验证了在两种干扰存在的情况下，与其他信号相比，所提出的波形设计能有效提高信噪比和信噪比。

引用次数: 0