Pub Date : 2022-05-16DOI: 10.1109/iccworkshops53468.2022.9814583
Z. Wang, Weihang Cao, Xintong Ling, Yuwei Le, Jiaheng Wang, Zhi Ding
Blockchain radio access network (B-RAN), as a new paradigm of wireless access, utilizes blockchain to facilitate and safeguard multisided resource sharing and pooling. B-RAN was previously claimed to benefit from network integration and collaboration, which also known as the pooling principle; however, it has never been quantitatively analyzed and assessed. In this paper, we provide the mathematical foundation of the pooling principle for B-RAN. We first present the system model of B- RAN and introduce the concept of effective network capacity to measure the network performance. We quantify the effect of pooling in B- RAN by deriving the effective network capacity and illustrate the pooling principle of B- RAN. Finally, we show the simulation results and provide convincing evidence to support the pooling principle of B- RAN.
区块链无线接入网(Blockchain radio access network, B-RAN)作为无线接入的新范式，利用区块链促进和保障多方资源共享和池化。B-RAN先前被声称受益于网络集成和协作，这也被称为池化原则;然而，从未对其进行定量分析和评估。本文给出了B-RAN池化原理的数学基础。我们首先提出了B- RAN的系统模型，并引入了有效网络容量的概念来衡量网络性能。我们通过推导有效网络容量来量化池化在B- RAN中的效果，并说明B- RAN的池化原理。最后给出了仿真结果，为B- RAN的池化原理提供了有说服力的证据。
{"title":"Analysis of Pooling Principle in Blockchain Radio Access Network","authors":"Z. Wang, Weihang Cao, Xintong Ling, Yuwei Le, Jiaheng Wang, Zhi Ding","doi":"10.1109/iccworkshops53468.2022.9814583","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814583","url":null,"abstract":"Blockchain radio access network (B-RAN), as a new paradigm of wireless access, utilizes blockchain to facilitate and safeguard multisided resource sharing and pooling. B-RAN was previously claimed to benefit from network integration and collaboration, which also known as the pooling principle; however, it has never been quantitatively analyzed and assessed. In this paper, we provide the mathematical foundation of the pooling principle for B-RAN. We first present the system model of B- RAN and introduce the concept of effective network capacity to measure the network performance. We quantify the effect of pooling in B- RAN by deriving the effective network capacity and illustrate the pooling principle of B- RAN. Finally, we show the simulation results and provide convincing evidence to support the pooling principle of B- RAN.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"2011 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130811934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-16DOI: 10.1109/iccworkshops53468.2022.9814559
Jialing Chang, Junyi Yang, M. Tao, Hu Tuo
In content delivery networks (CDNs), there usually exist two types of storage disks named hard disk drive (HDD) and solid state disk (SSD), which have different read speeds and cache sizes. By accounting such a practical hardware structure of CDNs and time-variant content popularity, we propose a novel two- time-scale caching strategy to determine the content placement in HDDs and SSDs. Specifically, we first propose a Stratification and Clustering based Ridge regression model with Laplacian regularization (SCRL) to predict the dynamic content popularity by utilizing both the video feature and user preference. The additional Laplacian regularization improves the prediction performance by leveraging the neighboring information of each video. Based on the predicted results, we then design an efficient hybrid proactive and reactive cache replacement strategy (HPRR) on a two-time-scale basis. Real-world trace-based numerical results show that the proposed prediction and caching strategy can significantly outperform the considered existing methods.
在cdn (content delivery network)中，通常有两种存储磁盘:HDD (hard disk drive)和SSD (solid state disk)，它们具有不同的读取速度和缓存大小。考虑到cdn的实际硬件结构和时变内容的流行程度，我们提出了一种新的双时间尺度缓存策略来确定hdd和ssd中的内容位置。具体而言，我们首先提出了一种基于分层和聚类的拉普拉斯正则化(SCRL)岭回归模型，通过利用视频特征和用户偏好来预测动态内容的流行程度。额外的拉普拉斯正则化通过利用每个视频的相邻信息来提高预测性能。基于预测结果，我们设计了一种高效的双时间尺度主动和被动混合缓存替换策略(HPRR)。基于实际跟踪的数值结果表明，所提出的预测和缓存策略明显优于现有的方法。
{"title":"Two- Time-Scale Hybrid Proactive and Reactive Edge Caching for Content Delivery Networks","authors":"Jialing Chang, Junyi Yang, M. Tao, Hu Tuo","doi":"10.1109/iccworkshops53468.2022.9814559","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814559","url":null,"abstract":"In content delivery networks (CDNs), there usually exist two types of storage disks named hard disk drive (HDD) and solid state disk (SSD), which have different read speeds and cache sizes. By accounting such a practical hardware structure of CDNs and time-variant content popularity, we propose a novel two- time-scale caching strategy to determine the content placement in HDDs and SSDs. Specifically, we first propose a Stratification and Clustering based Ridge regression model with Laplacian regularization (SCRL) to predict the dynamic content popularity by utilizing both the video feature and user preference. The additional Laplacian regularization improves the prediction performance by leveraging the neighboring information of each video. Based on the predicted results, we then design an efficient hybrid proactive and reactive cache replacement strategy (HPRR) on a two-time-scale basis. Real-world trace-based numerical results show that the proposed prediction and caching strategy can significantly outperform the considered existing methods.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127878676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-16DOI: 10.1109/iccworkshops53468.2022.9814602
Takuya Yashima, Hiroki Nishiyama
Integrated access and backhaul (IAB) was intro-duced by the 3rd Generation Partnership Project (3GPP) to reduce the cost of backhaul links (BL) and construct networks that are more flexible than existing networks by replacing fiber BL with wireless BL. In this paper, we highlight enhancements of resource duplexing in IAB. In the IAB of Release 16, 3GPP supported half-duplex IAB, whereas in Release 17, 3GPP is considering full-duplex (FD) IAB. In FD IAB, the sum of the system's bandwidth (BW) is fixed, and we can partition the BW into each channel. In this paper, we focus on the frequency-division multi- plexing FD IAB system proposed by previous research, where the IAB nodes do not experience self-interference. To clarify the system's performance potential, the cross-link interference and concrete wireless nature are not taken into account in this study. We analyze the optimal BW partitioning ratio to maximize the system's spectral efficiency. Our results show that the ratio is dependent on channel conditions, for example, the signal-to- noise ratio and the minimum rate guarantee of user equipments according to a certain rule.
{"title":"Analysis of Optimal Bandwidth Partitioning Ratio in Full-Duplex Integrated Access and Backhaul","authors":"Takuya Yashima, Hiroki Nishiyama","doi":"10.1109/iccworkshops53468.2022.9814602","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814602","url":null,"abstract":"Integrated access and backhaul (IAB) was intro-duced by the 3rd Generation Partnership Project (3GPP) to reduce the cost of backhaul links (BL) and construct networks that are more flexible than existing networks by replacing fiber BL with wireless BL. In this paper, we highlight enhancements of resource duplexing in IAB. In the IAB of Release 16, 3GPP supported half-duplex IAB, whereas in Release 17, 3GPP is considering full-duplex (FD) IAB. In FD IAB, the sum of the system's bandwidth (BW) is fixed, and we can partition the BW into each channel. In this paper, we focus on the frequency-division multi- plexing FD IAB system proposed by previous research, where the IAB nodes do not experience self-interference. To clarify the system's performance potential, the cross-link interference and concrete wireless nature are not taken into account in this study. We analyze the optimal BW partitioning ratio to maximize the system's spectral efficiency. Our results show that the ratio is dependent on channel conditions, for example, the signal-to- noise ratio and the minimum rate guarantee of user equipments according to a certain rule.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115651528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-16DOI: 10.1109/iccworkshops53468.2022.9814645
Lorenzo Pucci, Elisabetta Matricardi, E. Paolini, Wen Xu, A. Giorgetti
In this work, we consider a multiple-input multiple-output (MIMO) 5G new radio (NR) system acting as a bistatic sensor able to estimate the position of a target via bistatic range and direction of arrival (DoA) estimation. The system, constituted by a transmitter and a receiver, not co-located, performs beam scanning at the transmitter to help the receiver sense the environment, using a fraction of the transmitted power. We study the sensing performance in terms of root mean squared error (RMSE) of bistatic range, DoA, and position estimation of a target under line-of-sight (LOS) propagation conditions. Lastly, we provide an in-depth investigation of the sensing system coverage, by varying the fraction of power reserved for sensing and the distance between transmitter and receiver.
{"title":"Performance Analysis of a Bistatic Joint Sensing and Communication System","authors":"Lorenzo Pucci, Elisabetta Matricardi, E. Paolini, Wen Xu, A. Giorgetti","doi":"10.1109/iccworkshops53468.2022.9814645","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814645","url":null,"abstract":"In this work, we consider a multiple-input multiple-output (MIMO) 5G new radio (NR) system acting as a bistatic sensor able to estimate the position of a target via bistatic range and direction of arrival (DoA) estimation. The system, constituted by a transmitter and a receiver, not co-located, performs beam scanning at the transmitter to help the receiver sense the environment, using a fraction of the transmitted power. We study the sensing performance in terms of root mean squared error (RMSE) of bistatic range, DoA, and position estimation of a target under line-of-sight (LOS) propagation conditions. Lastly, we provide an in-depth investigation of the sensing system coverage, by varying the fraction of power reserved for sensing and the distance between transmitter and receiver.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114055349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-16DOI: 10.1109/iccworkshops53468.2022.9814469
Seunghyun Lee, Woo-Yeol Jeong, Jungsoo Jung, Juho Lee, Sunghyun Choi
This paper presents a new physical random access channel (PRACH) preamble design suitable for the next-generation 6G cellular communication systems operating in the sub-Terahertz (THz) bands. In these extremely high frequency channels, the subcarrier spacing (SCS) of the orthogonal frequency-division multiplexing (OFDM) based waveform should be significantly increased at least to MHz-level to mitigate the severe effect of phase noise, thus resulting in the OFDM symbol length of several hundreds of nano-seconds. Under this setup with nano-scale OFDM symbol length, a new paradigm of PRACH preamble design is required, since the conventional 5G PRACH only works under the assumption of sufficiently large OFDM symbol length to enable the base station (BS) to estimate the round-trip propagation delay (RTD) of users' non-synchronized uplink signals in a cell. To this end, we propose a new structure of two-part PRACH preamble and the corresponding two-step detection method. It is shown that the scalable structure of the proposed preamble design facilitates practical estimation of RTD at the BS under various sub-THz environments with very small OFDM symbol length as well as arbitrary cell size. The proposed schemes will provide important insights in designing sub-THz cellular systems adopting MHz-level SCS.
{"title":"A New Preamble Signal Design for Random Access in Sub-Terahertz 6G Cellular Systems","authors":"Seunghyun Lee, Woo-Yeol Jeong, Jungsoo Jung, Juho Lee, Sunghyun Choi","doi":"10.1109/iccworkshops53468.2022.9814469","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814469","url":null,"abstract":"This paper presents a new physical random access channel (PRACH) preamble design suitable for the next-generation 6G cellular communication systems operating in the sub-Terahertz (THz) bands. In these extremely high frequency channels, the subcarrier spacing (SCS) of the orthogonal frequency-division multiplexing (OFDM) based waveform should be significantly increased at least to MHz-level to mitigate the severe effect of phase noise, thus resulting in the OFDM symbol length of several hundreds of nano-seconds. Under this setup with nano-scale OFDM symbol length, a new paradigm of PRACH preamble design is required, since the conventional 5G PRACH only works under the assumption of sufficiently large OFDM symbol length to enable the base station (BS) to estimate the round-trip propagation delay (RTD) of users' non-synchronized uplink signals in a cell. To this end, we propose a new structure of two-part PRACH preamble and the corresponding two-step detection method. It is shown that the scalable structure of the proposed preamble design facilitates practical estimation of RTD at the BS under various sub-THz environments with very small OFDM symbol length as well as arbitrary cell size. The proposed schemes will provide important insights in designing sub-THz cellular systems adopting MHz-level SCS.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131376649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-16DOI: 10.1109/iccworkshops53468.2022.9814611
Fatemeh Kavehmadavani, Van-Dinh Nguyen, T. Vu, S. Chatzinotas
Existing radio access network (RAN) architectures are lack of sufficient openness, flexibility, and intelligence to meet the diverse demands of emerging services in beyond 5G and 6G wireless networks, including enhanced mobile broadband (eMBB) and ultra-reliable and low-latency (uRLLC). Open RAN (ORAN) is a promising paradigm that allows building a virtualized and intelligent architecture. In this paper, we focus on traffic steering (TS) scheme based on multi-connectivity (MC) and network slicing (NS) techniques to efficiently allocate heterogeneous network resources in “NextG” cellular networks. We formulate the RAN resource allocation problem to simultaneously maximize the weighted sum eMBB throughput and minimize the worst-user uRLLC latency subject to QoS requirements, and orthogonality, power, and limited fronthaul constraints. Since the formulated problem is categorized as a mixed integer nonlinear problem (MINLP), we first relax binary variables to continuous ones and develop an efficient iterative algorithm based on successive convex approximation technique. System-level simulation results demon-strate the effectiveness of the proposed algorithm, compared to several well-known benchmark schemes.
{"title":"Traffic Steering for eMBB and uRLLC Coexistence in Open Radio Access Networks","authors":"Fatemeh Kavehmadavani, Van-Dinh Nguyen, T. Vu, S. Chatzinotas","doi":"10.1109/iccworkshops53468.2022.9814611","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814611","url":null,"abstract":"Existing radio access network (RAN) architectures are lack of sufficient openness, flexibility, and intelligence to meet the diverse demands of emerging services in beyond 5G and 6G wireless networks, including enhanced mobile broadband (eMBB) and ultra-reliable and low-latency (uRLLC). Open RAN (ORAN) is a promising paradigm that allows building a virtualized and intelligent architecture. In this paper, we focus on traffic steering (TS) scheme based on multi-connectivity (MC) and network slicing (NS) techniques to efficiently allocate heterogeneous network resources in “NextG” cellular networks. We formulate the RAN resource allocation problem to simultaneously maximize the weighted sum eMBB throughput and minimize the worst-user uRLLC latency subject to QoS requirements, and orthogonality, power, and limited fronthaul constraints. Since the formulated problem is categorized as a mixed integer nonlinear problem (MINLP), we first relax binary variables to continuous ones and develop an efficient iterative algorithm based on successive convex approximation technique. System-level simulation results demon-strate the effectiveness of the proposed algorithm, compared to several well-known benchmark schemes.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131425357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-16DOI: 10.1109/iccworkshops53468.2022.9814619
Jianpeng Xu, Bo Ai, Tony Q. S. Quek, Yupei Liu
This paper investigates the reconfigurable intelligent surface (RIS)-aided high-speed railway (HSR) network, where one RIS is deployed nearby the onboard mobile relay (MR) to suppress the external interference in HSR system. In order to enhance the HSR network capacity against the interference, we formulate an optimization problem for designing the phase shifts at the RIS. Since the HSR environment is time-varying and complicated, the optimization problem is challenging to settle. Inspired by the recent advances of artificial intelligence (AI), we propose a deep reinforcement learning (DRL)-based scheme to design the RIS phase shifts. Simulation results show that 1) deploying the RIS nearby the onboard MR is strongly facilitative of suppressing the interference; 2) the proposed DRL scheme can achieve better capacity than the baseline schemes.
{"title":"Deep Reinforcement Learning for Interference Suppression in RIS-Aided High-Speed Railway Networks","authors":"Jianpeng Xu, Bo Ai, Tony Q. S. Quek, Yupei Liu","doi":"10.1109/iccworkshops53468.2022.9814619","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814619","url":null,"abstract":"This paper investigates the reconfigurable intelligent surface (RIS)-aided high-speed railway (HSR) network, where one RIS is deployed nearby the onboard mobile relay (MR) to suppress the external interference in HSR system. In order to enhance the HSR network capacity against the interference, we formulate an optimization problem for designing the phase shifts at the RIS. Since the HSR environment is time-varying and complicated, the optimization problem is challenging to settle. Inspired by the recent advances of artificial intelligence (AI), we propose a deep reinforcement learning (DRL)-based scheme to design the RIS phase shifts. Simulation results show that 1) deploying the RIS nearby the onboard MR is strongly facilitative of suppressing the interference; 2) the proposed DRL scheme can achieve better capacity than the baseline schemes.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121788093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-16DOI: 10.1109/iccworkshops53468.2022.9814683
J. Sperga, R. Bian, H. Haas
Energy efficiency is one of the main benchmarks of performance in visible light communication. Achieving high energy efficiency in a link is a challenging task when high data throughput is required. A promising approach to tackling this challenge is using multiple-input-multiple-output (MIMO) systems, which use the spatial domain for information encoding. A novel modulation scheme called Flexible light emitting diode (LED) index keying (FLIK) can harness high spectral efficiency by utilising active and inactive LED states. The high spectral efficiency, together with a straightforward encoding, makes FLIK based design a promising candidate for high energy efficiency and data throughput solutions. However, the system's performance based on FLIK depends heavily on beam selection participating in the link, which can significantly vary with the channel conditions subject to the user's position and orientation. In a dynamic use case scenario, a fast beam selection and selection re-adjustment are vital for an optimal use case. This study examines the performance of beam selection based on a maximal signal-to-noise ratio (SNR) criterion in angle diversity hemispherical transceiver systems. In this paper, a random orientation system model for FLIK is considered. The simulations are then performed considering maximal SNR and maximal Euclidean distance criteria. The performance is evaluated in terms of achievable data throughput. A selection method, based on the maximal SNR, is compared to a method based on maximising Euclidean distance. The numerical results show that for both the fixed and random orientation cases, a beam selection based on maximal SNR performs as well as the one based on Euclidean distance. This observation is valid up to 25 degrees of beam half-intensity angle, therefore, validating the use of maximal SNR condition in such systems.
{"title":"Beam Selection in Angle Diversity MIMO Systems for Optical Wireless Systems","authors":"J. Sperga, R. Bian, H. Haas","doi":"10.1109/iccworkshops53468.2022.9814683","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814683","url":null,"abstract":"Energy efficiency is one of the main benchmarks of performance in visible light communication. Achieving high energy efficiency in a link is a challenging task when high data throughput is required. A promising approach to tackling this challenge is using multiple-input-multiple-output (MIMO) systems, which use the spatial domain for information encoding. A novel modulation scheme called Flexible light emitting diode (LED) index keying (FLIK) can harness high spectral efficiency by utilising active and inactive LED states. The high spectral efficiency, together with a straightforward encoding, makes FLIK based design a promising candidate for high energy efficiency and data throughput solutions. However, the system's performance based on FLIK depends heavily on beam selection participating in the link, which can significantly vary with the channel conditions subject to the user's position and orientation. In a dynamic use case scenario, a fast beam selection and selection re-adjustment are vital for an optimal use case. This study examines the performance of beam selection based on a maximal signal-to-noise ratio (SNR) criterion in angle diversity hemispherical transceiver systems. In this paper, a random orientation system model for FLIK is considered. The simulations are then performed considering maximal SNR and maximal Euclidean distance criteria. The performance is evaluated in terms of achievable data throughput. A selection method, based on the maximal SNR, is compared to a method based on maximising Euclidean distance. The numerical results show that for both the fixed and random orientation cases, a beam selection based on maximal SNR performs as well as the one based on Euclidean distance. This observation is valid up to 25 degrees of beam half-intensity angle, therefore, validating the use of maximal SNR condition in such systems.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127764013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-16DOI: 10.1109/iccworkshops53468.2022.9814573
Saeid K. Dehkordi, Lorenzo Gaudio, M. Kobayashi, G. Colavolpe, G. Caire
Motivated by recent advances of Integrated Sensing and Communication (ISAC), we study an ISAC system operating at millimeter waves (mmWave) frequency bands where a Base Station (BS) equipped with a co-located radar receiver transmits data via a digitally modulated orthogonal time frequency space (OTFS) waveform and simultaneously performs radar estimation from the backscattered signal. We consider two system function modes. In Discovery mode, a single common data stream is broadcast over a wide angular sector where the radar receiver detects the presence of not yet acquired targets and performs coarse parameter estimation (angle of arrival, delay, and Doppler). In Tracking mode, the BS sends multiple individual data streams to already acquired users via beamforming, while the radar receiver performs fine-resolution parameter estimation. In this work a realistic hybrid digital-analog scheme for RF beamforming at mmWave is considered, where the number of RF chains for modulation/demodulation is significantly smaller than the number of array antenna elements. Hence, a direct application of standard MIMO radar approaches is not possible. Instead, we consider the design of the RF-domain “reduction matrix” (from antennas to RF chains) of the radar receiver, whose role is to trade off between the exploration capability of the angle domain and the directivity of the beamforming patterns. Under this setup, we propose an efficient maximum likelihood scheme to jointly perform target detection and parameter estimation. Our numerical results demonstrate that the proposed approach is able to reliably detect multiple targets while essentially achieving the Cramér-Rao lower bound for parameter estimation.
{"title":"Beam-Space MIMO Radar with OTFS Modulation for Integrated Sensing and Communications","authors":"Saeid K. Dehkordi, Lorenzo Gaudio, M. Kobayashi, G. Colavolpe, G. Caire","doi":"10.1109/iccworkshops53468.2022.9814573","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814573","url":null,"abstract":"Motivated by recent advances of Integrated Sensing and Communication (ISAC), we study an ISAC system operating at millimeter waves (mmWave) frequency bands where a Base Station (BS) equipped with a co-located radar receiver transmits data via a digitally modulated orthogonal time frequency space (OTFS) waveform and simultaneously performs radar estimation from the backscattered signal. We consider two system function modes. In Discovery mode, a single common data stream is broadcast over a wide angular sector where the radar receiver detects the presence of not yet acquired targets and performs coarse parameter estimation (angle of arrival, delay, and Doppler). In Tracking mode, the BS sends multiple individual data streams to already acquired users via beamforming, while the radar receiver performs fine-resolution parameter estimation. In this work a realistic hybrid digital-analog scheme for RF beamforming at mmWave is considered, where the number of RF chains for modulation/demodulation is significantly smaller than the number of array antenna elements. Hence, a direct application of standard MIMO radar approaches is not possible. Instead, we consider the design of the RF-domain “reduction matrix” (from antennas to RF chains) of the radar receiver, whose role is to trade off between the exploration capability of the angle domain and the directivity of the beamforming patterns. Under this setup, we propose an efficient maximum likelihood scheme to jointly perform target detection and parameter estimation. Our numerical results demonstrate that the proposed approach is able to reliably detect multiple targets while essentially achieving the Cramér-Rao lower bound for parameter estimation.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128088223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-16DOI: 10.1109/iccworkshops53468.2022.9814476
Ali Parchekani, S. Valaee
A Reconfigurable Intelligent Surface (RIS) is an array of individually controlled elements that can be tuned to produce desirable wireless channel condition. One of the chief goals of RIS is to extend the coverage area in cellular networks. RIS has also been used for object detection and localization by proper tuning and control of RIS elements. In this paper, we propose a new method for configuration of RIS elements to produce favorable scanning channels for object localization and shape detection. Our method is based on the Swendsen-Wang sampling algorithm, an effective sampling method that forms a random graph and creates a random binding between adjacent nodes. The simulation results show that, compared to other existing techniques, the proposed method is more accurate in object detection while enjoying lower computational complexity.
{"title":"Sensing and Localization Using Reconfigurable Intelligent Surfaces and the Swendsen-Wang Algorithm","authors":"Ali Parchekani, S. Valaee","doi":"10.1109/iccworkshops53468.2022.9814476","DOIUrl":"https://doi.org/10.1109/iccworkshops53468.2022.9814476","url":null,"abstract":"A Reconfigurable Intelligent Surface (RIS) is an array of individually controlled elements that can be tuned to produce desirable wireless channel condition. One of the chief goals of RIS is to extend the coverage area in cellular networks. RIS has also been used for object detection and localization by proper tuning and control of RIS elements. In this paper, we propose a new method for configuration of RIS elements to produce favorable scanning channels for object localization and shape detection. Our method is based on the Swendsen-Wang sampling algorithm, an effective sampling method that forms a random graph and creates a random binding between adjacent nodes. The simulation results show that, compared to other existing techniques, the proposed method is more accurate in object detection while enjoying lower computational complexity.","PeriodicalId":102261,"journal":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132627794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：