The proliferation of the Internet of Things (IoT) has elevated the demand for energy-efficient gateway solutions, particularly for battery-powered Wi-Fi devices functioning as gateways in IoT data collection. Traditional approaches either neglect gateway energy consumption or struggle to balance energy efficiency with delay requirements. To address this, we introduce the Dual-interface Gateway Activation (DGA) scheme, a significant advancement enhancing IoT gateway energy management via interactive cooperation between ZigBee and Wi-Fi. DGA’s core innovation lies in its dual-interface design and heterogeneity-aware activation strategy. By leveraging coexisting low-power ZigBee communications, DGA dynamically activates the gateway’s high-power Wi-Fi interface only when necessary for data reception, effectively decoupling power consumption from continuous Wi-Fi operation. Meanwhile, DGA conservatively schedules high-reliability Wi-Fi sessions to augment unreliable ZigBee communications, thereby ensuring prompt gateway activation for delay-bounded data delivery under varying network conditions. This innovative approach not only guarantees high energy efficiency but also low latency, overcoming the limitations of single-interface gateways. Experimental validation of our prototype system demonstrates DGA’s superior performance, achieving up to 62.1% and 45.9% reductions in gateway energy consumption compared to state-of-the-art single-interface and dual-interface solutions, respectively. Additionally, DGA attains lower node energy consumption, further highlighting its potential to enable more energy-efficient IoT networks.
{"title":"Delay-Aware Dual-Interface Gateway Activation for Energy-Efficient Data Collection in IoT","authors":"Hua Qin;Hao Chen;Ni Li;Yaqi Deng;Gelan Yang;Yang Peng","doi":"10.1109/TGCN.2024.3510012","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3510012","url":null,"abstract":"The proliferation of the Internet of Things (IoT) has elevated the demand for energy-efficient gateway solutions, particularly for battery-powered Wi-Fi devices functioning as gateways in IoT data collection. Traditional approaches either neglect gateway energy consumption or struggle to balance energy efficiency with delay requirements. To address this, we introduce the Dual-interface Gateway Activation (DGA) scheme, a significant advancement enhancing IoT gateway energy management via interactive cooperation between ZigBee and Wi-Fi. DGA’s core innovation lies in its dual-interface design and heterogeneity-aware activation strategy. By leveraging coexisting low-power ZigBee communications, DGA dynamically activates the gateway’s high-power Wi-Fi interface only when necessary for data reception, effectively decoupling power consumption from continuous Wi-Fi operation. Meanwhile, DGA conservatively schedules high-reliability Wi-Fi sessions to augment unreliable ZigBee communications, thereby ensuring prompt gateway activation for delay-bounded data delivery under varying network conditions. This innovative approach not only guarantees high energy efficiency but also low latency, overcoming the limitations of single-interface gateways. Experimental validation of our prototype system demonstrates DGA’s superior performance, achieving up to 62.1% and 45.9% reductions in gateway energy consumption compared to state-of-the-art single-interface and dual-interface solutions, respectively. Additionally, DGA attains lower node energy consumption, further highlighting its potential to enable more energy-efficient IoT networks.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 3","pages":"1064-1078"},"PeriodicalIF":6.7,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144880561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper proposes an energy buffer aided cooperative wireless-powered non-orthogonal multiple access (NOMA) system, which includes a base station (BS), a near user (NU), and a far user (FU). To consider a more general case and improve the system performance as much as possible, both the NU and FU are equipped with energy buffers. Two different energy management policies are considered at the NU and FU, namely the best-effort policy (BEP) and on-off policy (OOP). In the proposed system, the NU and FU first collect and store radio frequency based energy from the BS. Then, the FU uses the stored energy to transmit its signal to both the BS and NU. The NU decodes the received signal from the FU and uses the stored energy to transmit the superimposed signal that consists of its own signal and the decoded FU signal to the BS. The outage probability and throughput expressions of the proposed system with BEP and OOP are derived over Rayleigh fading channels. Results reveal that the proposed system can significantly improve the performance of FU compared to the energy buffer aided non-cooperative wireless-powered NOMA system, and can outperform the buffer-less cooperative wireless-powered NOMA system.
{"title":"Performance Analysis of Cooperative Wireless-Powered NOMA System With Energy Buffer","authors":"Kengyuan Xie;Guofa Cai;Ting Ning;Jiguang He;Georges Kaddoum","doi":"10.1109/TGCN.2024.3509989","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3509989","url":null,"abstract":"This paper proposes an energy buffer aided cooperative wireless-powered non-orthogonal multiple access (NOMA) system, which includes a base station (BS), a near user (NU), and a far user (FU). To consider a more general case and improve the system performance as much as possible, both the NU and FU are equipped with energy buffers. Two different energy management policies are considered at the NU and FU, namely the best-effort policy (BEP) and on-off policy (OOP). In the proposed system, the NU and FU first collect and store radio frequency based energy from the BS. Then, the FU uses the stored energy to transmit its signal to both the BS and NU. The NU decodes the received signal from the FU and uses the stored energy to transmit the superimposed signal that consists of its own signal and the decoded FU signal to the BS. The outage probability and throughput expressions of the proposed system with BEP and OOP are derived over Rayleigh fading channels. Results reveal that the proposed system can significantly improve the performance of FU compared to the energy buffer aided non-cooperative wireless-powered NOMA system, and can outperform the buffer-less cooperative wireless-powered NOMA system.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 3","pages":"1050-1063"},"PeriodicalIF":6.7,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144887856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-28DOI: 10.1109/TGCN.2024.3507921
Yaqi Li;Xiaoyu Sun;Jiamin Li;Pengcheng Zhu;Dongming Wang
The network-assisted full-duplex (NAFD) system enables simultaneous uplink (UL) and downlink (DL) transmission through dynamic allocation of UL and DL remote antenna units (RAUs), thereby greatly improves the system’s performance. This article explores the optimization of long-term energy efficiency (EE) for the NAFD cell-free massive multiple-input multiple-output (CF-mMIMO) system. In order to maximize long-term EE while maintaining network stability, an Energy-Efficient Lyapunov-guided duplex mode optimization scheme (EE-LyDMO) is proposed subject to data queue stability, average power consumption limit, and instantaneous quality of service (QoS) requirements. By introducing the Lyapunov framework, the original stochastic problem is converted into an equivalent instantaneous deterministic problem. Furthermore, a reinforcement learning (RL)-based duplex mode optimization algorithm is introduced to address the instantaneous problem. Theoretical analysis and simulation results showcase that the proposed EE-LyDMO can attain a substantial improvement in EE performance while upholding network stability, and the EE-backlog tradeoff is derived as $[mathcal {O}(1 / V), mathcal {O}(V)]$ with V as a control parameter.
{"title":"Long-Term Energy-Efficient Duplex Mode Optimization for Cell-Free Massive MIMO Systems With Network-Assisted Full-Duplex","authors":"Yaqi Li;Xiaoyu Sun;Jiamin Li;Pengcheng Zhu;Dongming Wang","doi":"10.1109/TGCN.2024.3507921","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3507921","url":null,"abstract":"The network-assisted full-duplex (NAFD) system enables simultaneous uplink (UL) and downlink (DL) transmission through dynamic allocation of UL and DL remote antenna units (RAUs), thereby greatly improves the system’s performance. This article explores the optimization of long-term energy efficiency (EE) for the NAFD cell-free massive multiple-input multiple-output (CF-mMIMO) system. In order to maximize long-term EE while maintaining network stability, an Energy-Efficient Lyapunov-guided duplex mode optimization scheme (EE-LyDMO) is proposed subject to data queue stability, average power consumption limit, and instantaneous quality of service (QoS) requirements. By introducing the Lyapunov framework, the original stochastic problem is converted into an equivalent instantaneous deterministic problem. Furthermore, a reinforcement learning (RL)-based duplex mode optimization algorithm is introduced to address the instantaneous problem. Theoretical analysis and simulation results showcase that the proposed EE-LyDMO can attain a substantial improvement in EE performance while upholding network stability, and the EE-backlog tradeoff is derived as <inline-formula> <tex-math>$[mathcal {O}(1 / V), mathcal {O}(V)]$ </tex-math></inline-formula> with V as a control parameter.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 3","pages":"1036-1049"},"PeriodicalIF":6.7,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144887755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Optical networks-on-chips (ONoCs) have emerged as the most promising solution for on-chip interconnection networks, offering distinct advantages such as high bandwidth and low latency. However, traditional wired-based ONoCs often suffer from a high average number of hops, leading to challenges such as increased insertion loss, crosstalk noise, and energy consumption. Therefore, this paper presents a novel ONoC structure known as the metasurface ONoC (MSONoC), which integrates wired waveguide and free-space optical (FSO) transmission with the assistance of metasurfaces. Specifically, this work encompasses the design of a passive metasurface structure tailored for ONoCs, a virtual network cluster partitioning method, an optical metasurface access points select strategy, and a shortest-path routing algorithm. Performance verification is conducted using a modified Noxim simulator. The simulation results demonstrate that the proposed MSONoC offers advantages over traditional NoCs, radio frequency (RF)-based hybrid wired/wireless NoCs, and wired-based ONoCs in terms of throughput, delay, energy consumption, and signal-to-noise ratio under both synthetic traffic and real traffic models. These improvements proves the effectiveness of the MSONoC architecture in optimizing network performance, making it a promising solution for high-performance, energy-efficient communication in on-chip networks.
{"title":"MSONoC: A Metasurface-Assisted Hybrid Waveguide/FSO Network-on-Chip Architecture","authors":"Wei Sun;Jingsi Li;Pengxing Guo;Xiangyu He;Zimo Wang;Cong Hu;Weichen Liu;Weigang Hou;Lei Guo","doi":"10.1109/TGCN.2024.3506752","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3506752","url":null,"abstract":"Optical networks-on-chips (ONoCs) have emerged as the most promising solution for on-chip interconnection networks, offering distinct advantages such as high bandwidth and low latency. However, traditional wired-based ONoCs often suffer from a high average number of hops, leading to challenges such as increased insertion loss, crosstalk noise, and energy consumption. Therefore, this paper presents a novel ONoC structure known as the metasurface ONoC (MSONoC), which integrates wired waveguide and free-space optical (FSO) transmission with the assistance of metasurfaces. Specifically, this work encompasses the design of a passive metasurface structure tailored for ONoCs, a virtual network cluster partitioning method, an optical metasurface access points select strategy, and a shortest-path routing algorithm. Performance verification is conducted using a modified Noxim simulator. The simulation results demonstrate that the proposed MSONoC offers advantages over traditional NoCs, radio frequency (RF)-based hybrid wired/wireless NoCs, and wired-based ONoCs in terms of throughput, delay, energy consumption, and signal-to-noise ratio under both synthetic traffic and real traffic models. These improvements proves the effectiveness of the MSONoC architecture in optimizing network performance, making it a promising solution for high-performance, energy-efficient communication in on-chip networks.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 3","pages":"873-888"},"PeriodicalIF":6.7,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144887718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-27DOI: 10.1109/TGCN.2024.3505854
Kai Jiang;Jie Wang;Jiamin Li;Pengcheng Zhu;Dongming Wang
In the context of 6G, one of the emerging and dominant services is massive ultra-reliable and low-latency communication (mURLLC). To reduce signaling overhead and access delay, mURLLC widely adopts grant-free random access (GFRA). The first step of GFRA is active user detection (AUD), which aims to accurately and promptly identify the set of active users and determine the active channels. Traditional AUD schemes are based on iterative computations for a large number of users, leading to excessive computational load and processing delay, which severely limits the system scalability in mURLLC. Considering the high reliability and near real-time requirements of mURLLC, based on the spatial extension units (SEUs)-assisted cell-free massive multiple-input multiple-output (CF-mMIMO) system, we exploit channel sparsity to propose a scalable AUD method based on federated learning (FL). Our scheme integrate the model parameters trained at various SEUs at the centralized computing unit (CPU) without data sharing, thereby enhancing the channel detection performance within each AP cluster. Simulation results demonstrate that our scheme significantly improves detection performance compared to traditional AUD methods.
在6G的背景下，一个新兴且占主导地位的服务是大规模超可靠和低延迟通信（mURLLC）。为了减少信令开销和访问延迟，mURLLC广泛采用GFRA （grant-free random access）。GFRA的第一步是活跃用户检测（active user detection， AUD），目的是准确、及时地识别活跃用户集合，确定活跃通道。传统的AUD方案基于大量用户的迭代计算，导致计算负荷过大和处理延迟，严重限制了mURLLC下系统的可扩展性。考虑到mURLLC的高可靠性和近实时性要求，基于空间扩展单元（seu）辅助的海量多输入多输出（CF-mMIMO）系统，利用信道稀疏性提出了一种基于联邦学习（FL）的可扩展AUD方法。我们的方案在中央计算单元（CPU）上集成了在不同seu上训练的模型参数，而没有数据共享，从而提高了每个AP集群内的信道检测性能。仿真结果表明，与传统AUD方法相比，我们的方案显著提高了检测性能。
{"title":"Scalable Active User Detection Based on Federated Learning in Cell-Free Massive MIMO System","authors":"Kai Jiang;Jie Wang;Jiamin Li;Pengcheng Zhu;Dongming Wang","doi":"10.1109/TGCN.2024.3505854","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3505854","url":null,"abstract":"In the context of 6G, one of the emerging and dominant services is massive ultra-reliable and low-latency communication (mURLLC). To reduce signaling overhead and access delay, mURLLC widely adopts grant-free random access (GFRA). The first step of GFRA is active user detection (AUD), which aims to accurately and promptly identify the set of active users and determine the active channels. Traditional AUD schemes are based on iterative computations for a large number of users, leading to excessive computational load and processing delay, which severely limits the system scalability in mURLLC. Considering the high reliability and near real-time requirements of mURLLC, based on the spatial extension units (SEUs)-assisted cell-free massive multiple-input multiple-output (CF-mMIMO) system, we exploit channel sparsity to propose a scalable AUD method based on federated learning (FL). Our scheme integrate the model parameters trained at various SEUs at the centralized computing unit (CPU) without data sharing, thereby enhancing the channel detection performance within each AP cluster. Simulation results demonstrate that our scheme significantly improves detection performance compared to traditional AUD methods.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 3","pages":"1442-1452"},"PeriodicalIF":6.7,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144887724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-26DOI: 10.1109/TGCN.2024.3506153
{"title":"2024 Index IEEE Transactions on Green Communications and Networking Vol. 8","authors":"","doi":"10.1109/TGCN.2024.3506153","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3506153","url":null,"abstract":"","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"8 4","pages":"1-35"},"PeriodicalIF":5.3,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10768869","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142713816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-21DOI: 10.1109/TGCN.2024.3503687
Zhichao Sheng;Hao Hu;Ali A. Nasir;Yong Fang;Daniel B. da Costa
We consider a mobile edge computing (MEC) framework empowered by unmanned aerial vehicle (UAV) and reflecting intelligent surface (RIS) serving multiple ground users in a practical environment, where mobile ground users generate movements and tasks randomly. Our objective is to optimize energy efficiency while ensuring long-term data queue stability, assuming knowledge of the channel state information. The problem is formulated as a stochastic optimization problem, and the Lyapunov method is applied to convert the initial problem into per-slot problems. Without the future knowledge of user movement, we consider the outage constraint into the per-slot problem to derive robust resource allocation and trajectory design in the MEC system. For each per-slot problem, an alternating optimization algorithm utilizing successive convex approximation technique is designed to solve it. This solution guarantees adherence to the UAV energy budget constraint while achieving a balance between system energy efficiency and the length of the queue backlog. Simulation results demonstrate that the proposed algorithm achieves better performance than other benchmark methods in terms of improving energy efficiency and maintaining queue stability.
{"title":"Online Trajectory Planning and Resource Allocation of UAV-Enabled MEC Networks Empowered by RIS","authors":"Zhichao Sheng;Hao Hu;Ali A. Nasir;Yong Fang;Daniel B. da Costa","doi":"10.1109/TGCN.2024.3503687","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3503687","url":null,"abstract":"We consider a mobile edge computing (MEC) framework empowered by unmanned aerial vehicle (UAV) and reflecting intelligent surface (RIS) serving multiple ground users in a practical environment, where mobile ground users generate movements and tasks randomly. Our objective is to optimize energy efficiency while ensuring long-term data queue stability, assuming knowledge of the channel state information. The problem is formulated as a stochastic optimization problem, and the Lyapunov method is applied to convert the initial problem into per-slot problems. Without the future knowledge of user movement, we consider the outage constraint into the per-slot problem to derive robust resource allocation and trajectory design in the MEC system. For each per-slot problem, an alternating optimization algorithm utilizing successive convex approximation technique is designed to solve it. This solution guarantees adherence to the UAV energy budget constraint while achieving a balance between system energy efficiency and the length of the queue backlog. Simulation results demonstrate that the proposed algorithm achieves better performance than other benchmark methods in terms of improving energy efficiency and maintaining queue stability.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 3","pages":"1224-1238"},"PeriodicalIF":6.7,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144880612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-21DOI: 10.1109/TGCN.2024.3502072
Rojin Aslani;Ebrahim Saberinia
Unmanned aerial vehicles (UAVs) have emerged as pivotal mobile base stations (UAV-BSs) for vehicular communications, particularly in regions without terrestrial infrastructure. This paper deploys multiple UAV-BSs to cover a highway segment devoid of existing infrastructure. We introduce and compare two UAV-BS deployment strategies: hovering and flying, taking into account their distinct specifications. We assume full-duplex (FD) UAV-BSs facilitate both uplink (UL) and downlink (DL) communication for half-duplex (HD) vehicular users. These systems grapple with self-interference from FD UAV-BSs, interference among HD vehicular users, and inter-carrier interference (ICI) resulting from the Doppler effect induced by mobility, ultimately affecting the quality of service (QoS) for vehicular users. To address this challenge, we propose a resource allocation scheme for both systems, optimizing power allocation and frequency assignment to maximize system data rate while ensuring QoS in both UL and DL. Through theoretical analysis, we compare the computational complexity of the resource allocation scheme between the two systems. Our simulation results show the advantages of the flying UAV-BSs system, particularly in terms of a higher system data rate, an increased probability of feasibility, a reduced number of required UAV-BSs, a lower vehicular user outage ratio, and the potential for lower computational complexity in resource allocation.
{"title":"Efficient UAV Deployment for Vehicular Communications in Highway Scenarios: Hovering or Flying?","authors":"Rojin Aslani;Ebrahim Saberinia","doi":"10.1109/TGCN.2024.3502072","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3502072","url":null,"abstract":"Unmanned aerial vehicles (UAVs) have emerged as pivotal mobile base stations (UAV-BSs) for vehicular communications, particularly in regions without terrestrial infrastructure. This paper deploys multiple UAV-BSs to cover a highway segment devoid of existing infrastructure. We introduce and compare two UAV-BS deployment strategies: hovering and flying, taking into account their distinct specifications. We assume full-duplex (FD) UAV-BSs facilitate both uplink (UL) and downlink (DL) communication for half-duplex (HD) vehicular users. These systems grapple with self-interference from FD UAV-BSs, interference among HD vehicular users, and inter-carrier interference (ICI) resulting from the Doppler effect induced by mobility, ultimately affecting the quality of service (QoS) for vehicular users. To address this challenge, we propose a resource allocation scheme for both systems, optimizing power allocation and frequency assignment to maximize system data rate while ensuring QoS in both UL and DL. Through theoretical analysis, we compare the computational complexity of the resource allocation scheme between the two systems. Our simulation results show the advantages of the flying UAV-BSs system, particularly in terms of a higher system data rate, an increased probability of feasibility, a reduced number of required UAV-BSs, a lower vehicular user outage ratio, and the potential for lower computational complexity in resource allocation.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 3","pages":"857-872"},"PeriodicalIF":6.7,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144887719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-19DOI: 10.1109/TGCN.2024.3454935
Yijie Mao;Bruno Clerckx;Derrick Wing Kwan Ng;Wolfgang Utschick;Ying Cui;Timothy N. Davidson
{"title":"Guest Editorial Special Issue on Rate-Splitting Multiple Access for Future Green Communication Networks","authors":"Yijie Mao;Bruno Clerckx;Derrick Wing Kwan Ng;Wolfgang Utschick;Ying Cui;Timothy N. Davidson","doi":"10.1109/TGCN.2024.3454935","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3454935","url":null,"abstract":"","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"8 4","pages":"1291-1292"},"PeriodicalIF":5.3,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10758386","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-19DOI: 10.1109/TGCN.2024.3494575
{"title":"IEEE Transactions on Green Communications and Networking","authors":"","doi":"10.1109/TGCN.2024.3494575","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3494575","url":null,"abstract":"","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"8 4","pages":"C2-C2"},"PeriodicalIF":5.3,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10758387","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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