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RISS 인기검색어
- 검색키워드
- 저자 : Chungang Yang (검색결과 3 건)
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Tradeoff between Energy-Efficiency and Spectral-Efficiency by Cooperative Rate Splitting
Yang, Chungang,Yue, Jian,Sheng, Min,Li, Jiandong The Korea Institute of Information and Commucation 2014 Journal of communications and networks Vol.16 No.2
The trend of an increasing demand for a high-quality user experience, coupled with a shortage of radio resources, has necessitated more advanced wireless techniques to cooperatively achieve the required quality-of-experience enhancement. In this study, we investigate the critical problem of rate splitting in heterogeneous cellular networks, where concurrent transmission, for instance, the coordinated multipoint transmission and reception of LTE-A systems, shows promise for improvement of network-wide capacity and the user experience. Unlike most current studies, which only deal with spectral efficiency enhancement, we implement an optimal rate splitting strategy to improve both spectral efficiency and energy efficiency by exploring and exploiting cooperation diversity. First, we introduce the motivation for our proposed algorithm, and then employ the typical cooperative bargaining game to formulate the problem. Next, we derive the best response function by analyzing the dual problem of the defined primal problem. The existence and uniqueness of the proposed cooperative bargaining equilibrium are proved, and more importantly, a distributed algorithm is designed to approach the optimal unique solution under mild conditions. Finally, numerical results show a performance improvement for our proposed distributed cooperative rate splitting algorithm.
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Tradeoff between Energy-Efficiency and Spectral-Efficiency by Cooperative Rate Splitting
Chungang Yang,Jian Yue,Min Sheng,Jiandong Li 한국통신학회 2014 Journal of communications and networks Vol.16 No.2
The trend of an increasing demand for a high-quality userexperience, coupled with a shortage of radio resources, has necessitatedmore advanced wireless techniques to cooperatively achievethe required quality-of-experience enhancement. In this study, weinvestigate the critical problem of rate splitting in heterogeneouscellular networks, where concurrent transmission, for instance, thecoordinated multipoint transmission and reception of LTE-A systems,shows promise for improvement of network-wide capacityand the user experience. Unlike most current studies, which onlydeal with spectral efficiency enhancement, we implement an optimalrate splitting strategy to improve both spectral efficiency andenergy efficiency by exploring and exploiting cooperation diversity. First, we introduce the motivation for our proposed algorithm, andthen employ the typical cooperative bargaining game to formulatethe problem. Next, we derive the best response function byanalyzing the dual problem of the defined primal problem. Theexistence and uniqueness of the proposed cooperative bargainingequilibrium are proved, and more importantly, a distributed algorithmis designed to approach the optimal unique solution undermild conditions. Finally, numerical results show a performance improvementfor our proposed distributed cooperative rate splittingalgorithm.
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A Mean Field Game-Theoretic Cross-Layer Optimization for Multi-Hop Swarm UAV Communications
Tong Li,Cong Li,Chungang Yang,Junqi Shao,Yue Zhang,Lei Pang,Lizhong Chang,Lingli Yang,Zhu Han 한국통신학회 2022 Journal of communications and networks Vol.24 No.1
Unmanned aerial vehicle (UAV) multi-hop communicationnetworks are foreseen to be widely employed inboth military and civilian scenarios. However, in ultra-densescenarios with swarm UAVs, nodes are highly dynamic mobile,ultra-dense deployment and non-centralized distribution. Thesecharacteristics make the centralized resource management policynot apply. Meanwhile, existing routing protocols can’t meetthe performance challenges of high dynamic, topology and linkfrequency changes of ultra-dense scenarios with swarm UAVs. Tosolve the above challenges of resource management and routingprotocol, a cross-layer optimization method is presented witha novel mean field game (MFG) in this paper. It is based onthe cross-layer design method of the MFG theory and jointlyconsiders the power resources in the physical layer, frequencyresources in the medium access control (MAC) layer, and routingresources in the network layer. By dividing into subproblems,the original problem is solved. Meanwhile, the optimal datatransmission path can be selected through the management andallocation of frequency resources and power resources. A crosslayerresource management dynamic source routing (CLRMDSR)protocol is designed based on that which adds link qualitymeasurement. The simulation results show that the presentedCLRM-DSR with the proposed resource management schemecan improve the data packet transmission rate, reduce end-toenddelay, and lower routing overhead for the multi-hop swarmUAV communication network.
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