能量可转移小基站联盟博弈资源优化算法
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摘要
为提高系统容量和能量效率,本算法针对能量采集小基站网络下行场景,提出采集能量可转移的联盟博弈算法。首先建立能量采集小基站网络模型,邻近小基站间以传输线连接并可以能量转移;提出了分布式的联盟形成算法,该算法以频带效率为效用函数,根据算法得到时间以及能量共享策略,小基站调整其发射功率;制定转移准则控制联盟形成,保证联盟结构的优化和算法收敛性。仿真结果表明,提出的算法能合理分配采集的能量,有效提高系统的频谱效率,并改善了用户的服务满意度。
For downlink energy-harvesting small cell networks,a coalitional game-based optimal resource allocation algorithm is proposed in this paper to improve system capacity and energy efficiency. Firstly,the energy-harvesting small cell network model is established,in which small cells are connected by transmit lines and able to share energy. Then,based on the proposed time and energy strategy,a decentralized coalition formation algorithm is presented and the small cell transmit power is adjusted. For ensuring the convergence of the algorithm,the small cell transition rules are put forward to control the coalition formation,which would also guarantee the optimization of the game. The simulation results show that the proposed algorithm could improve the system frequency efficiency by sharing energy reasonably. What's more,the satisfaction of service is also demonstrated to be improved.
For downlink energy-harvesting small cell networks,a coalitional game-based optimal resource allocation algorithm is proposed in this paper to improve system capacity and energy efficiency. Firstly,the energy-harvesting small cell network model is established,in which small cells are connected by transmit lines and able to share energy. Then,based on the proposed time and energy strategy,a decentralized coalition formation algorithm is presented and the small cell transmit power is adjusted. For ensuring the convergence of the algorithm,the small cell transition rules are put forward to control the coalition formation,which would also guarantee the optimization of the game. The simulation results show that the proposed algorithm could improve the system frequency efficiency by sharing energy reasonably. What's more,the satisfaction of service is also demonstrated to be improved.
引文
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[12]Shi Y,Zhu G,Lin S,et al.RSSI-based dynamic coalition formation for cooperative interference management in femtocell networks[C]∥Wireless Communications and Mobile Computing Conference.IEEE,2015:1400-1405.
[13]Huang Z,Tian H,Qin C,et al.A Social-Energy Based Cluster Management Scheme for User-Centric Ultra-Dense Networks[J].IEEE Access,2017,5(99):10769-10781.
[14]Zhao Y,Huang Z,Zhang X,et al.A coalitional game based mechanism for resource sharing in geo-distributed mobile cloud computing[C]∥Chinese Control and Decision Conference.2017:3758-3763.
[15]Claussen H,Ho L,Samuel L.Self-optimization of coverage for femtocell developments[C]∥Wireless Telecommunications Symposium,2008:278-285.
[2]Fu S,Wen H,Wu J,et al.Energy-Efficient Precoded Coordinated Multi-Point Transmission With Pricing Power Game Mechanism[J].IEEE Systems Journal,2016,PP(99):1-10.
[3]Li R,Ma W.Energy-aware competitive power distributed allocation in multi-cell cellular networks[C]∥International Conference on Progress in Informatics and Computing.IEEE,2017.
[4]Lu Z,Sun Y,Wen X,et al.An energy-efficient power control algorithm in femtocell networks[C]∥International Conference on Computer Science&Education.IEEE,2012:395-400.
[5]Tong H,Zhang G,Wan L,et al.Joint resource allocation with energy harvesting base stations in two adjacent cells[C]∥IEEE International Conference on Consumer Electronics-China.IEEE,2017.
[6]Sun Y,Zhang B,Peng M,et al.Interference coordination in small cell networks using coalition formation game[C]∥Ieee/cic International Conference on Communications in China.IEEE,2015:642-646.
[7]Ahmed M,Peng M,Abana M,et al.Interference Coordination in Heterogeneous Small-Cell Networks:A Coalition Formation Game Approach[J].IEEE Systems Journal,2015,PP(99):1-12.
[8]Hajir M,Langar R,Gagnon F.Coalitional Games for Joint Co-Tier and Cross-Tier Cooperative Spectrum Sharing in Dense Heterogeneous Networks[J].IEEE Access,2016,4:2450-2464.
[9]Tran Kien Thuc,Ekram Hossain,Hina Tabassum.Downlink power control in two-tier cellular networks with energy-harvesting small cells as stochastic games[J].IEEE Transactions on Communications,2015,63(12):5267-5282.
[10]Zhang Z,Song L,Han Z,et al.Coalitional Games with Overlapping Coalitions for Interference Management in Small Cell Networks[J].IEEE Transactions on Wireless Communications,2014,13(5):2659-2669.
[11]Pantisano F,Bennis M,Saad W,et al.Coalition formation games for femtocell interference management:A recursive core approach[C]∥Wireless Communications and NETWORKING Conference.IEEE,2011:1161-1166.
[12]Shi Y,Zhu G,Lin S,et al.RSSI-based dynamic coalition formation for cooperative interference management in femtocell networks[C]∥Wireless Communications and Mobile Computing Conference.IEEE,2015:1400-1405.
[13]Huang Z,Tian H,Qin C,et al.A Social-Energy Based Cluster Management Scheme for User-Centric Ultra-Dense Networks[J].IEEE Access,2017,5(99):10769-10781.
[14]Zhao Y,Huang Z,Zhang X,et al.A coalitional game based mechanism for resource sharing in geo-distributed mobile cloud computing[C]∥Chinese Control and Decision Conference.2017:3758-3763.
[15]Claussen H,Ho L,Samuel L.Self-optimization of coverage for femtocell developments[C]∥Wireless Telecommunications Symposium,2008:278-285.