采用随机几何工具的终端直通通信接入控制方法
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摘要
针对现有具备终端直通(Device-to-Device,D2D)功能的蜂窝网络的干扰管理问题,提出一种新型的采用随机几何工具的D2D通信接入控制方法。利用随机过程理论以及随机几何工具建立模型分析邻近基站和D2D通信对蜂窝通信的影响,并推导蜂窝业务接入失败概率表达式。基于该表达式能够计算网络允许的最大D2D用户密度,辅助D2D通信接入控制实现干扰管理。仿真证明基于所提数值计算方法获得的估计结果与蒙特卡洛仿真结果相符,且通过合理限制D2D用户密度和D2D用户发射功率可满足指定的蜂窝业务接入失败概率要求。
In order to solve the problem of the interference management in D2 D( device-to-device) underlaid cellular networks,a new design of stochastic geometry based access control for D2 D communications was proposed. Based on the stochastic process theory and the stochastic geometry tool,the cellular services' access failure probability expression was derived to determine the impact from other-cell base stations and D2 D communications on the cellular communication. Given the constraint of access failure probability,the maximum D2 D transmitters density was calculated according to the expression. As a result,the base stations realized the access control for D2 D users and guaranteed the access failure probability of cellular services. The calculated access failure probability of cellular services was validated by extensive simulations. The simulation results verify that the estimation result from the proposed numerical calculation is consistent with the Monte Carlo simulation result,and the cellular services' access failure probability requirement can be satisfied by limiting the density and the transmission power of D2 D transmitters.
In order to solve the problem of the interference management in D2 D( device-to-device) underlaid cellular networks,a new design of stochastic geometry based access control for D2 D communications was proposed. Based on the stochastic process theory and the stochastic geometry tool,the cellular services' access failure probability expression was derived to determine the impact from other-cell base stations and D2 D communications on the cellular communication. Given the constraint of access failure probability,the maximum D2 D transmitters density was calculated according to the expression. As a result,the base stations realized the access control for D2 D users and guaranteed the access failure probability of cellular services. The calculated access failure probability of cellular services was validated by extensive simulations. The simulation results verify that the estimation result from the proposed numerical calculation is consistent with the Monte Carlo simulation result,and the cellular services' access failure probability requirement can be satisfied by limiting the density and the transmission power of D2 D transmitters.
引文
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[9]孙鹏.基于随机几何理论的嵌入D2D功能蜂窝网络干扰管理研究[D].西安:西安电子科技大学,2017.SUN Peng. Research on interference management in D2Denabled cellular networks based on stochastic geometry[D].Xi'an:Xidian University,2017.(in Chinese)
[10]Ye Q Y,Al-shalash M, Caramanis C, et al. Resource optimization in device-to-device cellular systems using timefrequency hopping[J]. IEEE Transactions on Wireless Communications,2014,13(10):5467-5480.
[11]Fang Y G,Zhang Y. Call admission control schemes and performance analysis in wireless mobile networks[J]. IEEE Transactions on Vehicular Technology, 2002, 51(2):371-382.
[12]Lin X Q,Andrews J G,Ghosh A. Spectrum sharing for device-to-device communication in cellular networks[J].IEEE Transactions on Wireless Communications, 2014,13(12):6727-6740.
[13]Lee N,Lin X Q,Andrews J G,et al. Power control for D2D underlaid cellular networks:modeling, algorithms, and analysis[J]. IEEE Journal on Selected Areas in Communications,2015,33(1):1-13.
[2]Asadi A,Wang Q,Mancuso V. A survey on device-to-device communication in cellular networks[J]. IEEE Communications Surveys&Tutorials,2014,16(4):1801-1819.
[3]Lin W,Ziolkowski R W,Baum T C,et al. 28 GHz compact omnidirectional circularly polarized antenna for device-todevice(D2D)communications in future 5G systems[J].IEEE Transactions on Antennas&Propagation, 2017,65(12):6904-6914.
[4]Tehrani M N,Uysal M,Yanikomeroglu H. Device-to-device communication in 5G cellular networks:challenges,solutions,and future directions[J]. IEEE Communications Magazine,2014,52(5):86-92.
[5]Gu J,Bae S J,Choi B G,et al. Dynamic power control mechanism for interference coordination of device-to-device communication in cellular networks[C]//Proceedings of International Conference on Ubiquitous and Future Networks,2011:71-75.
[6]Yu C H,Tirkkonen O,Doppler K,et al. On the performance of device-to-device underlay communication with simple power control[C]//Proceedings of 69th Vehicular Technology Conference,2009.
[7]Feng D Q, Lu L, Yi Y W, et al. Device-to-device communications underlaying cellular networks[J]. IEEE Transactions on Communications,2013,61(8):3541-3551.
[8]Zhang W N,Zhang H L,Li W F,et al. A combining call admission control and power control scheme for D2D communications underlaying cellular networks[J]. China Communications,2016,13(10):137-145.
[9]孙鹏.基于随机几何理论的嵌入D2D功能蜂窝网络干扰管理研究[D].西安:西安电子科技大学,2017.SUN Peng. Research on interference management in D2Denabled cellular networks based on stochastic geometry[D].Xi'an:Xidian University,2017.(in Chinese)
[10]Ye Q Y,Al-shalash M, Caramanis C, et al. Resource optimization in device-to-device cellular systems using timefrequency hopping[J]. IEEE Transactions on Wireless Communications,2014,13(10):5467-5480.
[11]Fang Y G,Zhang Y. Call admission control schemes and performance analysis in wireless mobile networks[J]. IEEE Transactions on Vehicular Technology, 2002, 51(2):371-382.
[12]Lin X Q,Andrews J G,Ghosh A. Spectrum sharing for device-to-device communication in cellular networks[J].IEEE Transactions on Wireless Communications, 2014,13(12):6727-6740.
[13]Lee N,Lin X Q,Andrews J G,et al. Power control for D2D underlaid cellular networks:modeling, algorithms, and analysis[J]. IEEE Journal on Selected Areas in Communications,2015,33(1):1-13.