多信道环境下多层异构蜂窝网络的上行速率研究
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摘要
由于多层异构蜂窝网络节点的随机性、灵活性、复杂性等特点引起的层内干扰及层间干扰不容忽视,同时导致基于干扰的上行评估极为复杂。为此,从多层蜂窝网络自身结构和实际多信道环境特点出发,结合小区偏置及频率分割方案,采用随机几何理论推导多层异构蜂窝网络的用户在多信道环境下的上行平均遍历速率。实验结果表明采用频率分割方案能提高多层异构网络中用户的平均上行遍历速率。
Due to the characteristics of random,flexible,and complex arrangement of nodes in multi-tier heterogeneous cellular network,intra-tier and inter-tier interference cannot be ignored,which becomes more complicated when analyzing the uplink network performance. So this paper considers the structure characteristic and the practical multi-channel environment of the multi-tier heterogeneous network,combines cell bias and frequency division scheme,based on stochastic geometry theory,the user of multi-tier heterogeneous cellular network uplink average ergodic rate is derived in multi-channel environment. Experimental results show that using the frequency division scheme can improve the average upstream ergodic speed of users in multi-tier heterogeneous network.
Due to the characteristics of random,flexible,and complex arrangement of nodes in multi-tier heterogeneous cellular network,intra-tier and inter-tier interference cannot be ignored,which becomes more complicated when analyzing the uplink network performance. So this paper considers the structure characteristic and the practical multi-channel environment of the multi-tier heterogeneous network,combines cell bias and frequency division scheme,based on stochastic geometry theory,the user of multi-tier heterogeneous cellular network uplink average ergodic rate is derived in multi-channel environment. Experimental results show that using the frequency division scheme can improve the average upstream ergodic speed of users in multi-tier heterogeneous network.
引文
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[2]贾向东,颉满刚,周猛.基于带内回程的全双工大规模MIMO异构网覆盖分析[J].计算机工程,2017,43(7):124-128.
[3]HOSSAIN E,RASTI M,TABASSUM H,et al.Evolution toward 5G multi-tier cellular wireless networks:an interference management perspective[J].IEEE Transactions on Wireless Communications,2014,21(3):118-127.
[4]ANDREWS J G.Seven ways that HetN ets are a cellular paradigm shift[J].IEEE Communications Magazine,2013,51(3):136-144.
[5]JO H S,SANG Y J,XIA Ping,et al.Heterogeneous cellular networks with flexible cell association:a comprehensive downlink SINR analysis[J].IEEE Transactions on Wireless Communications,2012,11(10):3484-3495.
[6]HAENGGI M.Stochastic geometry for wireless networks[M].Oxford,UK:Cambridge University Press,2012.
[7]ELSAWY H,SULTAN-SALEM A,ALOUINI M S,et al.Modeling and analysis of cellular networks using stochastic geometry:a tutorial[J].IEEE Communications Surveys Tutorials,2017,19(1):167-203.
[8]LIN Yicheng,YU Wei.Optimizing user association and frequency reuse for heterogeneous networks under stochastic model[C]//Proceedings of IEEE International Conference on Communications.Washington D.C.,USA:IEEE Press,2013:2045-2050.
[9]NOVLAN T D,GANTI R K,GHOSH A,et al.Analytical evaluation of fractional frequency reuse for heterogeneous cellular networks[J].IEEE Transactions on Communications,2012,60(7):2029-2039.
[10]SINGH S,ANDREWS J G.Joint resource partitioning and offloading in heterogeneous cellular networks[J].IEEE Transactions on Wireless Communications,2013,13(2):888-901.
[11]BAO Wei,LIANG Ben.Structured spectrum allocation and user association in heterogeneous cellular networks[C]//Proceedings of IEEE Conference on Computer Communications.Washington D.C.,USA:IEEE Press,2014:1069-1077.
[12]SADR S,ADVE R.Tier association probability and spectrum partitioning for maximum rate coverage in multitier heterogeneous networks[J].IEEE Com-munications Letter,2014,18(10):1791-1794.
[13]NOVLAN T D,DHILLON H S,ANDREWS J G.Analytical modeling of uplink cellular networks[J].IEEE Transactions on Wireless Communications,2013,12(6):2669-2679.
[14]ELSAWY H,HOSSAIN E.On stochastic geometry modeling of cellular uplink transmission with truncated channel inversion power control[J].IEEE Transactions on Wireless Communications,2014,13(8):4454-4469.
[15]HU Han,WANG Hong,ZHU Qi,et al.Uplink performance analysis in multi-tier heterogeneous cellular networks with power control and biased user association[J].China Communications,2016,13(12):25-36.
[16]SINGH S,ZHANG X,ANDREWS J G.Joint rate and SINR coverage analysis for decoupled uplink-downlink biased cell associations in HetN ets[J].IEEE Transactions on Wireless Communications,2015,14(10):5360-5373.
[17]ALAMMOURI A,ELSAWY H,ALOUINI M S.Loadaware modeling for uplink cellular networks in a multichannel environment[C]//Proceedings of the 25th IEEE Personal Indoor Mobile Radio Communication.Washington D.C.,USA:IEEE Press,2014:1591-1596.
[18]GOLDSMITH A.Wireless communications[M].Oxford,UK:Cambridge University Press,2005.
[19]TABASSSUM H,YILMAZ F,DAWY Z,et al.A statistical model of uplink inter-cell interference with slow and fast power control mechanisms[J].IEEE Transactions on Communications,2013,61(9):3953-3966.
[20]ELSAWY H,HOSSAIN E.On cognitive small cells in two-tier heterogeneous networks[C]//Proceedings of the9th Workshop on Spatial Stochastic Models for Wireless Networks.Tsukuba Science City,Japan:[s.n.],2013:75-82.
[21]GRADSHTEYN I S,RYZHIK I M.Table of integrals,series and products[M].San Diego,USA:[s.n.],2007.