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基于随机几何的大规模MIMO中继异构网络性能分析 被引量:3

Performance analysis for larege-scale heterogeneous cellular networks with massive MIMO relays based on stochastic geometry
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摘要 采用随机几何理论,对大规模多输入多输出MIMO中继异构蜂窝网络HetNets的频谱效率进行了研究。其中基站采用最大比结合/最大比传输以及迫零预处理方案和放大转发AF协议,宏小区被稠密的小小区所覆盖。为了得到目标小区总的频谱效率SE,首先计算了用户对的信干比SINR和功率放大因子表达式;其次获得了目标小区总的频谱效率的闭式解。研究发现,只有当小小区半径小于宏小区保护半径时,系统才能达到最优(或次优)的性能。而对于宏小区的保护半径则存在上界,即仅当满足此条件时,增大宏小区的保护半径才有助于提高系统的SE。此外,宏小区半径存在最优的下限,且仅当宏小区半径小于最优下限时,系统所实现的总的SE随着宏小区半径的增大而增大。 By using stochastic geometry theorem,we investigate the spectral efficiency(SE)of largescale heterogeneous cellular networks(HetNets)with massive MIMO relays,where the maximum ratio combining/maximal ratio transmission,zero-forcing processing scheme as well as amplify-and-forward are employed at base stations and the macro cells are overlaid with dense small cells.To obtain the aggregate SE in target cell,we first formulate the signal-to-interference noise ratios(SINR)for a user pair as well as the expression of power amplification factor.We then achieve the closed-form expressions of aggregate SE.We find that when the radius of small cells is less than the guard radius we can acquire optimal(or suboptimal)system performance.For the guard radius,there is an upper bound,only under which the increase of the guard radius can contribute to the improvement of SE.Meanwhile,the radius of small cells has an optimal lower bound and only when the radius of macro cells is less than the optimal lower bound,the aggregate SE increases with the macro cell radius.
作者 周猛 贾向东 颉满刚 ZHOU Meng;JIA Xiang-dong;XIE Man-gang(College of Computer Science and Engineering,Northwest Normal University,Lanzhou 730070;Wireless Communication Key Laboratory of Jiangsu Province,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)
出处 《计算机工程与科学》 CSCD 北大核心 2018年第6期1037-1045,共9页 Computer Engineering & Science
基金 国家自然科学基金(61261015 61561043) 甘肃省杰出青年基金项目(130RJDA007) 西北师范大学创新能力提升计划(CX2018Y043)
关键词 异构网络 放大转发 大规模MIMO 中继 随机几何 heterogeneous network amplify and forward massive MIMO relay stochastic geometry
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