Cluster formation in cloud-radio access networks: Performance analysis and algorithms design
Cluster formation in cloud-radio access networks: Performance analysis and algorithms design
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DOI：
10.1109/icc.2015.7248933
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发表时间：
2015-06
期刊：
影响因子：
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通讯作者：
Zhongyuan Zhao;M. Peng;Z. Ding;Chonggang Wang;H. Poor
中科院分区：
文献类型：
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作者：
Zhongyuan Zhao;M. Peng;Z. Ding;Chonggang Wang;H. Poor
云无线接入网络（c - ran）面临的一个难题是如何平衡集群规模和协作收益。本文研究了c - ran下行传输的簇形成问题。特别地，在固定的簇内合作策略下，应用随机几何导出了成功访问概率的显式表达式。将得到的理论结果作为效用函数，将远程无线机头分组问题表示为一个联合编队博弈问题，然后分别针对有簇大小约束和没有簇大小约束的情况，给出了基于合并和分裂方法的两种分布式算法的有效解。仿真结果表明，与集中式大簇形成方法相比，该方法可以在较小的簇设置下获得更好的性能。
A dilemma in cloud-radio access networks (C-RANs) is to balance the cluster scale and the cooperative gains. In this paper, cluster formation for downlink transmissions in C-RANs is studied. In particular, with a fixed intro-cluster cooperation strategy, an explicit expression for the successful access probability is derived by applying stochastic geometry. By using the obtained theoretical result as a utility function, the problem of grouping remote radio heads is formulated as a coalitional formation game, and then two distributed algorithms based on the merge and split approach are obtained as efficient solutions for the cases with and without cluster size constraints, respectively. Compared with grand cluster formation, which is a centralized method, simulation results show that the proposed approaches can achieve better performance with smaller cluster settings.