A Novel Dynamic Clustering Scheme for Base Station Cooperation Systems Based on Affinity Propagation
Base Station (BS) cooperation is considered as a promising technology to mitigate inter-cell interference for cellular networks. However, the system overhead including channel state information (CSI) feedback and inter-BS signaling for large-scale BS cooperation is not applicable to the realistic systems. Therefore, cluster-based BS cooperation is proposed and regarded as a good tradeoff between the performance gain and the relevant cost. Previous work has shown that the dynamic cooperation clustering scheme performed much better than the static clustering mechanism. In this work, we investigate a dynamic clustering approach based on the affinity propagation algorithm, where the BSs are grouped into cooperative clusters with partial CSI. Different from the conventional clustering scheme, the AP-based clustering scheme can adaptively group the whole network into clusters with dynamic size. Simulations show that our scheme can offer significant sum-rate capacity gain over the static clustering scheme. Moreover, the complexity is greatly reduced compared with other existing greedy approaches while almost the same capacity gain is obtained. The proposed framework is well suited for implementation in largescale cellular networks.
dynamic clustering approach multicell cooperative processing signaling overhead cellular network complexity
Liqing Zheng Kaizhi Huang Yunzhou Li
National Digital Switching System Engineering & Technological Research Center ZhengZhou 450002, Hena Tsinghua National Laboratory for Information Science and Technology Tsinghua University, Beijing 100
国际会议
太原
英文
585-590
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）