Mitigating inter-cluster interference on the uplink for a three-cell clustered cooperative network

Fan

Abstract

In this paper, we propose a practical and scalable solution to mitigating interference on the uplink through static clustering and adaptive fractional frequency reuse (CFFR). The focus is on a three-cell clustered network due to its low complexity. Moreover, we have previously shown that a performance comparable to that of global coordination is achievable using a cluster size of three. In this paper, for a clustered planar Wyner network, we derive analytical capacity equations for zero forcing (ZF) and linear minimum mean squared error (LMMSE)-based receivers. The theoretical results show that inter-cluster interference is the major performance bottleneck and that the smallest interference from the neighbouring clusters is sufficient to significantly lower the system performance. We then switch our study to a more realistic network setting and augment our CFFR technique by adopting an entirely distributed architecture and by implementing a location classification algorithm based on logistic regression. We then show through simulations that CFFR performs significantly better than the widely studied dynamic clustering (DC) technique. Since the inter-cluster interference intensity of CFFR is much lower than DC, the per-cell sum rate performance is 1.5 × better, especially at high loads. We also show that the CFFR algorithm is a lot less complex than DC in terms of running time.

Citation

Fan. (2016). Mitigating inter-cluster interference on the uplink for a three-cell clustered cooperative network. EURASIP Journal on Wireless Communications and Networking, https://doi.org/10.1186/s13638-016-0610-8

• Acceptance Date: Apr 7, 2016
• Publication Date: Apr 23, 2016
• Journal: Eurasip Journal on Wireless Communications and Networking
• Print ISSN: 1687-1472
• Publisher: Springer Verlag
• DOI: https://doi.org/10.1186/s13638-016-0610-8
• Keywords: Network MIMO, Clustered network MIMO, Multi-cell processing, MCP, Joint processing, JP, Base station cooperation, BSC, Fractional frequency reuse, FFR, LTE-A, ZF, LMMSE, Clustering, Cooperation
• Publisher URL: https://doi.org/10.1186/s13638-016-0610-8