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Thampi, A, Armour, S, Fan, Z and Kaleshi, D (2016) Mitigating inter-cluster interference on the uplink for a three-cell clustered cooperative network. Eurasip Journal on Wireless Communications and Networking, 2016 (1). ISSN 1687-1499
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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.
Item Type: | Article |
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Additional Information: | © Thampi et al. 2016 |
Uncontrolled 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 |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Natural Sciences > School of Computing and Mathematics |
Related URLs: | |
Depositing User: | Symplectic |
Date Deposited: | 11 May 2018 07:57 |
Last Modified: | 10 Feb 2021 16:09 |
URI: | https://eprints.keele.ac.uk/id/eprint/4878 |