A Dynamic Clustering and Resource Allocation Algorithm for Downlink CoMP Systems with Multiple Antenna UEs

作者: Paolo Baracca , Federico Boccardi , Nevio Benvenuto

DOI: 10.1186/1687-1499-2014-125

关键词:

摘要: AbstractCoordinated multi-point (CoMP) schemes have been widely studied in the recent years to tacklethe inter-cell interference. In practice, latency and throughput constraints on backhaul allow theorganizationof only small clusters of base stations (BSs) where joint processing (JP) can be implemented.In this work we focus downlink CoMP-JP with multiple antenna user equipments (UEs) proposea novel dynamic clustering algorithm. The additional degrees freedom at UE used tosuppress residual interference by using an rejection combiner (IRC) a multi-stream transmission. our proposal first define set ca ndidate depending long-termchannel conditions. Then, each time block, develop resource allocation scheme jointlyoptimizing transmitter receiver where: a) within candidate cluster weighted sum rate isestimated then b) is scheduled order maximize system sumrate. Numerical results show that much higher rates are achieved when UEs equipped multipleantennas. Moreover, as performance improvement mainly due IRC, gain bythe proposed approach respect non-cooperative decreases increasing numberof antennas.Index TermsResource management, MIMO systems, Cellular technology.

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