Distributed Compression for MIMO Coordinated Networks with a Backhaul Constraint

被引:79
作者
del Coso, Aitor [1 ]
Silmoens, Sebastien [2 ]
机构
[1] CTTC, Castelldefels, Spain
[2] Motorola Labs Paris, St Aubin, France
关键词
MAC; multiple relay channel; decode-and-forward; INTERFERENCE; INFORMATION;
D O I
10.1109/TWC.2009.081148
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We consider the uplink of a backhaul-constrained, MIMO coordinated network. That is, a single-frequency network with N + 1 multi-antenna base stations (BSs) that cooperate in order to decode the users' data, and that are linked by means of a common lossless backhaul, of limited capacity R. To implement the receive cooperation, we propose distributed compression: N BSs, upon receiving their signals, compress them using a multi-source lossy compression code. Then, they send the compressed vectors to a central BS, which performs users' decoding. Distributed Wyner-Ziv coding is proposed to be used, and is designed in this work. The first part of the paper is devoted to a network with a unique multi-antenna user, that transmits a predefined Gaussian space-time codeword. For such a scenario, the "compression noise" covariance at the BSs is optimized, considering the user's achievable rate as the performance metric. In particular, for N = 1 the optimum covariance is derived in closed form, while for N > 1 an iterative algorithm is devised. The second part of the contribution focusses on the multi-user scenario. For it, the achievable rate region is obtained by means of the optimum "compression noise" covariances for sum-rate and weighted sum-rate, respectively.
引用
收藏
页码:4698 / 4709
页数:12
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