Large System Analysis of Base Station Cooperation for Power Minimization

被引:19
作者
Sanguinetti, Luca [1 ,2 ]
Couillet, Romain [3 ]
Debbah, Merouane [2 ,4 ]
机构
[1] Univ Pisa, Dipartimento Ingn Informaz, I-56126 Pisa, Italy
[2] Univ Paris Saclay, CentraleSupelec, Large Syst & Networks Grp, F-91192 Gif Sur Yvette, France
[3] CentraleSupelec, Telecommun Dept, F-91192 Gif Sur Yvette, France
[4] Huawei Technol Co Ltd, Math & Algorithm Sci Lab, F-92569 Boulogne, France
基金
欧洲研究理事会;
关键词
Base station cooperation; cellular systems; power minimization; large system analysis; linear precoding; multicell processing; MASSIVE MIMO; WIRELESS; INTERFERENCE; NETWORKS; OPTIMIZATION; ANTENNAS;
D O I
10.1109/TWC.2016.2560178
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
This paper focuses on a large-scale multi-cell multi-user MIMO system in which L base stations (BSs) of N antennas each communicate with K single-antenna user equipments. We consider the design of the linear precoder that minimizes the total power consumption while ensuring target user rates. Three configurations with different degrees of cooperation among BSs are considered: the coordinated beamforming scheme (only channel state information is shared among BSs), the coordinated multipoint MIMO processing technology or network MIMO (channel state and data cooperation), and a singlecell beamforming scheme (only local channel state information is used for beamforming, while channel state cooperation is needed for power allocation). The analysis is conducted assuming that N and K grow large with a non trivial ratio K/N, and imperfect channel state information (modeled by the generic Gauss-Markov formulation form) is available at the BSs. Tools of random matrix theory are used to compute, in explicit form, deterministic approximations for: i) the parameters of the optimal precoder; ii) the powers needed to ensure target rates; and iii) the total transmit power. These results are instrumental to get further insight into the structure of the optimal precoders and also to reduce the implementation complexity in large-scale networks. Numerical results are used to validate the asymptotic analysis in the finite system regime and to make comparisons among the different configurations.
引用
收藏
页码:5480 / 5496
页数:17
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