Cell-Free Massive MIMO with Limited Backhaul

被引：0

作者：

Bashar, Manijeh ^{[1
]}

Cumanan, Kanapathippillai ^{[1
]}

Burr, Alister G. ^{[1
]}

Hien Quoc Ngo ^{[2
]}

Debbah, Merouane ^{[3
]}

机构：

[1] Univ York, Dept Elect Engn, York, N Yorkshire, England

[2] Queens Univ Belfast, Sch Elect Elect Engn & Comp Sci, Belfast, Antrim, North Ireland

[3] Univ Paris Saclay, Large Networks & Syst Grp, Cent Supelec, St Aubin, France

来源：

2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC) | 2018年

基金：

欧盟地平线“2020”;

关键词：

Cell-free Massive MIMO; geometric programming; generalized eigenvalue problem; limited backhaul;

D O I：

暂无

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 a cell-free Massive multiple-input multiple-output (MIMO) system and investigate the system performance for the case when the quantized version of the estimated channel and the quantized received signal are available at the central processing unit (CPU), and the case when only the quantized version of the combined signal with maximum ratio combining (MRC) detector is available at the CPU. Next, we study the max-min optimization problem, where the minimum user uplink rate is maximized with backhaul capacity constraints. To deal with the max-min non-convex problem, we propose to decompose the original problem into two sub-problems. Based on these sub-problems, we develop an iterative scheme which solves the original max-min user uplink rate. Moreover, we present a user assignment algorithm to further improve the performance of cell-free Massive MIMO with limited backhaul links.

引用

页数：7

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