Optimal transmission policy for energy-harvesting powered MIMO multi-access channels

Author

Wenming Li ; Zheng Nan ; Xin Wang ; Xiaolin Zhou

Author_Institution

Dept. of Commun. Sci. & Eng., Fudan Univ., Shanghai, China

fYear

2014

fDate

13-15 Oct. 2014

Firstpage

286

Lastpage

291

Abstract

This paper develops a novel approach to obtaining the optimal scheduling strategy in a multi-input multi-output (MIMO) multi-access channel (MAC), where each transmitter is powered by harvesting energy from the environmental sources. Relying on the convex optimization tools, the proposed approach provides a low-complexity iterative block coordinate ascent algorithm to obtain the optimal transmission policy that maximizes the weighted sum-throughput for MIMO MAC. The proposed approach provides optimal benchmarks for all practical schemes in energy-harvesting powered MIMO MAC transmissions.

Keywords

MIMO communication; convex programming; energy harvesting; iterative methods; multi-access systems; telecommunication power supplies; telecommunication scheduling; wireless channels; convex optimization tools; energy-harvesting powered MIMO MAC transmissions; energy-harvesting powered MIMO multiaccess channels; environmental sources; low-complexity iterative block coordinate ascent algorithm; multiinput multioutput channel; optimal scheduling strategy; optimal transmission policy; transmitter; weighted sum-throughput; Batteries; Energy harvesting; MIMO; Optimal scheduling; Resource management; Throughput; Transmitters; Energy harvesting; convex optimization; iteration; multi-access channel; power control;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications in China (ICCC), 2014 IEEE/CIC International Conference on

Conference_Location

Shanghai

Type

conf

DOI

10.1109/ICCChina.2014.7008288

Filename

7008288