Title: Jointly optimal resource allocation for MIMO-OFDMA relaying system using tensor decomposition

Authors: Qiang Wang; Hai-Lin Liu; Jiongcheng Li

Addresses: Guangdong University of Technology, Guangzhou, Guangdong, China ' Guangdong University of Technology, Guangzhou, Guangdong, China ' Guangzhou Guangdong Planning and Designing Institute of Telecommunications Co., Ltd., Huajing Road 1, Zhongshan Avenue, Guangzhou, China

Abstract: In this paper, we consider the resource allocation problem for multiple-input-multiple-output (MIMO) orthogonal frequency-division multiple-access (OFDMA) relaying system. We jointly optimise the subcarrier pairing, channel-user assignment, relay selection, transmission mode selection as well as power allocation to maximise the throughput for MIMO OFDMA relaying system. The joint optimisation problem is formulated as a mixed-integer programming problem which is difficult to tackle since there is a fourth-order tensor in the problem. On the basis of Lagrange dual method, we propose an optimal algorithm using tensor decomposition. Moreover, we prove that the proposed algorithm can preserve strong Lagrangian duality. Simulation results show the proposed algorithm can significantly improve the system throughput.

Keywords: relay-assisted system; MIMO; OFDMA; resource allocation; tensor decomposition.

DOI: 10.1504/IJCAT.2017.086554

International Journal of Computer Applications in Technology, 2017 Vol.56 No.1, pp.45 - 57

Received: 27 Apr 2016
Accepted: 19 Sep 2016

Published online: 29 Aug 2017 *

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