Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/80216
Title: Joint link-and-user scheduling for buffer-aided relaying system with adaptive rate transmission
Authors: Luo, Sheng
Teh, Kah Chan
Keywords: Buffer storage
Optimal scheduling
Relays
Array signal processing
Joints
Scheduling
Tin
Issue Date: 2015
Source: Luo, S., & Teh, K. C. (2015). Joint link-and-user scheduling for buffer-aided relaying system with adaptive rate transmission. 2015 IEEE International Conference on Communications (ICC), 2203-2208.
Conference: 2015 IEEE International Conference on Communications (ICC)
Abstract: In this paper, we consider a relaying system which consists of a multiple-antenna source node (SN), M singleantenna destination nodes (DNs) and a multiple-antenna relay node (RN). The RN possesses a buffer and it is able to store the decoded message before retransmitting the message to the DNs. We use the joint link-and-user scheduling method to maximize the long term average achievable rate of a multiple-input multiple-output (MIMO) relaying system. The optimal scheduling criteria is obtained and a two-step approach is proposed to implement it. In addition, we propose a rate allocation scheme of the source-relay (S-R) link to preserve the flow conservation constraint of each individual user. Furthermore, two reduced complexity joint link-and-user scheduling methods which use the zero forcing (ZF) beamforming in the relay-destination (RD) link are investigated. It is shown that joint link-and-user scheduling can significantly increase the average achievable rate of the system.
URI: https://hdl.handle.net/10356/80216
http://hdl.handle.net/10220/40404
DOI: 10.1109/ICC.2015.7248652
Schools: School of Electrical and Electronic Engineering 
Rights: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/ICC.2015.7248652].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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