Traffic Aware Resource Allocation Schemes for Multi-Cell MIMO-OFDM Systems

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Title: Traffic Aware Resource Allocation Schemes for Multi-Cell MIMO-OFDM Systems
Authors: Venkatraman, GaneshTolli, AnttiJuntti, MarkkuTran, Le-Nam
Permanent link: http://hdl.handle.net/10197/12177
Date: 1-Jun-2016
Online since: 2021-05-19T15:50:08Z
Abstract: We consider a downlink multi-cell multiple-input multiple-output (MIMO) interference broadcast channel (IBC) using orthogonal frequency division multiplexing (OFDM) with multiple users contending for space-frequency resources in a given scheduling instant. The problem is to design precoders efficiently to minimize the number of backlogged packets queuing in the coordinating base stations (BSs). Conventionally, the queue weighted sum rate maximization (Q-WSRM) formulation with the number of backlogged packets as the corresponding weights is used to design the precoders. In contrast, we propose joint space-frequency resource allocation (JSFRA) formulation, in which the precoders are designed jointly across the space-frequency resources for all users by minimizing the total number of backlogged packets in each transmission instant, thereby performing user scheduling implicitly. Since the problem is nonconvex, we use the combination of successive convex approximation (SCA) and alternating optimization (AO) to handle nonconvex constraints in the JSFRA formulation. In the first method, we approximate the signal-to-interference-plus-noise ratio (SINR) by convex relaxations, while in the second approach, the equivalence between the SINR and the mean squared error (MSE) is exploited. We then discuss the distributed approaches for the centralized algorithms using primal decomposition and alternating directions method of multipliers. Finally, we propose a more practical iterative precoder design by solving the Karush-Kuhn-Tucker expressions for the MSE reformulation that requires minimal information exchange for each update. Numerical results are used to compare the proposed algorithms to the existing solutions.
Funding Details: European Commission - European Regional Development Fund
Science Foundation Ireland
Funding Details: Finnish Funding Agency for Innovation (Tekes)
Nokia Networks
Xilinx
Elektrobit
Riitta ja Jorma Takanen Foundation
Academy of Finland
Type of material: Journal Article
Publisher: IEEE
Journal: IEEE Transactions on Signal Processing
Volume: 64
Issue: 11
Start page: 2730
End page: 2745
Copyright (published version): 2016 IEEE
Keywords: MIMO-IBCMIMO-OFDMPrecoder designSCAWSRMNonconvex problemConvergence analysis
DOI: 10.1109/TSP.2016.2531633
Language: en
Status of Item: Peer reviewed
ISSN: 1053-587X
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Electrical and Electronic Engineering Research Collection

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