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Achievable DoF regions of MIMO networks with imperfect CSIT
File | Description | Size | Format | |
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MIMODoF.pdf | Accepted version | 6.41 MB | Adobe PDF | View/Open |
Title: | Achievable DoF regions of MIMO networks with imperfect CSIT |
Authors: | Hao, C Rassoul, B Clerckx, B |
Item Type: | Journal Article |
Abstract: | We focus on a two-receiver Multiple-Input-Multiple- Output (MIMO) Broadcast Channel (BC) and Interference Channel (IC) with an arbitrary number of antennas at each node. We assume an imperfect knowledge of local Channel State Information at the Transmitters, whose error decays with the Signal-to-Noise-Ratio. With such configuration, we characterize the achievable Degrees-of-Freedom (DoF) regions in both BC and IC, by proposing a Rate-Splitting (RS) approach, which divides each receiver’s message into a common part and a private part. Compared to the RS scheme designed for the symmetric MIMO case, the novelties of the proposed block lie in 1) delivering additional non-ZF-precoded private symbols to the receiver with the greater number of antennas, and 2) a Space-Time implemen- tation. These features provide more flexibilities in balancing the common-message-decodabilities at the two receivers, and fully exploit asymmetric antenna arrays. Besides, in IC, we modify the power allocation designed for the asymmetric BC based on the signal space where the two transmitted signals interfere with each other. We also derive an outer-bound for the DoF regions and show that the proposed achievable DoF regions are optimal under some antenna configurations and CSIT qualities. |
Issue Date: | 1-Oct-2017 |
Date of Acceptance: | 22-May-2017 |
URI: | http://hdl.handle.net/10044/1/48653 |
DOI: | https://dx.doi.org/10.1109/TIT.2017.2735422 |
ISSN: | 1557-9654 |
Publisher: | IEEE |
Journal / Book Title: | IEEE Transactions on Information Theory |
Volume: | 63 |
Issue: | 10 |
Copyright Statement: | © 2017 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. |
Sponsor/Funder: | Commission of the European Communities Engineering & Physical Science Research Council (EPSRC) |
Funder's Grant Number: | 318489 HARP EP/N015312/1 |
Keywords: | cs.IT math.IT 0801 Artificial Intelligence And Image Processing 0906 Electrical And Electronic Engineering 1005 Communications Technologies |
Publication Status: | Published |
Appears in Collections: | Electrical and Electronic Engineering Faculty of Engineering |