On the optimality of treating inter-cell interference as noise in uplink cellular networks
File(s)
Accepted version
Author(s)
Joudeh, Hamdi
Clerckx, Bruno
Type
Journal Article
Abstract
In this paper, we explore the information-theoretic optimality of treating interference as noise (TIN) in cellular networks. We focus on uplink scenarios modeled by the Gaussian interfering multiple access channel (IMAC), comprising K mutually interfering multiple access channels (MACs), each formed by an arbitrary number of transmitters communicating independent messages to one receiver. We define TIN for this setting as a scheme in which each MAC (or cell) performs a power-controlled version of its capacity-achieving strategy, with Gaussian codebooks and successive decoding, while treating interference from all other MACs (i.e. inter-cell interference) as noise. We characterize the generalized degrees-of-freedom (GDoF) region achieved through the proposed TIN scheme, and then identify conditions under which this achievable region is convex without the need for time-sharing. We then tighten these convexity conditions and identify a regime in which the proposed TIN scheme achieves the entire GDoF region of the IMAC and is within a constant gap of the entire capacity region.
Date Issued
2019-11-01
Date Acceptance
2019-04-23
Citation
IEEE Transactions on Information Theory, 2019, 65 (11), pp.7208-7232
ISSN
0018-9448
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Start Page
7208
End Page
7232
Journal / Book Title
IEEE Transactions on Information Theory
Volume
65
Issue
11
Copyright Statement
© 2019 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
Engineering & Physical Science Research Council (EPSRC)
Identifier
https://arxiv.org/abs/1809.03309
Grant Number
EP/N015312/1
Subjects
cs.IT
cs.IT
math.IT
Publication Status
Published
Date Publish Online
2019-04-26