Increasing user throughput in cellular networks with interference alignment

Huacheng Zeng, Yi Shi, Y. Thomas Hou, Wenjing Lou, Xu Yuan, Rongbo Zhu, Jiannong Cao

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Recent advances in information theory (IT) have shown great promises of interference alignment (IA) for cellular networks. However, due to a number of assumptions, these IT results cannot be directly applied to address practical problems. The goal of this paper is to fill in this gap by studying IA for cellular networks with more practical settings. We propose an IA scheme that includes constraints at each user and each base station (BS) for the uplink communication of a cellular network. We prove the feasibility of the IA scheme by constructing the encoding and decoding vectors for each data stream so that it can be transported free of interference. Based on this IA scheme, we study an uplink user throughput maximization problem and show the throughput improvement of the IA scheme over two other schemes.
Original languageEnglish
Title of host publication2014 11th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2014
PublisherIEEE
Pages346-353
Number of pages8
ISBN (Electronic)9781479946570
DOIs
Publication statusPublished - 16 Dec 2014
Event2014 11th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2014 - Singapore, Singapore
Duration: 30 Jun 20143 Jul 2014

Conference

Conference2014 11th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2014
CountrySingapore
CitySingapore
Period30/06/143/07/14

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Computer Networks and Communications

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