Optimized time splitting to maximize rate in an interference alignment based network

Rugui Yao, Lukun Yao, Xiaoya Zuo, Yuxin Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, considering an interference alignment (IA) based network, a time splitting scheme for transmitting training and data symbols is optimized. The time allocated to transmit training symbols will affect the precision of channel estimation (CE) and thus the achievable rate as well as the duration for data symbol transmission. With the least square (LS) CE algorithm, the lower bound of achievable rate is carefully derived. Then we formulate an optimization problem to maximize the lower bound of achievable rate by optimizing the time splitting factor (TSF). The existence of optimum is first proven. Then, regarding the complexity of solution, Taylor expansion is adopted to find the approximated optimal TSF. Numerical results are presented to validate the correctness and efficiency of the proposed scheme.

Original languageEnglish
Title of host publication2018 IEEE/CIC International Conference on Communications in China, ICCC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages778-782
Number of pages5
ISBN (Electronic)9781538670057
DOIs
StatePublished - 2 Jul 2018
Event2018 IEEE/CIC International Conference on Communications in China, ICCC 2018 - Beijing, China
Duration: 16 Aug 201818 Aug 2018

Publication series

Name2018 IEEE/CIC International Conference on Communications in China, ICCC 2018

Conference

Conference2018 IEEE/CIC International Conference on Communications in China, ICCC 2018
Country/TerritoryChina
CityBeijing
Period16/08/1818/08/18

Keywords

  • interference alignment
  • lower bound
  • Taylor expansion
  • Time splitting

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