Efficient MMSE design for joint MIMO processing in analog network coding schemes

Enoch Lu, Yiran Xu, I. Tai Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A new generalized iterative approach (GIA) is proposed for jointly designing the precoders, relay processors and decoders for analog Network Coding schemes. The considered criterion is minimum mean square error (MMSE). The proposed approach is the same as our previously developed GIA except that it uses single user multiple-input multiple-output (MIMO) closed-form solutions for the precoders. This change reduces the number of design variables by two since the precoding Lagrange multipliers are no longer needed. The proposed approach is compared with our previously developed GIA design in terms of convergence rate, BER and MSE. Numerical results show that both GIA's achieve similar MSE and BER performances and that the proposed GIA may provide faster convergence speeds.

Original languageEnglish (US)
Title of host publication2012 International Conference on Computing, Networking and Communications, ICNC'12
Pages267-271
Number of pages5
DOIs
StatePublished - 2012
Event2012 International Conference on Computing, Networking and Communications, ICNC'12 - Maui, HI, United States
Duration: Jan 30 2012Feb 2 2012

Publication series

Name2012 International Conference on Computing, Networking and Communications, ICNC'12

Other

Other2012 International Conference on Computing, Networking and Communications, ICNC'12
Country/TerritoryUnited States
CityMaui, HI
Period1/30/122/2/12

Keywords

  • Analog Network Coding
  • Closed-form solution
  • Generalized Iterative Approach
  • Joint MMSE design
  • MIMO
  • two-way relaying

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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