Reliable amplify-and-forward two-way relay networks (Invited Paper)

Hien Quoc Ngo, Tony Q.S. Quek, Hyundong Shin

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

Abstract

In a two-way relay network, two terminals exchange information with the help of a relay. Due to its fundamental and practical importance, there has been an increasing interest in this channel. Recently, the notation of bottleneck error exponent has been introduced which is the worst exponent decay between the two links, gives us insight into the fundamental tradeoff between the rate pair and the information-exchange reliability of the two terminals. For its applications to the design of reliable twoway relay networks, we present two optimal resource allocations to maximize the bottleneck error exponent: i) the optimal rate allocation under a sum-rate constraint and its closed-form quasioptimal solution that requires only the knowledge of the capacity and cutoff rate of each link; and ii) the optimal power allocation under a total power constraint of two terminals in the presence of global channel state information, which can be efficiently determined via a sequence of convex feasibility problems in the form of second-order cone programs. Numerical results verify the effectiveness of the optimal rate and power allocations in maximizing the bottleneck error exponent.

Original languageEnglish
Title of host publication2009 International Conference on Wireless Communications and Signal Processing, WCSP 2009
DOIs
Publication statusPublished - 2009
Event2009 International Conference on Wireless Communications and Signal Processing, WCSP 2009 - Nanjing, China
Duration: 2009 Nov 132009 Nov 15

Publication series

Name2009 International Conference on Wireless Communications and Signal Processing, WCSP 2009

Conference

Conference2009 International Conference on Wireless Communications and Signal Processing, WCSP 2009
CountryChina
CityNanjing
Period09-11-1309-11-15

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing

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