Outage Probability and Ergodic Capacity Analysis for Two-Way Relaying System with Different Relay Selection Protocols

  • Authors:
  • Hui Zhi;Longxiang Yang;Hongbo Zhu

  • Affiliations:
  • Jiangsu Key Lab of Wireless Communication, Nanjing University of Posts and Telecommunications, Nanjing, China 210003 and Key Lab of Broadband Wireless Communications and Sensor Network Technology ...;Jiangsu Key Lab of Wireless Communication, Nanjing University of Posts and Telecommunications, Nanjing, China 210003 and Key Lab of Broadband Wireless Communications and Sensor Network Technology ...;Jiangsu Key Lab of Wireless Communication, Nanjing University of Posts and Telecommunications, Nanjing, China 210003 and Key Lab of Broadband Wireless Communications and Sensor Network Technology ...

  • Venue:
  • Wireless Personal Communications: An International Journal
  • Year:
  • 2013

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Abstract

The outage probability and ergodic capacity analysis for decode-and-forward two-way relaying system is investigated in this paper. First, the exact expressions (or bounds) of outage probability, ergodic capacity and average bidirectional ergodic capacity (ABEC) for max---min relay selection, random relay selection and direct transmission protocols are derived through theoretic analysis, and performance comparisons among different relay selection protocols are developed. Then a novel maximum average bidirectional mutual information (MABM) relay selection protocol is proposed and analyzed. Simulation results demonstrate that the derived analytical results fit well with Monte-Carlo simulations. The proposed MABM protocol can always achieve larger ABEC than other protocols while keeping low outage probability, and the MABM and max---min protocols in this paper can always achieve better performance than the max---min selection and max-sum selection in Krikidis (IEEE Trans Veh Technol 59(9):4620---4628, 2010). In addition, outage probability, ergodic capacity and ABEC performance of the proposed protocol become worse while distance becomes larger.