Effect of noise imbalance on dual-MRC over rayleigh fading channels

Young Chai Ko, Tao Luo

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

The performance analysis of dual (two-branch) maximal ratio combining (MRC) under imperfect weight, named imperfect MRC, due to the noise imbalance is derived over independent but non-identical Rayleigh fading channels. Considering the system (or channel) conditions that the noise level of each branch is different, we present the accurate performance analysis of imperfect dual MRC in terms of average combined signal-to-noise ratio (SNR), outage probability and average symbol error rate for a large class of modulations in closed-form and compare them with the performance of the perfect MRC and the perfect selection combining (SC) over non-identical but independent Rayleigh fading channels based on the interesting statistical results on the combined SNR. From the performance results we provide the criterion in choosing the imperfect MRC, perfect MRC, or SC depending on the degree of the difference of the noise level between branches.

Original languageEnglish
Pages (from-to)514-518
Number of pages5
JournalIEEE Transactions on Wireless Communications
Volume5
Issue number2
DOIs
Publication statusPublished - 2006 Mar

Bibliographical note

Funding Information:
Manuscript received April 24, 2004; revised December 12, 2004, May 20, 2005, and May 25, 2005; accepted June 29, 2005. The associate editor coordinating the review of this letter and approving it for publication was L. Vandendorpe. This research was supported by the Ministry of Information and Communication (MIC), Korea under the Information Technology Research Center (ITRC) support program supervised by the Institute of Information Technology Assessment (IITA).

Keywords

  • Channel estimation
  • Maximal ratio combining
  • Rayleigh fading channels
  • Selection combining

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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