Opportunistic cooperation with receiver-based ratio combining strategy

Qian Wang, Kui Ren, Yanchao Zhang, Bo Zhu

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

1 Scopus citations


In cooperative wireless communication systems, many combining techniques could be employed at the receiver, such as maximal ratio combining (MRC), equal gain combining (EGC), etc. To address the effect of receiver diversity combining on optimum energy allocation, we analyze the problem of minimizing average total transmit energy under a SNR constraint when different ratio combining methods are utilized at destination. For maximal ratio combining (MRC), based on the explicit analytical solution an asymptotic solution for normalized optimum total energy in terms of μ and η was derived in the high-SNR scenario. For fixed ratio combining (FRC), we find that there does not exist an explicit analytical solution to the optimum energy allocation problem. However, the convexity proof for the energy function provides a way of using numerical convex optimization methods to find the unique solution. Our results also show that, while direct transmission (r* = 0) is optimum for certain channel states when the destination uses MRC, the relay should always transmit, i.e. r* > for all channel states, when the combining ratio β is a fixed number.

Original languageEnglish (US)
Title of host publicationWireless Algorithms, Systems, and Applications - Third International Conference, WASA 2008, Proceedings
PublisherSpringer Verlag
Number of pages12
ISBN (Print)3540885811, 9783540885818
StatePublished - 2008
Externally publishedYes
Event3rd International Conference on Wireless Algorithms, Systems, and Applications, WASA 2008 - Dallas, TX, United States
Duration: Oct 26 2008Oct 28 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5258 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other3rd International Conference on Wireless Algorithms, Systems, and Applications, WASA 2008
Country/TerritoryUnited States
CityDallas, TX

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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