arrow
Return

A simple cooperative diversity method based on network path selection

delete2006-03-01
delete2.4K
delete
OA
AI
B
Bletsas, A
K
Khisti, A
R
Reed, DP
L
Lippman, A
DOI:10.1109/JSAC.2005.862417delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Cooperative diversity has been recently proposed as a way to form virtual antenna arrays that provide dramatic gains in slow fading wireless environments. However, most of the proposed solutions require distributed space-time coding algorithms, the careful design of which is left for future investigation if there is more than one cooperative relay. We propose a novel scheme that alleviates these problems and provides diversity gains on the order of the number of relays in the network. Our scheme first selects the best relay from a set of M available relays and then uses this best relay for cooperation between the source and the destination. We develop and analyze a distributed method to select the best relay that requires no topology information and is based on local measurements of the instantaneous channel conditions. This method also requires no explicit communication among the relays. The success (or failure) to select the best available path depends on the statistics of the wireless channel, and a methodology to evaluate performance for any kind of wireless channel statistics, is provided. Information theoretic analysis of outage probability shows that our scheme achieves the same diversity-multiplexing tradeoff as achieved by more complex protocols, where coordination and distributed space-time coding for M relay nodes is required, such as those proposed by Laneman and Wornell (2003). The simplicity of the technique allows for immediate implementation in existing radio hardware and its adoption could provide for improved flexibility, reliability, and efficiency in future 4G wireless systems.
Keywords:
coherence time
fading channel
network cooperative diversity
outage probability
wireless networks

Journal

IEEE Journal on Selected Areas in Communications cover
IEEE Journal on Selected Areas in Communications
IF:
17.2
Papers:
6.4K
Citations:
3.1W

Organization

No organization information available
Cited Papers

Cited Papers

Evaluating more naturalistic outcome measures
err2015-12-01
err0
errOAAI
errRiley Bove; Charles C. White; Gavin Giovannoni; Bonnie Glanz; Victor Golubchikov; Johnny Hujol; Charles Jennings; Dawn Langdon; Michelle Lee; Anna Legedza; James Paskavitz; Sashank Prasad; John Richert; Allison Robbins; Susan Roberts; Howard Weiner; Ravi Ramachandran; Martyn Botfield; Philip L. De Jager
errShare
errSave
errShare
errSave
Iron Oxides and Sulphides
err1971-01-01
err0
PREAI
errN. N. Greenwood; T. C. Gibb
errShare
errSave
Modulation of neuroglial interactions using differential target multiplexed spinal cord stimulation in an animal model of neuropathic pain
err2020-04-14
err0
errOAAI
errRicardo Vallejo; Courtney A Kelley; Ashim Gupta; William J Smith; Alejandro Vallejo; David L Cedeño
errShare
errSave
Functional range of motion of the joints of the hand
err1990-03-01
err0
PREAI
errMary C. Hume; Harris Gellman; Harry McKellop; Robert H. Brumfield
errShare
errSave
errShare
errSave
researcher View more