JOURNAL ARTICLE

Power control for fading multiple access channels with user cooperation

Abstract

Abstract — For a fading Gaussian multiple access channel with user cooperation, we obtain the optimal power allocation policies that maximize the rates achievable by block Markov superposition coding. The optimal policies result in a coding scheme that is simpler than the one for a general multiple access channel with generalized feedback. This simpler coding scheme also leads to the possibility of formulating an otherwise non-concave optimization problem as a concave one. Using the channel state information at the transmitters to adapt the powers, we demonstrate significant gains over the achievable rates for existing cooperative systems. I.

Keywords:
Fading Channel state information Computer science Channel (broadcasting) Power control Dirty paper coding Coding (social sciences) Gaussian Markov process Block (permutation group theory) Mathematical optimization Markov chain Computer network Power (physics) Telecommunications Mathematics Precoding MIMO Wireless

Metrics

16
Cited By
2.12
FWCI (Field Weighted Citation Impact)
17
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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