Elements of information theory
Elements of information theory
Matrix computations (3rd ed.)
On the study of network coding with diversity
IEEE Transactions on Wireless Communications
On the Diversity-Multiplexing Tradeoff for Wireless Cooperative Multiple Access Systems
IEEE Transactions on Signal Processing
Selection Cooperation in Multi-Source Cooperative Networks
IEEE Transactions on Wireless Communications
Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels
IEEE Transactions on Information Theory
Diversity-multiplexing tradeoff in multiple-access channels
IEEE Transactions on Information Theory
Cooperative diversity in wireless networks: Efficient protocols and outage behavior
IEEE Transactions on Information Theory
Quadratic forms on complex random matrices and multiple-antenna systems
IEEE Transactions on Information Theory
On the achievable diversity-multiplexing tradeoff in half-duplex cooperative channels
IEEE Transactions on Information Theory
Towards the Optimal Amplify-and-Forward Cooperative Diversity Scheme
IEEE Transactions on Information Theory
Rate Regions for Relay Broadcast Channels
IEEE Transactions on Information Theory
Multiple-Antenna Cooperative Wireless Systems: A Diversity–Multiplexing Tradeoff Perspective
IEEE Transactions on Information Theory
A Case for Amplify–Forward Relaying in the Block-Fading Multiple-Access Channel
IEEE Transactions on Information Theory
Fading relay channels: performance limits and space-time signal design
IEEE Journal on Selected Areas in Communications
A simple Cooperative diversity method based on network path selection
IEEE Journal on Selected Areas in Communications
Application of joint source-relay scheduling to cooperative multiple access channels
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
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In this paper, we propose a spectrally efficient cooperative transmission protocol for multiple access scenarios. The key feature is to utilize multi-user diversity and fully exploit the dynamic nature of radio propagation. In particular, by carefully scheduling the multiple sources and relays' transmissions, a source with a poor connection to the destination can have higher priority to obtain help from a relay with better channel condition. As a result, the full diversity gain is achievable even though only a fraction of relays is scheduled to help each user. We developed an achievable diversity-multiplexing tradeoff for the proposed transmission protocol to assist performance evaluation. When the number of relays is large, the diversity-multiplexing tradeoff achieved by the proposed scheme can approximate the optimal multiple-input single-output upper bound. Both analytical and numerical results show that the proposed protocol outperform other comparable schemes in most conditions.