Elements of information theory
Elements of information theory
Fundamentals of wireless communication
Fundamentals of wireless communication
On the Gaussian MIMO relay channel with full channel state information
IEEE Transactions on Signal Processing
Distributed MIMO receiver: achievable rates and upper bounds
IEEE Transactions on Information Theory
Capacity bounds and power allocation for wireless relay channels
IEEE Transactions on Information Theory
Cooperative Strategies and Capacity Theorems for Relay Networks
IEEE Transactions on Information Theory
Bounds on capacity and minimum energy-per-bit for AWGN relay channels
IEEE Transactions on Information Theory
The Distributed Karhunen–Loève Transform
IEEE Transactions on Information Theory
Multiple-Antenna Cooperative Wireless Systems: A Diversity–Multiplexing Tradeoff Perspective
IEEE Transactions on Information Theory
Communication Via Decentralized Processing
IEEE Transactions on Information Theory
Cooperative communication in wireless networks
IEEE Communications Magazine
Spectral efficient protocols for half-duplex fading relay channels
IEEE Journal on Selected Areas in Communications
A Low-Complexity Hybrid Framework for Combining-Type Non-regenerative MIMO Relaying
Wireless Personal Communications: An International Journal
| Hi-index | 35.68 |
This paper addresses cooperative time division duplex (TDD) relaying in the multiple-antenna case with full channel state information (CSI), i.e., assuming perfect knowledge of all channels. The main focus of the paper is on the compress-and-forward (CF) strategy, for which an achievable rate on the GaussianMIMO relay channel can be derived by applying distributed vector compression techniques. The processing at the CF relay consists in a conditional Karhunen-Loève transform (CKLT) followed by a separate Wyner-Ziv (WZ) coding of each output stream at a different rate. The paper provides a simple analytical expression for the optimum WZ coding rates, and also proposes an iterative procedure to perform this optimization jointly with that of the transmit covariance matrices at the source and relay. The multiple access channel (MAC) formed by the source and relay transmitting simultaneously to the destination is considered, and it is shown that an optimal decoding order exists at least in the single-antenna case. We discuss the extension to MIMO-OFDM, as well as practical source coding implementation. The CF achievable rates are benchmarked with other upper and lower bounds on capacity. Simulation results show that CF can outperform decode-and-forward (DF) and approach capacity for realistic SNR values, which validates the performance of the proposed optimization procedure.