Matrix computations (3rd ed.)
Wireless mesh networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Multinode Cooperative Communications in Wireless Networks
IEEE Transactions on Signal Processing
Emerging standards for wireless mesh technology
IEEE Wireless Communications
On the performance of distributed space-time coding systems with one and two non-regenerative relays
IEEE Transactions on Wireless Communications
Distributed Space-Time Coding in Wireless Relay Networks
IEEE Transactions on Wireless Communications
Cooperative relaying in multi-antenna fixed relay networks
IEEE Transactions on Wireless Communications
MIMO Configurations for Relay Channels: Theory and Practice
IEEE Transactions on Wireless Communications
Semi-Distributed User Relaying Algorithm for Amplify-and-Forward Wireless Relay Networks
IEEE Transactions on Wireless Communications
Cooperative diversity in wireless networks: Efficient protocols and outage behavior
IEEE Transactions on Information Theory
On the achievable diversity-multiplexing tradeoff in half-duplex cooperative channels
IEEE Transactions on Information Theory
Broadband wireless access with WiMax/802.16: current performance benchmarks and future potential
IEEE Communications Magazine
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
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
Finite-SNR diversity-multiplexing tradeoffs in fading relay channels
IEEE Journal on Selected Areas in Communications
Hi-index | 0.00 |
Distributed space-time coding (DSTC) cooperation for wireless relay network has been widely analyzed. In this paper, we first investigate an uplink DSTC cooperative system based on amplify-and-forward (AF) cooperation protocol with multiple antennas deployed at the destination while source and relay nodes have only one antenna each. Then, by exploiting partial channel state information from the source to relay nodes, we propose a phase compensation algorithm which can achieve linear detection at the receiver. Furthermore, the complexity analysis is provided to compare with nolinear optimal ML detection. Finally, computer simulations are carried out to evaluate the validity of the proposed approach. The results show that the phase compensation algorithm can approximately achieve the same performance with nolinear ML algorithm. On the other hand, it can significantly simply the heavy complexity of the optimal ML detection into simple linear detection with very low complexity. With near optimal performance and low complexity, the proposed algorithm is particularly suitable for the practical scenarios.