Matrix computations (3rd ed.)
Modulation scaling for Energy Aware Communication Systems
ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
SVD-QR-T FCM Approach for Virtual MIMO Channel Selection in Wireless Sensor Networks
WASA '07 Proceedings of the International Conference on Wireless Algorithms,Systems and Applications
Introduction to Space-Time Wireless Communications
Introduction to Space-Time Wireless Communications
IEEE Transactions on Communications
IEEE Transactions on Signal Processing
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
Optimal power allocation for relayed transmissions over Rayleigh-fading channels
IEEE Transactions on Wireless Communications
Virtual MIMO-based cooperative communication for energy-constrained wireless sensor networks
IEEE Transactions on Wireless Communications
Distributed space-time-coded protocols for exploiting cooperative diversity in wireless networks
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks
IEEE Journal on Selected Areas in Communications
A Robust Coded MIMO FH-CDMA Transceiver for Mobile Ad Hoc Networks
IEEE Journal on Selected Areas in Communications
An optimal PSO distributed precoding algorithm in QRD-based multi-relay system
Future Generation Computer Systems
A new distributed cooperative MIMO scheme for mobile ad hoc networks
Information Sciences: an International Journal
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In this paper, we investigate the issue of cooperative node selection in MIMO communications for wireless ad hoc/sensor networks, where a source node is surrounded by multiple neighbors and all of them are equipped with a single antenna. Given energy, delay and data rate constraints, a source node dynamically chooses its cooperating nodes from its neighbors to form a virtual MIMO system with the destination node (which is assumed to have multiple antennas), as well as adaptively allocates the power level and adjusts the constellation size for each of the selected cooperative nodes. In order to optimize system performance, we jointly consider the optimization of all these parameters, given the aforementioned system constraints. We assume that the source node either has CSI, or has no CSI. Heuristic algorithms, such as maximal channel gain (MCG) and least channel correlation (LCC) algorithms are proposed in order to exploit available system information and to solve the constrained optimization problem.