Convex Optimization
Power allocation and distributed beamforming optimization in relay-assisted multiuser communications
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Distributed beamforming in multiuser multi-relay networks with guaranteed QoS
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Optimizations of a MIMO Relay Network
IEEE Transactions on Signal Processing - Part II
Linear precoding via conic optimization for fixed MIMO receivers
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Cooperative diversity in wireless networks: Efficient protocols and outage behavior
IEEE Transactions on Information Theory
A framework for uplink power control in cellular radio systems
IEEE Journal on Selected Areas in Communications
Distributed beamforming in multiuser multi-relay networks with guaranteed QoS
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Semi-analytic Performance of a Multiaccess MIMO Scheme Using Precoding Vectors
Wireless Personal Communications: An International Journal
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This paper studies optimal distributed beamforming designs to jointly maximize the signal-to-noise (SNR) margin in a multiuser multi-relay network. Considered are optimization problems with two different types of power constraints: sum relay power constraint and per-relay power constraints. Although these two problems can be readily solved by the bisection method via a sequence of second-order conic feasibility programs, we propose simple and fast converging iterative algorithms to directly solve the two optimization problems under consideration.