Optimal beamforming for two-way multi-antenna relay channel with analogue network coding
IEEE Journal on Selected Areas in Communications - Special issue on network coding for wireless communication networks
Fair-rate allocation in multiuser OFDM-SDMA networks
IEEE Transactions on Signal Processing
Joint beamforming and power control for multiantenna relay broadcast channel with QoS constraints
IEEE Transactions on Signal Processing
Low complexity margin adaptive resource allocation in downlink MIMO-OFDMA system
IEEE Transactions on Wireless Communications
On Gaussian MIMO BC-MAC duality with multiple transmit covariance constraints
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Dual optimal resource allocation for heterogeneous transmission in OFDMA systems
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
The gap approximation for Gaussian multiple access channels
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Optimal resource allocation in the OFDMA downlink with feedback of buffer state information
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
On capacity region of two-way multi-antenna relay channel with analogue network coding
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
IEEE Transactions on Communications
Low-complexity resource allocation and its application to distributed antenna systems
IEEE Wireless Communications
OFDMA capacity analysis in MIMO channels
IEEE Transactions on Information Theory
A complete description of the QoS feasibility region in the vector broadcast channel
IEEE Transactions on Signal Processing
Cooperative interference management with MISO beamforming
IEEE Transactions on Signal Processing
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In mobile wireless networks, dynamic allocation of resources such as transmit powers, bit-rates, and antenna beams based on the channel state information of mobile users is known to be the general strategy to explore the time-varying nature of the mobile environment. This paper looks at the problem of optimal resource allocation in wireless networks from different information-theoretic points of view and under the assumption that the channel state is completely known at the transmitter and the receiver. In particular, the fading multiple-access channel (MAC) and the fading broadcast channel (BC) with additive Gaussian noise and multiple transmit and receive antennas are focused. The fading MAC is considered first and a complete characterization of its capacity region and power region are provided under various power and rate constraints. The derived results can be considered as nontrivial extensions of the work done by Tse and Hanly from the case of single transmit and receive antenna to the more general scenario with multiple transmit and receive antennas. Efficient numerical algorithms are proposed, which demonstrate the usefulness of the convex optimization techniques in characterizing the capacity and power regions. Analogous results are also obtained for the fading BC thanks to the duality theory between the Gaussian MAC and the Gaussian BC