Elements of information theory
Elements of information theory
Matrix analysis and applied linear algebra
Matrix analysis and applied linear algebra
Convex Optimization
Optimum linear joint transmit-receive processing for MIMO channels with QoS constraints
IEEE Transactions on Signal Processing
High-SNR Analytical Performance of Spatial Multiplexing MIMO Systems With CSI
IEEE Transactions on Signal Processing
Joint transmitter receiver diversity for efficient space division multiaccess
IEEE Transactions on Wireless Communications
Outage mutual information of space-time MIMO channels
IEEE Transactions on Information Theory
Multiple-antenna channel hardening and its implications for rate feedback and scheduling
IEEE Transactions on Information Theory
Interference Alignment and Degrees of Freedom of the -User Interference Channel
IEEE Transactions on Information Theory
Multiuser OFDM with adaptive subcarrier, bit, and power allocation
IEEE Journal on Selected Areas in Communications
MIMO capacity with interference
IEEE Journal on Selected Areas in Communications
A framework for uplink power control in cellular radio systems
IEEE Journal on Selected Areas in Communications
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This paper addresses the Margin Adaptive (MA) problem in MIMO OFDMA multi-cell networks. Resource allocation is distributed within each Base Station. Two cases are considered: full CSIT, and statistical CSIT. In both cases, a distributed convergence criterion for power control is determined and included within iterative power allocation. In the statistical CSIT case, an approximate analytical expression is obtained for the outage capacity, as a function of the SNR and the outage probability. It turns the MA problem into a convex optimization problem, and is valid at practical SNR and outage capacity values, for several antenna configurations. The proposed methods avoid power divergence situations at any load, and are consequently more efficient than iterative water-filling to solve the MA problem.