Elements of information theory
Elements of information theory
Convex Optimization
IEEE Transactions on Wireless Communications
Weighted sum rate optimization for cognitive radio MIMO broadcast channels
IEEE Transactions on Wireless Communications
On ergodic sum capacity of fading cognitive multiple-access and broadcast channels
IEEE Transactions on Information Theory
Cognitive multiple access channels: optimal power allocation for weighted sum rate maximization
IEEE Transactions on Communications
Fundamental limits of spectrum-sharing in fading environments
IEEE Transactions on Wireless Communications
Sensing-Throughput Tradeoff for Cognitive Radio Networks
IEEE Transactions on Wireless Communications
Capacity of fading channels with channel side information
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Multiaccess fading channels. II. Delay-limited capacities
IEEE Transactions on Information Theory
Optimum power control over fading channels
IEEE Transactions on Information Theory
Capacity and optimal resource allocation for fading broadcast channels .I. Ergodic capacity
IEEE Transactions on Information Theory
Capacity and optimal resource allocation for fading broadcast channels .II. Outage capacity
IEEE Transactions on Information Theory
Limiting performance of block-fading channels with multiple antennas
IEEE Transactions on Information Theory
Outage capacities and optimal power allocation for fading multiple-access channels
IEEE Transactions on Information Theory
Achievable rates in cognitive radio channels
IEEE Transactions on Information Theory
On Capacity Under Receive and Spatial Spectrum-Sharing Constraints
IEEE Transactions on Information Theory
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
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This paper considers a spectrum sharing based cognitive radio network where a M-user fading multiple access network shares the same spectrum with an existing primary network. The primary network's transmission is assumed to be protected by the interference power constraint. Under this interference power constraint together with the individual transmit power constraint of each user, the outage capacity regions for the fading cognitive multiple access channel (C-MAC) are defined for two different scenarios, i.e., an outage must be declared simultaneously for all users (common outage) and outages are declared individually for each user (individual outage). Then, optimal power allocation strategies to achieve the boundary points of these outage capacity regions are derived by considering their equivalent problems, i.e., the common/individual usage probability maximization for given rate vectors. It is rigorously proved that the optimal decoding strategy is the successive decoding strategy, and the decoding order is determined by the dual variables and the channel power gains of the involved channels. Then, a modified ellipsoid method is proposed to obtain the optimal dual variables. Finally, several numerical examples are given to validate the proposed studies.