Convex Optimization
Resource allocation for OFDM-based cognitive radio multicast networks
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Achievable rates and resource allocation strategies for imperfectly known fading relay channels
EURASIP Journal on Wireless Communications and Networking
Optimal power allocation for cognitive radio under primary users outage loss constraint
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Outage reduction in cooperative networks with limited feedback
IEEE Transactions on Communications
Optimal and Suboptimal Power Allocation Schemes for OFDM-based Cognitive Radio Systems
IEEE Transactions on Wireless Communications - Part 2
Resource allocation for spectrum underlay in cognitive radio networks
IEEE Transactions on Wireless Communications - Part 2
Ergodic Sum Rate Maximization for Underlay Spectrum Sharing with Heterogeneous Traffic
Wireless Personal Communications: An International Journal
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This paper consider the power allocation strategies in the cognitive radio (CR) system in the presence of channel estimation errors. As the user has different channel condition in CR systems, different amount of power resource is required to meets the QoS request. In order to guarantee the fairness of each CR user, ensure the interference from the primary user and other CR users meet the QoS requirement of the CR user and limit the interference that is caused by CR users on primary user within the range into the level that primary user can tolerate, we proposed some new power allocation schemes. The targets are to minimize the maximum power allocated to CR users, to maximize the minimum signal-to-interference-plus-noise ratio (SINR) among all CR users and to minimize the maximum outage probability over all CR users. The first power allocation scheme can be formulated using Geometric Programming (GP). Since GP problem is equivalent to the convex optimization problem, we can obtain the optimal solutions for the first scheme. The latter two power allocation schemes are not GP problems. We propose iterative algorithms to solve them. Simulation results show that proposed schemes can efficiently guarantee the fairness of CR users under the QoS constraint of the primary user and CR users.