Computationally efficient bandwidth allocation and power control for OFDMA
IEEE Transactions on Wireless Communications
Achievable rates in cognitive radio channels
IEEE Transactions on Information Theory
Multiuser OFDM with adaptive subcarrier, bit, and power allocation
IEEE Journal on Selected Areas in Communications
Spectrum sensing: A distributed approach for cognitive terminals
IEEE Journal on Selected Areas in Communications
Efficient resource allocation with flexible channel cooperation in OFDMA cognitive radio networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
Queue-aware resource allocation for downlink OFDMA cognitive radio networks
IEEE Transactions on Wireless Communications
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We investigate downlink resource allocation for OFDM-based cognitive radio networks. It is assumed that secondary users are allowed to transmit on all subchannels as long as the interference they create for primary users remains below a critical threshold. We consider a practical setting where secondary users have finite queue backlogs and a total power constraint at the base station and we perform resource allocation either over one or multiple time slots. Specifically, secondary users with small queue backlogs are only allocated sufficient rates to support their traffic demands and the remaining radio resources are shared among highly backlogged users. Under this setting, we formulate the joint subchannel and power problem with max-min fairness for highly backlogged users. Then, we propose an iterative procedure to find an optimal resource allocation solution using an integer program solver. For online implementation, we develop several heuristics of increasing complexity and performance. Numerical results show that the proposed heuristics achieve very good performance compared to the optimal solutions and that taking queue backlogs into account does not make the heuristics much slower while making the system more responsive to users' need.