Analysis and design of cognitive radio networks and distributed radio resource management algorithms
Analysis and design of cognitive radio networks and distributed radio resource management algorithms
Interference coordination and cancellation for 4G networks
IEEE Communications Magazine
STACS'99 Proceedings of the 16th annual conference on Theoretical aspects of computer science
Near-optimal power control in wireless networks: a potential game approach
INFOCOM'10 Proceedings of the 29th conference on Information communications
IEEE Wireless Communications
Performance evaluation of frequency planning schemes in OFDMA-based networks
IEEE Transactions on Wireless Communications - Part 1
Providing quality of service over a shared wireless link
IEEE Communications Magazine
Cross-layer design: a survey and the road ahead
IEEE Communications Magazine
Application-driven cross-layer optimization for video streaming over wireless networks
IEEE Communications Magazine
Joint Channel and Power Allocation in Wireless Mesh Networks: A Game Theoretical Perspective
IEEE Journal on Selected Areas in Communications
Editorial: Control and optimization over wireless networks
Journal of Network and Computer Applications
Multi Objective Resource Scheduling in LTE Networks Using Reinforcement Learning
International Journal of Distributed Systems and Technologies
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As a new technology, inter-eNB coordination has been included in LTE-Advanced study items. Moreover, the network architecture in LTE-Advanced system is modified to take into account coordinated transmission. In our study, we explore the problem of jointly optimizing the power level and scheduling of resource blocks for LTE-Advanced network based on orthogonal frequency division multiplexing (OFDM). We propose a distributed optimization scheme based on evolutionary potential games, and in the process of objective function modeling we employ the Lagrangian multiplier method to solve the constraint objective optimization problem. Then particle swarm optimization (PSO) method is adopted to find the optimal power allocation and scheduling for each resource block in the multi-cell framework. Numerical results prove that proposed algorithm notably improves the overall throughput, while user fairness is guaranteed. Importantly, additional computation and communication cost introduced by cross-layer optimization is also evaluated.