Fair end-to-end window-based congestion control
IEEE/ACM Transactions on Networking (TON)
Wireless Communications
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Device-to-device communication as an underlay to LTE-advanced networks
IEEE Communications Magazine
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In D2D communication underlaying cellular networks, effective use of the radio resources is required to increase the total capacity of the entire networks. For satisfying the above requirement, practical and effective scheduling is necessary. An optimal proportional fair (PF) scheduling scheme that maximizes the logarithmic sum of the average user data rates provides an attractive trade-off between the user fairness and average data rates. Considering the fact that the optimal PF scheduling has the significantly high computational complexity, this paper proposes the evolutionary algorithm which has lower complexity than that of the optimal PF scheduling. The evolutionary algorithm achieves high logarithmic sum of the average user data rates while maintaining low computational complexity. Simulation results verify the performance of the proposed algorithms by comparing it with the optimal PF scheduling.