Data networks (2nd ed.)
Fair end-to-end window-based congestion control
IEEE/ACM Transactions on Networking (TON)
Proceedings of the 10th annual international conference on Mobile computing and networking
Rate Performance Objectives of Multihop Wireless Networks
IEEE Transactions on Mobile Computing
Power Control is not Required for Wireless Networks in the Linear Regime
WOWMOM '05 Proceedings of the Sixth IEEE International Symposium on World of Wireless Mobile and Multimedia Networks
User-level performance of channel-aware scheduling algorithms in wireless data networks
IEEE/ACM Transactions on Networking (TON)
OFDM-Based Broadband Wireless Networks: Design and Optimization
OFDM-Based Broadband Wireless Networks: Design and Optimization
An overview of peak-to-average power ratio reduction techniques for multicarrier transmission
IEEE Wireless Communications
Network coordination for spectrally efficient communications in cellular systems
IEEE Wireless Communications
Convergence of proportional-fair sharing algorithms under general conditions
IEEE Transactions on Wireless Communications
Downlink Radio Resource Allocation for Multi-Cell OFDMA System
IEEE Transactions on Wireless Communications
Binary Power Control for Sum Rate Maximization over Multiple Interfering Links
IEEE Transactions on Wireless Communications
Opportunistic beamforming using dumb antennas
IEEE Transactions on Information Theory
Opportunistic transmission scheduling with resource-sharing constraints in wireless networks
IEEE Journal on Selected Areas in Communications
Media Independent Handover-based Competitive On-Line CAC for Seamless Mobile Wireless Networks
Wireless Personal Communications: An International Journal
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We present a unified analytical framework that maximizes generalized utilities of a wireless network by network-wide opportunistic scheduling and power control. That is, base stations in the network jointly decide mobile stations to be served at the same time as the transmission powers of base stations are coordinated to mitigate the mutually interfering effect. Although the maximization at the first glance appears to be a mixed, twofold and nonlinear optimization requiring excessive computational complexity, we show that the maximization can be transformed into a pure binary optimization with much lower complexity. To be exact, it is proven that binary power control of base stations is necessary and sufficient for maximizing the network-wide utilities under a physical layer regime where the channel capacity is linear in the signal-to-interference-noise ratio. To further reduce the complexity of the problem, a distributed heuristic algorithm is proposed that performs much better than existing opportunistic algorithms. Through extensive simulations, it becomes clear that network-wide opportunistic scheduling and power control is most suitable for fairness-oriented networks and underloaded networks. We believe that our work will serve as a cornerstone for network-wide scheduling approaches from theoretical and practical standpoints.