Convex Optimization
Fundamentals of wireless communication
Fundamentals of wireless communication
IEEE Transactions on Computers
Fundamentals of WiMAX: Understanding Broadband Wireless Networking (Prentice Hall Communications Engineering and Emerging Technologies Series)
LTE, The UMTS Long Term Evolution: From Theory to Practice
LTE, The UMTS Long Term Evolution: From Theory to Practice
Max-matching diversity in OFDMA systems
IEEE Transactions on Communications
Optimal transmission scheduling over a fading channel with energy and deadline constraints
IEEE Transactions on Wireless Communications
Capacity of fading channels with channel side information
IEEE Transactions on Information Theory
Opportunistic beamforming using dumb antennas
IEEE Transactions on Information Theory
Quadratic resource allocation with generalized upper bounds
Operations Research Letters
Multiuser OFDM with adaptive subcarrier, bit, and power allocation
IEEE Journal on Selected Areas in Communications
Combining queueing theory with information theory for multiaccess
IEEE Journal on Selected Areas in Communications
Design and implementation of an integrated beamformer and uplink scheduler for OFDMA femtocells
Proceedings of the thirteenth ACM international symposium on Mobile Ad Hoc Networking and Computing
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Fair and efficient scheduling is a key issue in cross-layer design for wireless communication systems, such as 3GPP LTE and WiMAX. However, few works have considered the multiaccess of the traffic with differential QoS requirements in wireless systems. In this paper, we will consider an OFDMA-based wireless system with four types of traffic associated with differential QoS requirements, namely, minimum reserved rate, maximum sustainable rate, maximum latency, and tolerant jitter. Given these QoS requirements, the traffic scheduling will be formulated into a cross-layer optimization problem, which is convex fortunately. By separating the power allocation through the waterfilling algorithm in each user, this problem will further reduce to a kind of continuous quadratic knapsack problem in the base station which yields low complexity. It is then demonstrated that the proposed cross-layer method cannot only guarantee the application layer QoS requirements, but also minimizes the integrated residual workload in the MAC layer. To further enhance the ability of QoS assurance in heavily loaded scenario, a call admission control scheme will also be proposed. The simulation results show that the QoS requirements for the four types of traffic are guaranteed effectively by the proposed algorithms.