An uplink CDMA system architecture with diverse QoS guarantees for heterogeneous traffic
IEEE/ACM Transactions on Networking (TON)
Dynamic Programming and Optimal Control
Dynamic Programming and Optimal Control
An overview of scheduling algorithms in wireless multimedia networks
IEEE Wireless Communications
Effective capacity: a wireless link model for support of quality of service
IEEE Transactions on Wireless Communications
Quality-of-Service Driven Power and Rate Adaptation over Wireless Links
IEEE Transactions on Wireless Communications
Opportunistic beamforming using dumb antennas
IEEE Transactions on Information Theory
Cross-layer design for wireless networks
IEEE Communications Magazine
Cross-layer scheduling with prescribed QoS guarantees in adaptive wireless networks
IEEE Journal on Selected Areas in Communications
Mobility '08 Proceedings of the International Conference on Mobile Technology, Applications, and Systems
An efficient channel and queue aware resource allocation strategy in wireless access networks
Sarnoff'10 Proceedings of the 33rd IEEE conference on Sarnoff
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We propose a cross-layer-model based adaptive resource-allocation scheme for the diverse quality-of-service (QoS) guarantees over downlink mobile wireless networks. Our proposed scheme dynamically assigns power-levels and time-slots for heterogeneous real-time mobile users to satisfy the variation of statistical delay-bound QoS requirements. To achieve this goal, we apply effective capacity approach to derive the admission-control and power/time-slot allocation algorithms, guaranteeing the statistical delay-bound for heterogeneous mobile users. When designing such an algorithm, we study the impact of physical-layer issues such as adaptive power-control on the QoS provisioning performance. Through numerical and simulation results, we observe that the adaptive power adaptation has a significant impact on statistical QoS-guarantees. In addition, the analyses indicate that our proposed resource-allocation algorithms are shown to be able to efficiently support the diverse QoS requirements for various real-time mobile users over different wireless channels.