IEEE Transactions on Wireless Communications
Analysis of energy efficiency in fading channels under QoS constraints
IEEE Transactions on Wireless Communications
MIMO wireless communications under statistical queueing constraints
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Energy efficiency of fixed-rate wireless transmissions under QoS constraints
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Effective capacity maximization in multi-antenna channels with covariance feedback
IEEE Transactions on Wireless Communications
Effective capacity analysis of cognitive radio channels for quality of service provisioning
IEEE Transactions on Wireless Communications
Power-efficient resource allocation with QoS guarantees for TDMA fading channels
Wireless Communications & Mobile Computing
Effective capacity of a correlated Nakagami-m fading channel
Wireless Communications & Mobile Computing
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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 Wu and Negi's 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 and channel-state information (CSI) feedback delay 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. Also, in an in-door mobile environment, e.g., the widely used wireless local-area networks (WLAN), our proposed algorithm is shown to be robust to the CSI feedback delay.