Power-Efficient Cross-Layer Design for OFDMA Systems With Heterogeneous QoS, Imperfect CSI, and Outage Considerations

被引:41
|
作者
Zarakovitis, Charilaos C. [1 ]
Ni, Qiang [1 ]
Skordoulis, Dionysios E. [1 ]
Hadjinicolaou, Marios G. [1 ]
机构
[1] Brunel Univ, Dept Elect & Comp Engn, Sch Engn & Design, Uxbridge UB8 3PH, Middx, England
基金
英国工程与自然科学研究理事会;
关键词
Channel state information (CSI); cross-layer scheduling; multiple access; orthogonal frequency-division multiple access (OFDMA); packet outage; quality of service (QoS); resource allocation; wireless networks; MULTIUSER OFDM; RESOURCE-ALLOCATION; ADAPTATION;
D O I
10.1109/TVT.2011.2179817
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Reducing power consumption subject to quality-of-service (QoS) provisions is a critical task for next-generation networking. Recent research in resource management for orthogonal frequency-division multiple-access (OFDMA) systems has generally assumed the availability of perfect channel state information at the transmitter (CSIT) or imperfect CSIT with small uncertainty. Nevertheless, such approaches deliver resource scheduling strategies with high transmitting power because, in real environments, large channel feedback delays and estimation errors cause high CSIT imperfectness. Furthermore, most existing works treat various QoS requirements from mobile users as homogenous, although they are heterogeneous in nature. In this paper, we address these issues by proposing a new power-efficient adaptive error-tolerant cross-layer scheduling scheme for OFDMA systems (PE-AETS). Our target is to minimize the transmitting power by considering heterogeneous QoS requirements and data outage due to imperfect CSIT. The proposed scheme adopts a robust power-bit loading (PBL) method that adjusts power and data rates across subcarriers with increased system resilience to channel errors. We develop a statistical queuing model to express the delay limitation of each user with an equivalent cross-layer constraint, and we apply subcarrier time-sharing relaxation to formulate a convex optimization problem. Finally, we utilize Lagrangian optimization to propose a joint power and subcarrier allocation policy with guaranteed convergence to optimal solutions and linear complexity. Various simulation scenarios confirm the superior performance of the proposed PE-AETS over relevant cross-layer approaches.
引用
收藏
页码:781 / 798
页数:18
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