Cross-Layer-Model Based Adaptive Resource Allocation for Statistical QoS Guarantees in Mobile Wireless Networks
Cross-Layer-Model Based Adaptive Resource Allocation for Statistical QoS Guarantees in Mobile Wireless Networks
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DOI：
10.1145/1185373.1185430
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发表时间：
2006-08
影响因子：
10.4
通讯作者：
Jia Tang;Xi Zhang
中科院分区：
文献类型：
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作者：
Jia Tang;Xi Zhang
我们建议通过下行链路移动无线网络保证各种服务质量（QoS）的基于跨层模型的自适应资源分配方案。我们提出的方案动态分配了异质实时移动用户的功率级别和时间插槽，以满足统计延迟限制的QoS要求的变化。为了实现这一目标，我们应用WU和NEGI的有效能力方法来得出入学控制和功率/时间段分配算法，从而保证了异质移动用户的统计延迟限制。设计这种算法时，我们研究了物理层问题的影响，例如自适应功率控制和频道状态信息（CSI）反馈延迟对QoS供应性能。通过数值和仿真结果，我们观察到自适应能力适应对统计QoS保证有重大影响。此外，分析表明，我们提出的资源分配算法被证明能够有效地支持各种无线渠道上各种实时移动用户的QoS要求。同样，在室内移动环境中，例如广泛使用的无线本地区域网络（WLAN），我们提出的算法证明对CSI反馈延迟具有鲁棒性。
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.