CIF: Small: Energy Efficiency in Wireless Communications under Queueing Constraints

抽象？NSF 0917265无线通信的两个关键特性极大地影响了系统设计和性能，这两个特性是随机变化的信道条件和有限的能量资源。在无线系统中，由于多径衰落、移动性和变化的环境，接收信号的功率随时间和距离随机波动。此外，移动的无线系统只能配备有限的能量资源，因此在大多数应用中，能量有效的操作是至关重要的要求。在许多无线通信系统中，除了节能操作之外，满足某些服务质量（QoS）要求在提供可接受的性能和质量方面是至关重要的。例如，在IP语音（VoIP）、交互式视频（例如，视频会议）和无线系统中的流视频应用，延迟是关键的QoS度量。因此，下一代无线系统（其具有以可靠和鲁棒的方式随时随地提供通信的愿景）中的中心设计挑战是提供最佳性能水平，同时有效利用能量资源并满足某些QoS约束（例如，等待时间、分组丢失、缓冲区违反概率）。本研究的总体目标是通过统一的信息和嵌入式理论方面的分析，确定在嵌入式约束下运行的无线系统的能源效率的基本限制。研究人员将采用一种新的方法来分析能量效率，通过结合信息理论工具，如最小比特能量和宽带斜率，与嵌入式理论工具，如有效带宽和有效容量。该项目旨在通过严格确定缓冲约束下的能源效率基本限制来建立强有力的分析框架，同时还旨在通过试验台进行实验并与理论结果进行比较。

Abstract ? NSF 0917265The two key characteristics of wireless communications that greatly impact system design and performance are randomly-varying channel conditions and limited energy resources. In wireless systems, the power of the received signal randomly fluctuates over time and distance due to multipath fading, mobility, and changing environment. Moreover, mobile wireless systems can only be equipped with limited energy resources, and hence energy efficient operation is a crucial requirement in most applications. In many wireless communication systems, in addition to energy-efficient operation, satisfying certain quality-of-service (QoS) requirements is of paramount importance in providing acceptable performance and quality. For instance, in voice over IP (VoIP), interactive-video (e.g., videoconferencing), and streaming-video applications in wireless systems, latency is a key QoS metric. Therefore, the central design challenge in next-generation wireless systems, which has the vision of providing communications anytime, anywhere in a reliable and robust fashion, is to provide the best performance levels while making efficient use of energy resources and satisfying certain QoS constraints (e.g., latency, packet loss, buffer violation probability). The overall goal of this research is to identify the fundamental limits on the energy efficiency of wireless systems operating under queueing constraints through a unified analysis of information- and queueing-theoretic aspects. The investigators will employ a novel approach to analyze the energy efficiency by combining information-theoretic tools, such as minimum bit energy and wideband slope, with queueing-theoretic tools, such as effective bandwidth and effective capacity. This project seeks to establish a strong analytical framework by rigorously establishing fundamental limits on the energy efficiency under buffer constraints, and also at the same time has the goal of conducting experiments with a testbed and making comparisons with the theoretical findings.