Optimization of Radio and Computational Resources for Energy Efficiency in Latency-Constrained Application Offloading
Optimization of Radio and Computational Resources for Energy Efficiency in Latency-Constrained Application Offloading
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DOI：
10.1109/tvt.2014.2372852
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发表时间：
2015-10-01
影响因子：
6.8
通讯作者：
Vidal, Josep
中科院分区：
文献类型：
--
作者：
Munoz, Olga;Pascual-Iserte, Antonio;Vidal, Josep
提供具有计算能力的毫微微接入点（FAP）将允许（全部或部分）将高度要求的应用从智能手机卸载到所谓的毫微微云。这样的卸载在移动的终端（MT）处的电池节省和/或在应用的执行中的延迟减少方面有望是有益的。然而，为了使这一承诺成为现实，通信过程所需的能量和/或时间必须由FAP处的远程计算产生的能量和/或时间节省来补偿。对于这个问题，我们在本文中提供了一个框架，利用能源消耗和延迟之间的权衡无线电和计算资源的使用联合优化。假设多个天线在MT和服务FAP处可用。作为优化的结果，最优通信策略（例如，传输功率、速率和预编码器），以及计算负载在手持机和服务FAP之间的最优分配。本文还建立了条件下，总或没有卸载是最佳的，确定这是最低的可负担的延迟在执行的应用程序，并分析，作为一个特定的情况下，最小化的总消耗的能量没有延迟的限制。
Providing femto access points (FAPs) with computational capabilities will allow (either total or partial) offloading of highly demanding applications from smartphones to the so-called femto-cloud. Such offloading promises to be beneficial in terms of battery savings at the mobile terminal (MT) and/or in latency reduction in the execution of applications. However, for this promise to become a reality, the energy and/or the time required for the communication process must be compensated by the energy and/or the time savings that result from the remote computation at the FAPs. For this problem, we provide in this paper a framework for the joint optimization of the radio and computational resource usage exploiting the tradeoff between energy consumption and latency. Multiple antennas are assumed to be available at the MT and the serving FAP. As a result of the optimization, the optimal communication strategy (e.g., transmission power, rate, and precoder) is obtained, as well as the optimal distribution of the computational load between the handset and the serving FAP. This paper also establishes the conditions under which total or no offloading is optimal, determines which is the minimum affordable latency in the execution of the application, and analyzes, as a particular case, the minimization of the total consumed energy without latency constraints.