QoS Provisioning Based Resource Allocation for Energy Harvesting Systems
QoS Provisioning Based Resource Allocation for Energy Harvesting Systems
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DOI：
10.1109/twc.2016.2553037
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发表时间：
2016-07-01
影响因子：
10.4
通讯作者：
Bhargava, Vijay K.
中科院分区：
文献类型：
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作者：
Loodaricheh, Roya Arab;Mallick, Shankhanaad;Bhargava, Vijay K.
在本文中，我们提出了基于服务质量（QoS）的资源分配（RA）计划的能量收集（EH）系统。我们考虑一个系统模型与一个单一的源和多个目的地节点或用户，其中的源节点从环境中收获能量。我们的目标是制定有效的RA策略EH系统时，在源节点的收获能量是不确定的，不足以完全满足用户的QoS。我们开发了两种不同的计划和RA政策来解决这个问题。在第一个方案中，我们通过目标规划的方法，在有限的时间内最小化用户的总不满。在第二个方案中，我们最大限度地接纳用户的数量，并提供保证的QoS给他们。对于这两种方案，我们首先开发离线算法假设的可用性完美和完整的信息收集的能量和信道状态信息（CSI）。接下来，我们设计基于动态规划（DP）的在线算法，考虑到有关收获的能量和CSI的因果信息的可用性。数值结果表明，我们提出的算法的有效性和重要性的QoS供应为基础的RA计划在EH系统。
In this paper, we propose quality-of-service (QoS) based resource allocation (RA) schemes for energy harvesting (EH) systems. We consider a system model with a single source and multiple destination nodes or users, in which the source node harvests energy from the environment. Our goal is to develop efficient RA policies for EH systems when the harvested energy at the source node is uncertain and insufficient to satisfy the QoS of the users completely. We develop two different schemes and RA policies to address this problem. In the first scheme, we minimize the total dissatisfaction of the users over a finite period of time through goal programming approach. In the second scheme, we maximize the number of admitted users and provide guaranteed QoS to them. For both schemes, we first develop offline algorithms assuming the availability of perfect and complete information about the harvested energy and channel state information (CSI). Next, we devise online algorithms based on dynamic programming (DP) considering the availability of causal information about the harvested energy and CSI. Numerical results demonstrate the effectiveness of our proposed algorithms and the importance of QoS provisioning based RA schemes in EH systems.