Resource Allocation With Qos Provisioning For Energy Harvesting Systems: A Goal Programming Approach

In this paper, we address the problem of resource allocation with quality-of-service (QoS) provisioning for an energy harvesting system with a single source node and multiple users (destination nodes). We consider that the source node harvests energy from the environment, which is insufficient to satisfy the QoS of the users due to its random nature. We develop resource allocation schemes to minimize the dissatisfaction of the users through goal programming approach. First, we develop an offline scheme assuming that complete information about the harvested energy and channel state information (CSI) is available. The optimization problem is formulated as convex and efficient solution is provided based on dual decomposition algorithm. Next, we devise an online scheme considering the availability of causal and incomplete information about the harvested energy and CSI. We propose an algorithm based on dynamic programming to obtain the online optimal solution. Numerical results demonstrate the effectiveness of our proposed schemes in terms of fairness and the importance of QoS provisioning in energy harvesting systems.