Optimal Time and Power Allocation for Throughput Fairness in RF-Energy Harvesting Cognitive Radio Networks
Keywords:
Cognitive radio networks, Energy Harvesting, Fairness, Optimization, Radio resource allocationAbstract
In this study, we addressed the optimization problem of fair network resource allocation in the context of cognitive radio network radio frequency energy harvesting (CRN-RF-EH) networks to ensure unbiased distribution of throughput capacity among users in the system. To achieve this goal, we formulated a non-convex optimization problem, specifically a max-min resource allocation problem. To make it more manageable, we transformed this non-convex problem into a convex optimization one by introducing auxiliary variables. We demonstrated that the transformed optimization problem is concave. We maximize the CRN-RF-EH worst-case user throughput capacity through the proposed joint optimal time and power allocation (JOTPA) scheme under the prevailing CRN-RF-EH constraints. Through simulation results, we consistently observed superior performance of our proposed solution compared to the conventional biased-randomized time optimal power allocation (BRTOPA) scheme. It is important to note that our analysis of the radio resource allocation fairness in CRN-RF-EH assumes perfect channel state information (CSI) among all users. In future research, exploring the impact of uncertainty arising from imperfect CSI among users in CRN-RF-EH would be an interesting direction.
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