Robust Resource Allocation with Power Outage Guarantees for Energy Harvesting Aided Device-to-Device Communication
This paper studies the robust resource allocation to improve the robustness against the channel state information (CSI) uncertainties for energy harvesting (EH)-aided device-to-device (D2D) communication underlaying cellular network. In this network, EH-aided D2D transmitters can reuse the uplink cellular sub-channels to perform transmission to the desired D2D receivers. Assuming the link gains in the interference channels are uncertain, we formulate the robust resource allocation problem with
... view to maximizing the sum-rate of the D2D links while guaranteeing the power outage Quality-of-Service (QoS) requirements and interference constraints. In doing so, both deterministic and statistical uncertainty model are adopted to specify the CSI uncertainties. This resulting robust problem is essentially non-convex and intractable in its original form. Therefore, we firstly utilize the worst-case approach and chance constraint approach to find its tractable and convex forms. Then, via employing the Lagrangian dual method, we derive the semi-closed expression for the power allocation and two rules for assigning sub-channels. Based on the theoretical results, a distributed subgradient-based iterative algorithm is developed to achieve the optimally robust resource allocation. Finally, an in-depth simulation is conducted to verify the effectiveness of the proposed algorithm and evaluate the effect of CSI uncertainties and power outage QoS requirement on the sum-rate of the D2D links. INDEX TERMS Robust resource allocation, D2D communication, convex optimization, channel uncertainty, chance constraint.