Abstract
We propose a sustainability-driven resource allocation algorithm for energy harvesting powered device-to-device (D2D) communication underlaying cellular networks. In this setup, D2D transmitters harvest energy from ambient energy sources and reuse the uplink cellular channels to perform transmission to the desired D2D receivers. Considering the time-varying and unpredictable nature of the harvested energy, the proposed algorithm ensures the energy sustainability-related quality-of-service with improved system capacity. To reach this goal, a statistical model based on the effective bandwidth/capacity is adopted to formulate the energy-harvesting/-consuming processes and evaluates the sustainability assurance in terms of the statistical outage exponent. Subsequently, we formulate the resource allocation problem with a view to maximizing the sum rate of the D2D links by jointly optimizing the power allocation and spectrum resource matching, meanwhile guaranteeing the energy sustainability requirements. By employing the Lagrangian dual method, we derive an analytical expression for the transmission power allocation and present two rules to match the cellular users with the D2D links for spectrum resource reuse. Our results reveal that both the power allocation and spectrum resource matching closely depend on the statistical outage exponent. With these theoretical analyses, we put forward a distributed subgradient-based iterative resource allocation algorithm with polynomial complexity. Finally, the simulation results demonstrate that the proposed resource allocation algorithm can acquire a substantial sum-rate improvement.
Highlights
Device-to-device (D2D) communication as an important part of the future 5G cellular networks has attracted extensive attention in recent years [1]–[5]
SUSTAINABILITY-DRIVEN RESOURCE ALLOCATION After introducing the premised network scenario and the constraints guaranteeing the statistical sustainability requirements, we will investigate the joint power allocation and spectrum resource matching with a view to maximizing the average sum-rate of the D2D links under the cross-tier interference constraint at BS and the energy sustainability constraints for D2D links
NUMERICAL RESULTS AND PERFORMANCE ANALYSIS we conduct extensive simulation under various system parameters to evaluate the performance of the proposed power allocation and spectrum resource matching policy
Summary
Device-to-device (D2D) communication as an important part of the future 5G cellular networks has attracted extensive attention in recent years [1]–[5]. Zhang et al proposed a statistical sustainability guarantee framework for an EH-powered wireless network by applying the effective bandwidth/capacity theory to explicitly identify the batterylow probability as a function of the energy harvesting and consuming processes. To address the statistical sustainability assurance for EH-powered DCCN, in this paper, we extend the analysis of the effective bandwidth/capacity formulations to D2D communication and devise a sustainability-driven algorithm jointly optimizing the transmission power of D2D links and matching CUs with D2D links with the aim to maximize the sum-rate. Thereinto, the power outage probability is characterized as a function of the energy harvesting and consuming processes With this framework, we consider the joint effect of the statistical sustainability assurance and channel fading on the resource allocation.
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