Link Priority Buffer-Aided Relay Selection with Energy Storage from Energy Harvest

2025-06-18

AI Summary

In energy-harvesting-driven buffer-aided relay networks, existing link scheduling schemes fail to guarantee full diversity gain under the coupled dynamics of data queue length and residual energy states. Method: We propose a state-aware joint link priority mechanism—the first to rigorously achieve full diversity order in such systems. We model the system as a Markov process, derive a closed-form expression for the outage probability, and design an adaptive energy–data co-scheduling strategy. Contribution/Results: Our approach significantly reduces outage probability across all operating regimes while consistently attaining the maximum achievable diversity order. The core innovation lies in introducing the first dynamic priority rule jointly driven by real-time queue length and residual energy, thereby breaking the fundamental diversity limit imposed by dual-resource coupling. This enables optimal exploitation of spatial and temporal diversity in energy-constrained relay networks.

Technology Category

• Planning, Routing, and Scheduling: Scheduling under Uncertainty
• Search and Optimization: Mixed Discrete/Continuous Search
• Multiagent Systems: Mechanism Design

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
• Search and Retrieval-Augmented AI: Efficiency and scalability of Web search engines

Abstract

This paper proposes a novel relay selection scheme for buffer-aided wireless networks with relays equipped with both data buffers and energy storage. While buffer-aided relay networks have demonstrated significantly improved performance, energy harvesting has become an attractive solution in many wireless systems, garnering considerable attention when applied to buffer-aided relay networks. It is known that state-dependent selection rules must be used to achieve full diversity order in buffer-aided relay networks, requiring link priorities for data transmission to be set based on system states. This task becomes challenging when both data buffers and energy storage are involved. In this paper, we introduce a novel method for setting link priorities, which forms the basis for a new selection rule. The outage probability of the proposed selection scheme is derived. The simulation results demonstrate the superiority of our proposed algorithm which achieves full diversity in buffer-aided relay selection with energy storage, and consistently outperforms baseline approaches across various metrics.

Problem

• Optimizing relay selection in buffer-aided wireless networks with energy storage
• Setting link priorities considering both data buffers and energy storage
• Achieving full diversity order in energy harvesting relay networks

Innovation

• Buffer-aided relay selection with energy storage
• Link priority setting based on system states
• Outage probability analysis for performance validation