Enhancing Quantum Communication: A Fair and Restricted Resource Allocation Approach for Entanglement Networks

Quantum entanglement networks has ushered in a new era of communication, with the core task of generating long-distance quantum entanglement being crucial for a multitude of quantum applications. Although current research is primarily focused on establishing long-distance entanglement across various network topologies, there is still a lack of attention to the variability of communication requests within quantum networks. This paper introduces the Fair and Restricted Resource Allocation Algorithm (FARA), designed to meet the business-driven resource allocation requirements within quantum networks. This algorithm prioritizes the demands and urgency of requests to establish a fairer response mechanism, leading to an enhanced user experience. We refine the strategy for allocating network resources to maximize their use during multiple concurrent requests and to improve the success rate of business. Simulation results demonstrate that our proposed scheme improves the business success rate by 6.35% to 24.58% and user satisfaction by 0.922 to 4.533 points compared to the Q-CAST algorithm. Additionally, resource wastage is reduced by 473 to 800 units. These enhancements indicate that our research provides effective strategies for business-driven optimization in quantum networks and makes a positive contribution to the development of entanglement networks towards more practical and efficient applications.