Optimal On Demand Delay-constrained Fair Distribution for self-coexistence WRAN

Abstract

Resource allocation plays a critical role in improving the performance of Wireless Regional Area Network (WRAN) in terms of throughput, delay and fairness. In this paper, we fully consider the distinct delay constraints and frame demands of users and formulate the resource allocation optimization problem as an integer programming problem. A new approach termed On Demand Delay-constrained Fair Distribution (ODDFD) is proposed to solve this optimization problem. One distinguished feature of the ODDFD is that it is able to deal with both delay-sensitive networks and delay-insensitive networks. In this manner, ODDFD is able to maximize the fairness of resource distribution both in short term and in long term. In addition, to better assess the fairness problem in resource allocation, we propose a new fairness metric termed priority-dependence Fairness Index (F-Index) to fully consider priority levels of different users. Simulation results verify that the proposed F-Index is applicable in situations with both homogeneous and heterogeneous priorities among users. Extensive simulations are conducted to evaluate the performance of ODDFD. We conclude that, compared to existing approaches, the ODDFD reduces the unexpected delays in frame transmissions in delay-sensitive networks and significantly improves the fairness of resource allocation in delay-insensitive networks.