A multiobjective analytic framework for slotted ALOHA wireless LANs

This paper presents a multiobjective analytic framework for the study of individual performance requirements in a multi-class slotted ALOHA wireless local area network (WLAN). The capture effect has a significant impact on network performance in terms of contributing to the overall throughput. However, unfairness may be created when users of different characteristics are present. The proposed framework, which is based on several game theoretic approaches, attempts to address the issues of optimization and fairness jointly. Various concepts of optimality are introduced, in which the criteria of fairness are embedded. A finite-population network model and a fixed-position capture model are established, and the performance measures of the network are evaluated. Examples are given for the design of strategies regarding transmission probabilities based on the multiobjective approach