The popularity of symmetrical services like video conferencing, telemedicine etc. is in an upsurge. With the rapid increase in the number of customers for such services, the demand for reliable and computationally feasible resource allocation techniques satisfying all the users are also intensifying. This paper proposes two computationally feasible techniques for allocation of resources in OFDMA system specifically for services that demand similar quality in the uplink and downlink directions. The resource allocation problem is multiobjective in nature with the objectives to maximize the data rates in both directions meanwhile minimizing the difference in the bidirectional data rates for each user. Fairness has been incorporated as a major constraint in the formulation of the optimization problem. Equal Power allocation and weighted sum method are implemented for power allocation while subcarrier allocation is carried out using an evolutionary technique. The solution for subcarrier allocation is represented in a novel manner such that the complexity is reduced to a great extent at the same time attaining acceptable data rates.

像视频会议，远程医疗等对称服务的普及正在迅速发展。随着此类服务的客户数量的快速增长，对满足所有用户需求的可靠且在计算上可行的资源分配技术的需求也在不断增加。本文针对OFDMA系统中的资源分配提出了两种计算上可行的技术，专门用于在上行链路和下行链路方向上要求类似质量的服务。资源分配问题本质上是多目标的，其目标是最大化两个方向上的数据速率，同时最小化每个用户的双向数据速率的差异。公平已被纳入制定优化问题的主要约束条件。在使用演进技术执行子载波分配的同时，实现了相等的功率分配和加权和方法进行功率分配。子载波分配的解决方案以新颖的方式表示，从而在获得可接受的数据速率的同时，极大地降低了复杂度。