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Data traffic scheduling algorithm for multiuser OFDM system with adaptive modulation considering fairness among users

机译:考虑用户公平的自适应调制多用户OFDM系统数据业务调度算法

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Orthogonal frequency division multiplexing (OFDM) is regarded as a very promising digital modulation technique for achieving high rate transmission. However, the increasing number of wireless data users and the deployment of broadband wireless networks have brought about issues of fairness among users and system throughput. In this paper, we propose an efficient scheduling algorithm to maximize system throughput while providing a level of fairness among users for non-real-time data traffic in the downlink of a multiuser OFDM system. We establish a practical scheduling procedure to implement our scheme considering fairness among users and also formulate the resource allocation problem for rate, power, and subcarrier allocation as an integer program that maximizes system throughput. Next, we present a computationally efficient heuristic algorithm for a problem based on the Lagrangian relaxation procedure. Through the computing simulation, we show that the proposed scheme performs better than other schemes in terms of both system throughput and fairness among users.
机译:正交频分复用(OFDM)被视为实现高速率传输的非常有前途的数字调制技术。然而,越来越多的无线数据用户和宽带无线网络的部署带来了用户之间的公平性和系统吞吐量的问题。在本文中,我们提出了一种高效的调度算法,可在为多用户OFDM系统的下行链路中的非实时数据流量提供用户之间的公平性的同时,最大化系统吞吐量。我们建立了一个实用的调度程序来实现考虑用户之间公平性的方案,并且将速率,功率和子载波分配的资源分配问题表述为使系统吞吐量最大化的整数程序。接下来,我们提出一个基于拉格朗日松弛过程的高效计算启发式算法。通过计算仿真,我们表明该方案在系统吞吐量和用户之间的公平性方面都比其他方案表现更好。

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