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Fair channel-adaptive rate scheduling in wireless networks with multirate multimedia services

机译:具有多型多媒体服务的无线网络中的公平频道自适应速率调度

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摘要

In this paper, we study the fundamental problem of allocating with efficiency and fairness the available resources in a code-division multiple-access wireless system that supports multirate multimedia services. Our proposed approach adopts the use of dynamically assigned data rates that match the channel capacity in order to improve the system throughput and overcome the problems associated with the location-dependent and time-dependent errors and channel conditions, the variable system capacity and the transmission power limitation. We introduce and describe two new algorithms, namely the channel adaptive rate scheduling (CARS) and fair channel adaptive rate scheduling (FCARS) algorithms. CARS improves the system throughput by adjusting the transmission rates according to the varying channel conditions and performs an iterative procedure to determine the power index that a user can accept by its current channel condition and transmission power. Based on the assignment of CARS, FCARS achieves the objective of fairness by further compensating the lagging users, while still maintaining all the constraints imposed by the system. The performance evaluation process confirms that our approach achieves, simultaneously, the design objectives of both high throughput and fairness and demonstrate the corresponding improvements.
机译:在本文中,我们研究了效率和公平分配的基本问题,并在一个支持多型多媒体服务的码分多访问无线系统中的可用资源。我们所提出的方法采用使用动态分配的数据速率与信道容量匹配,以提高系统吞吐量并克服与位置相关的和时间相关的错误和信道条件相关的问题,可变系统容量和传输功率局限性。我们介绍并描述了两个新的算法,即信道自适应速率调度(汽车)和公平信道自适应速率调度(FCARS)算法。通过根据变化信道条件调整传输速率来提高系统吞吐量,并执行迭代过程以确定用户可以通过其当前信道条件和传输功率接受的功率指标​​。根据汽车的转让,FCARS通过进一步补偿滞后用户来实现公平的目标,同时仍然保持系统施加的所有约束。性能评估过程证实,我们的方法同时实现了高吞吐量和公平性的设计目标,并证明了相应的改进。

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