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Utility function maximization problems for two cross-layer optimization algorithms in OFDM wireless networks

机译:OFDM无线网络中两种跨层优化算法的效用函数最大化问题

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One of the main problems in wireless networks is optimization of radio resources allocation in down-link channel. Different traffic types transmitted over the network suggest a dynamic resource allocation in order to provide a better quality of service (QoS). There are radio resource management modules, called schedulers, which are engaged in resource planning and access priority assignment depending on the types of traffic with the specified requirements for QoS. Schedulers are developed based on algorithms derived from solving various radio resources optimization problems. Cross-layer optimization problems such as the problem of minimizing the transmission power or the problem of maximizing the transmission rate [1], in fact involve the optimization of a utility function, that describe a certain level of user satisfaction for a particular resources allocation scheme under certain restrictions. In this paper we study two cross-layer optimization algorithms that are intended to maximize the utility function under different conditions - dynamic subcarrier assignment (DSA) algorithm and adaptive power allocation (APA) algorithm.
机译:无线网络中的主要问题之一是下行链路信道中无线电资源分配的优化。通过网络传输的不同流量类型建议动态分配资源,以提供更好的服务质量(QoS)。有称为调度程序的无线电资源管理模块,这些模块根据具有指定QoS要求的流量类型进行资源规划和访问优先级分配。基于解决各种无线电资源优化问题而得出的算法来开发调度器。跨层优化问题,例如最小化传输功率的问题或最大化传输速率的问题[1],实际上涉及到效用函数的优化,它描述了特定资源分配方案的特定级别的用户满意度在某些限制下。在本文中,我们研究了两种旨在在不同条件下最大化效用函数的跨层优化算法-动态子载波分配(DSA)算法和自适应功率分配(APA)算法。

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