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Adaptive modulation and coding for QoS-based femtocell resource allocation with power control

机译:具有功率控制的基于QoS的毫微微小区资源分配的自适应调制和编码

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Nowadays, LTE-based femtocell technology is a promising solution offering high-speed services, enhanced indoor coverage and increased system capacity. In such multi-user wireless communication systems, intelligently allocating resources is the substantial aim towards interference mitigation and enhancing power and spectral efficiencies. In this paper, we propose a joint power and channel allocation with Adaptive Modulation and Coding (AMC) technique for downlink OFDMA-based LTE system, namely AMC-QRAP. As trade-off between distributed and centralized architectures, we consider a clustered network architecture. Users differentiation is taken into account to ensure Quality of Service (QoS) guarantee where premium High Priority HP users and best effort BE users are served by the network. Our allocation problem is resolved as an optimization model using linear programming. Extensive simulations prove that our proposal outperforms different techniques in the literature and considerably improve two previously proposed methods QP-FCRA and Q-FCRA. We consider different metrics for performance evaluation such as spectral efficiency, throughput satisfaction rate, user outage and transmission power.
机译:如今,基于LTE的毫微微小区技术是一种有前途的解决方案,可提供高速服务,增强的室内覆盖范围和增加的系统容量。在这样的多用户无线通信系统中,智能地分配资源是减轻干扰并增强功率和频谱效率的主要目的。在本文中,我们提出了基于自适应调制和编码(AMC)技术的联合功率和信道分配,用于基于下行链路OFDMA的LTE系统,即AMC-QRAP。在分布式和集中式架构之间进行权衡时,我们考虑使用集群网络架构。考虑到用户的差异性,以确保通过网络为高级High Priority HP用户和尽力而为的BE用户提供服务质量(QoS)的保证。我们的分配问题使用线性规划解决为优化模型。大量的仿真证明,我们的建议优于文献中的不同技术,并且大大改进了先前提出的两种方法QP-FCRA和Q-FCRA。我们考虑用于性能评估的不同指标,例如频谱效率,吞吐量满意度,用户中断和传输功率。

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