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首页> 外文会议>IEEE International Symposium of Quality of Service >QoS-based joint power and resource allocation with Adaptive Modulation and Coding for OFDMA femtocell networks
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QoS-based joint power and resource allocation with Adaptive Modulation and Coding for OFDMA femtocell networks

机译：OFDMA飞蜂窝网络的基于QoS的自适应调制和编码联合功率和资源分配

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摘要

Recently, LTE-based femtocell system has received significant attention as a promising solution offering high-speed services, enhanced indoor coverage and increased system capacity. Intelligently allocate resources in multi-user OFDMA-based network is the substantial aim towards interference mitigation and enhancing power and spectral efficiencies. In this paper, we propose a downlink joint resource allocation with Adaptive Modulation and Coding (AMC) technique for such system, namely AMC-QRAP. The proposal core is adjusting the transmission link to the channel status and users demand through the power control and suitable selection of the modulation/coding scheme. Clustered network is adopted and users differentiation is considered providing Quality of Service (QoS) in the network. Our resolution model is solved as an optimization problem using the linear programming. We show through extensive simulations the outperformance of our method compare to different state-of-the-art methods using different evaluation metrics.
机译：最近，基于LTE的毫微微小区系统作为一种提供高速服务，增强的室内覆盖范围和增加的系统容量的有前途的解决方案而受到了广泛的关注。在基于多用户OFDMA的网络中智能分配资源是缓解干扰，增强功率和频谱效率的主要目标。在本文中，我们针对这种系统提出了采用自适应调制和编码（AMC）技术的下行链路联合资源分配，即AMC-QRAP。该提案芯调节传输链路的信道状态和用户通过功率控制和调制/编码方案的适当选择的需求。采用群集网络，并考虑用户差异，以提供网络中的服务质量（QoS）。我们的分辨率模型是使用线性规划解决的优化问题。通过广泛的仿真，我们证明了我们的方法与使用不同评估指标的最新技术相比的出色表现。

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