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首页> 外文期刊>IEEE Transactions on Vehicular Technology >Dynamic Spectrum Allocation for the Downlink of OFDMA-Based Hybrid-Access Cognitive Femtocell Networks
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Dynamic Spectrum Allocation for the Downlink of OFDMA-Based Hybrid-Access Cognitive Femtocell Networks

机译:基于OFDMA的混合接入认知毫微微小区网络下行链路的动态频谱分配

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摘要

The cognitive femtocell has emerged as an exciting technology to solve the indoor coverage problem in future cellular networks. Recently, several technical issues for the cognitive femtocell have been studied, e.g., spectrum sharing and interference mitigation. However, the incentive method that is very important for practical hybrid access cognitive femtocell deployment has not been well investigated. In this paper, we propose a new dynamic spectrum allocation method for the hybrid access cognitive femtocell. In the proposed method, the macro base station (BS) allocates a portion of subchannels to the femto access point (FAP) to spur the FAP to serve the macro users (MUs). Then, the FAP allocates the subchannels and power to maximize the femtocell network utility, whereas the throughput of the served MUs is guaranteed. Moreover, we formulate the corresponding resource allocation problem as a sum-utility maximization problem and propose an optimization method to solve it via the dual decomposition method. Simulation results show that both the wireless service provider and the femtocell could benefit from the proposed method.
机译:认知毫微微小区已经成为解决未来蜂窝网络中室内覆盖问题的令人兴奋的技术。最近,已经研究了认知毫微微小区的几个技术问题,例如频谱共享和干扰减轻。但是,对于实用的混合访问认知毫微微小区部署非常重要的激励方法尚未得到很好的研究。在本文中,我们提出了一种新的用于混合接入认知毫微微小区的动态频谱分配方法。在所提出的方法中,宏基站(BS)将一部分子信道分配给毫微微接入点(FAP),以刺激FAP为宏用户(MU)服务。然后,FAP分配子信道和功率以最大化毫微微小区网络效用,而服务的MU的吞吐量得到了保证。此外,我们将相应的资源分配问题公式化为总和效用最大化问题,并提出了一种通过对偶分解方法解决的优化方法。仿真结果表明,无线服务提供商和毫微微小区都可以从该方法中受益。

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