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Uplink Synchronization in OFDMA Spectrum-Sharing Systems

机译:OFDMA频谱共享系统中的上行链路同步

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Spectrum sharing employs dynamic allocation of frequency resources for a more efficient use of the radio spectrum. Despite its appealing features, this technology inevitably complicates the synchronization task, which must be accomplished in an environment that may involve interference. This paper considers the uplink of an orthogonal frequency-division multiple-access (OFDMA)-based spectrum sharing system and provides solutions for estimating the frequency and timing errors of multiple unsynchronized users. In doing so, we exploit suitably designed training blocks and apply maximum likelihood methods after modeling the interference power on each subcarrier as a random variable with an inverse gamma distribution. The resulting frequency estimator turns out to be the extension to a multiuser scenario of a scheme that has previously been proposed for single-user spectrum-sharing systems. Timing recovery is more challenging and leads to a complete search over a multidimensional domain. To overcome such a difficulty, two alternative approaches are proposed. The first one relies on a simplifying assumption about the interference distribution in the frequency domain, while the second scheme operates in an iterative fashion according to the expectation-maximization algorithm.
机译:频谱共享采用频率资源的动态分配,以更有效地利用无线电频谱。尽管具有吸引人的功能,但该技术不可避免地使同步任务变得复杂,必须在可能涉及干扰的环境中完成同步任务。本文考虑了基于正交频分多址(OFDMA)的频谱共享系统的上行链路,并提供了用于估计多个未同步用户的频率和定时误差的解决方案。为此,我们在将每个副载波上的干扰功率建模为具有反伽马分布的随机变量后,利用适当设计的训练块并应用最大似然方法。所得的频率估计器原来是先前针对单用户频谱共享系统提出的方案的多用户方案的扩展。定时恢复更具挑战性,并导致在多维域上进行完整搜索。为了克服这种困难,提出了两种替代方法。第一个方案基于关于频域中干扰分布的简化假设,而第二个方案则根据期望最大化算法以迭代方式进行操作。

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