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Applying Bargaining Solutions to Resource Allocation in Multiuser MIMO-OFDMA Broadcast Systems

机译:议价解决方案在多用户MIMO-OFDMA广播系统中的资源分配中的应用

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Multiuser multi-input multi-output orthogonal frequency division multiple access (MIMO-OFDMA) is regarded as an important technology for increasing the flexibility and efficiency of wireless communication systems. A well-behaved resource allocation strategy is crucial for the performance of such systems. In this paper, we systematically study the allocation problem from a game theory perspective for the multiuser downlink broadcast channel. First, we investigate the application of the Nash and Kalai–Smorodinsky bargaining games to a general resource allocation problem and propose algorithms to find the corresponding solutions. Then we apply the general solutions to the special case where spatial block diagonalization is combined with time-sharing to multiplex a subset of the users on every subcarrier. To reduce the computational complexity, a framework for simplifying the resulting algorithms is also given. Numerical results and analysis are provided to compare the performance of the different resource allocation methods.
机译:多用户多输入多输出正交频分多址(MIMO-OFDMA)被认为是提高无线通信系统的灵活性和效率的重要技术。行为规范的资源分配策略对于此类系统的性能至关重要。在本文中,我们从博弈论的角度系统地研究了多用户下行广播信道的分配问题。首先,我们研究了Nash和Kalai–Smorodinsky讨价还价博弈在一般资源分配问题中的应用,并提出了寻找相应解决方案的算法。然后,我们将一般解决方案应用于特殊情况,其中空间块对角化与分时相结合,以在每个子载波上复用用户的子集。为了降低计算复杂度,还给出了用于简化所得算法的框架。提供数值结果和分析以比较不同资源分配方法的性能。

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