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Bidirectional Cellular Relay Network with Distributed Relaying

机译:具有分布式中继的双向蜂窝中继网络

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In this paper, we consider a bidirectional cellular relay network with distributed relays where a single base station exchanges information with multiple independent users through multiple single-antenna relays. We design the transceivers at the base station, the relays, and the users. The related optimization problems are generally non-convex and difficult to solve. In this paper, we propose a unified framework to design the transceiver algorithms based on two criteria, i.e. weighted sum MSE minimization and sum rate maximization. Specifically, we show that the sum rate maximization problem can be converted into an iterative weighted sum MSE minimization problem. Low-complexity iterative algorithms are developed for both weighted sum MSE minimization and sum rate maximization optimization problems. However, the convergence points of the proposed iterative algorithms are sensitive to the initial conditions, especially in the high signal-to-noise ratio (SNR) regime. For this reason, we further derive the high-SNR asymptotically optimal solutions and use them as the initials for the proposed iterative algorithms. Simulation results show that the proposed scheme can approximately double the system throughput, compared to the conventional four-stage transmission schemes.
机译:在本文中,我们考虑了具有分布式中继的双向蜂窝中继网络,其中单个基站通过多个单天线中继与多个独立用户交换信息。我们在基站,中继站和用户处设计收发器。相关的优化问题通常是非凸的并且难以解决。在本文中,我们提出了一个统一的框架来设计基于两个标准的收发器算法,即加权总和MSE最小化和总和率最大化。具体来说,我们表明总和率最大化问题可以转换为迭代加权总和MSE最小化问题。针对加权和MSE最小化和总和率最大化优化问题,开发了低复杂度的迭代算法。但是,所提出的迭代算法的收敛点对初始条件敏感,尤其是在高信噪比(SNR)方案中。因此,我们进一步推导了高SNR渐近最优解,并将其用作所提出的迭代算法的缩写。仿真结果表明,与传统的四阶段传输方案相比,该方案可以使系统吞吐量提高大约一倍。

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