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A Broad Beamforming Approach for High-Mobility Communications

机译:一种用于高移动通信的宽波束成形方法

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摘要

To leverage the benefits of multiple-input multiple-output in high-mobility communications, this paper proposes a broad beamforming approach (BBA), which focuses a broad beam on a moving user on the basis of the moving user's current location and velocity information. So, the moving user can be covered and tracked by the broad beam and is able to achieve high received signal-to-noise ratio (SNR). An optimization problem is formulated to minimize the required power by jointly optimizing the transmit and the receiving beam vectors, while guaranteeing the desired information rate of the moving user. Since the problem is with infinite constraints and has no known solution, we design an efficient algorithm to solve it, where the transmit and receiving beam vectors are optimized by using semidefinite relaxation alternatively in an iterative manner. Simulation results show that by using our proposed BBA, the desired information rate of the high-mobility user can be guaranteed. Compared with existing schemes, with the same power consumption, our proposed scheme can enhance the SNR greatly within the moving region of interest. Besides, by increasing the number of transmit antennas, the required power can be further decreased.
机译:为了利用高移动通信中多输入多输出的优势,本文提出了一种宽波束成形方法(BBA),该方法根据移动用户的当前位置和速度信息将宽波束聚焦在移动用户上。因此,移动用户可以被宽波束覆盖并跟踪,并能够实现高接收信噪比(SNR)。提出了一个优化问题,以通过共同优化发射和接收波束矢量来最小化所需功率,同时保证移动用户的所需信息速率。由于该问题具有无限的约束且没有已知的解决方案,因此我们设计了一种有效的算法来解决该问题,在该算法中,通过交替使用半定松弛来优化发送和接收波束矢量。仿真结果表明,通过使用我们提出的BBA,可以保证高移动性用户的所需信息率。与现有方案相比,在功耗相同的情况下,我们提出的方案可以在感兴趣的运动区域内大大提高SNR。此外,通过增加发射天线的数量,可以进一步降低所需的功率。

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