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arXiv 2103.09898cs.ITeess.SPmath.IT
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MISO广播信道的智能反射面随机旋转方案

Intelligent Reflecting Surface Enabled Random Rotations Scheme for the MISO Broadcast Channel

Qurrat-Ul-Ain Nadeem, Alessio Zappone, Anas Chaaban

摘要:

目前关于智能反射面(IRS)的文献主要集中在优化IRS相移以产生相干波束形成增益,但这是在假设单个IRS辅助链路具有完美的信道状态信息(CSI)的情况下进行的,这是非常不切实际的。相反,这项工作考虑了IRS处的随机旋转方案,其中反射元件仅采用随机相位旋转而不需要任何CSI。然后,在整个信道的基站(BS)处仅需要CSI来实现波束成形传输方案。在此框架下,我们推导出的总和率缩放定律在大量的用户制度的IRS辅助多输入单输出(MISO)广播信道,最佳脏纸编码(DPC)计划和较低复杂度的随机波束形成(RBF)和确定性波束形成(DBF)计划在BS。随机旋转方案通过利用多用户分集来提高和速率,但由于相关性,也在一定程度上牺牲了增益。最后,能量效率最大化的BS天线,IRS元素和发射功率的数量的问题,解决了使用派生的缩放定律。仿真结果表明,所提出的方案,以提高和速率,性能变得接近下的相干波束形成的大量用户。

英文摘要:

The current literature on intelligent reflecting surface (IRS) focuses on optimizing the IRS phase shifts to yield coherent beamforming gains, under the assumption of perfect channel state information (CSI) of individual IRS-assisted links, which is highly impractical. This work, instead, considers the random rotations scheme at the IRS in which the reflecting elements only employ random phase rotations without requiring any CSI. The only CSI then needed is at the base station (BS) of the overall channel to implement the beamforming transmission scheme. Under this framework, we derive the sum-rate scaling laws in the large number of users regime for the IRS-assisted multiple-input single-output (MISO) broadcast channel, with optimal dirty paper coding (DPC) scheme and the lower-complexity random beamforming (RBF) and deterministic beamforming (DBF) schemes at the BS. The random rotations scheme increases the sum-rate by exploiting multi-user diversity, but also compromises the gain to some extent due to correlation. Finally, energy efficiency maximization problems in terms of the number of BS antennas, IRS elements and transmit power are solved using the derived scaling laws. Simulation results show the proposed scheme to improve the sum-rate, with performance becoming close to that under coherent beamforming for a large number of users.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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