Robust Transceiver Design for IRS-Assisted Cascaded MIMO Systems
Robust Transceiver Design for IRS-Assisted Cascaded MIMO Systems
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DOI：
10.1109/pimrc54779.2022.9978036
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发表时间：
2022-08
期刊：
影响因子：
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通讯作者：
Hossein Esmaeili;Ali Kariminezhad;A. Sezgin
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文献类型：
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作者：
Hossein Esmaeili;Ali Kariminezhad;A. Sezgin
针对不可解系统不确定性的稳健收发器设计对于实现可靠通信至关重要。我们考虑一个MIMO两跳系统，其中源、中继和目标都配备了多个天线。在此基础上，建立了一种智能可重构曲面（IRS），以尽可能地消除残余自干扰（RSI）。优化问题是非凸的，计算量很大。我们提出了一种新的数学方法来寻找IRS性能的下界。此方法不需要执行任何优化，并提供可用作基准的分析边界。此外，我们使用该方法找到最坏情况下RSI， IRS辅助全双工MIMO系统的可实现速率。
Robust transceiver design against unresolvable system uncertainties is of crucial importance for reliable communication. We consider a MIMO two-hop system, where the source, the relay, and the destination are equipped with multiple antennas. Further, an intelligent reconfigurable surface (IRS) is established to cancel the residual self-interference (RSI) as much as possible. The optimization problem turns out to be non-convex and computationally extensive. We propose a new mathematical method to find a lower bound on the performance of the IRS. This method does not require performing any optimizations and provides an analytical bound that can be used as a benchmark. Further, we use this method to find achievable rates for the worst case RSI, IRS assisted full-duplex MIMO systems.