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- W4387546582 abstract "As a low-cost and low-power-consumption passive reflector, IRS can make a significant rate improvement by building a programmable wireless environment. To improve the rate performance and coverage range of wireless networks, an IRS-aided DF relay network is proposed with multiple antennas at relay station (RS). To achieve a high rate, an alternately iterative structure (AIS) of maximizing receive power (Max-RP) at RS is proposed to jointly optimize the beamforming vectors at RS and phase shifts at IRS. Considering its high-complexity, two low-complexity Max-RP schemes of NSP plus MRC and intelligent reflecting surface element selection (IRSES) plus MRC are presented to reduce this complexity, respectively. For the former, NSP is used to separate the reflected signal from IRS and the direct transmitted signal from source and MRC is adopted to combine the two signals at RS. For the latter, the basic concept of IRSES is as follows: IRS is partitioned into M subsets of elements and adjusting the phases of all elements per subset make all reflected signals and the direct signal from source phase alignment at the corresponding antenna of relay. Simulation results show that the proposed three methods perform much better than the existing network with single-antenna relay in terms of rate performance. In particular, a 85% rate gain over existing scheme is achieved in the high SNR region. Moreover, it is verified that the positions of RS and IRS have a substantial impact on rate performance, and there exists an optimal positions of RS and IRS." @default.
- W4387546582 created "2023-10-12" @default.
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- W4387546582 date "2023-01-01" @default.
- W4387546582 modified "2023-10-12" @default.
- W4387546582 title "Beamforming Design for IRS-Aided Decode-and-Forward Relay Wireless Network" @default.
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- W4387546582 doi "https://doi.org/10.1007/978-3-031-41812-9_9" @default.
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