MILP-based planning selects optimal mixes of RIS, STAR RIS, NCR, and 3SNCR to minimize cost or maximize coverage in an urban mmWave network.
A Comparison between Network-Controlled Repeaters and Reconfigurable Intelligent Surfaces
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abstract
Network-controlled repeater (NCR) has been recently considered as a study-item in 3GPP Release 18, and the discussions are continuing in a work-item. In this paper, we introduce the concept of NCRs, as a possible low-complexity device to support for network densification and compare the performance of the NCRs with those achieved by reconfigurable intelligent surfaces (RISs). The results are presented for the cases with different beamforming methods and hardware impairment models of the RIS. Moreover, we introduce the objectives of the 3GPP Release 18 NCR work-item and study the effect of different parameters on the performance of NCR-assisted networks. As we show, with a proper deployment, the presence of NCRs/RISs can improve the network performance considerably.
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Optimal Planning for Heterogeneous Smart Radio Environments
MILP-based planning selects optimal mixes of RIS, STAR RIS, NCR, and 3SNCR to minimize cost or maximize coverage in an urban mmWave network.