Near-Optimal LOS and Orientation Aware Intelligent Reflecting Surface Placement | IEEE Conference Publication | IEEE Xplore

Near-Optimal LOS and Orientation Aware Intelligent Reflecting Surface Placement


Abstract:

Due to their passive nature and thus low energy consumption, intelligent reflecting surfaces (IRSs) have shown promise as means of extending coverage as a proxy for conne...Show More

Abstract:

Due to their passive nature and thus low energy consumption, intelligent reflecting surfaces (IRSs) have shown promise as means of extending coverage as a proxy for connection reliability. The relative locations of the base station (BS), IRS, and user equipment (UE) determine the extent of the coverage that IRS provides which demonstrates the importance of IRS placement problem. More specifically, locations, which determine whether BS-IRS and IRS-UE line of sight (LOS) links exist, and surface orientation, which determines whether the BS and UE are within the field of view (FoV) of the surface, play crucial roles in the quality of provided coverage. Moreover, another challenge is high computational complexity, since IRS placement problem is a combinatorial optimization, and is NP-hard. Identifying the orientation of the surface and LOS channel as two crucial factors, we propose an efficient IRS placement algorithm that takes these two characteristics into account in order to maximize the network coverage. We prove the submodularity of the objective function which establishes near-optimal performance bounds for the algorithm. Simulation results demonstrate the performance of the proposed algorithm in a real environment.
Date of Conference: 28 May 2023 - 01 June 2023
Date Added to IEEE Xplore: 23 October 2023
ISBN Information:
Electronic ISSN: 1938-1883
Conference Location: Rome, Italy

Funding Agency:


References

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