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Intelligent reflecting surface (IRS) has been considered as a revolutionarytechnology to enhance the wireless communication performance. To cater formultiple mobile users, adjusting IRS beamforming patterns over time, i.e.,dynamic IRS beamforming (DIBF), is generally needed for achieving satisfactoryperformance, which results in high controlling power consumption and overhead.To avoid such cost, we propose a new architecture based on the static regulatedIRS for wireless coverage enhancement, where the principle of distributedmultiple-input multiple-output (D-MIMO) is integrated into the system toexploite the diversity of spatial directions provided by multiple access points(APs). For this new D-MIMO empowered static IRS architecture, the total targetarea is partitioned into several subareas and each subarea is served by anassigned AP. We consider to maximize the worst-case received power over alllocations in the target area by jointly optimizing a single set of IRSbeamforming pattern and AP-subarea association. Then, a two-step algorithm isproposed to obtain its high-quality solution. Theoretical analysis unveils thatthe fundamental squared power gain can still be achieved over all locations inthe target area. The performance gap relative to the DIBF scheme is alsoanalytically quantified. Numerical results validate our theoretical findingsand demonstrate the effectiveness of our proposed design over benchmarkschemes.

Static IRS Meets Distributed MIMO: A New Architecture for Dynamic Beamforming