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      SWIPT with Intelligent Reflecting Surfaces under Spatial Correlation

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          Abstract

          Intelligent reflecting surfaces (IRSs) can be beneficial to both information and energy transfer, due to the gains achieved by their multiple elements. In this work, we deal with the impact of spatial correlation between the IRS elements, in the context of simultaneous wireless information and power transfer. The performance is evaluated in terms of the average harvested energy and the outage probability for random and equal phase shifts. Closed-form analytical expressions for both metrics under spatial correlation are derived. Moreover, the optimal case is considered when the elements are uncorrelated and fully correlated. In the uncorrelated case, random and equal phase shifts provide the same performance. However, the performance of correlated elements attains significant gains when there are equal phase shifts. Finally, we show that correlation is always beneficial to energy transfer, whereas it is a degrading factor for information transfer under random and optimal configurations.

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          Author and article information

          Journal
          01 June 2021
          Article
          2106.00771
          d11367e7-5b77-45c2-a4f4-be5566473791

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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          Custom metadata
          IEEE Wireless Communications Letters
          cs.IT eess.SP math.IT

          Numerical methods,Information systems & theory,Electrical engineering
          Numerical methods, Information systems & theory, Electrical engineering

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