An intelligent-reflecting-surface aided multigroup multicast communication system is investigated in this paper. We develop energy-efficient designs for both the precoding matrix at the base station and passive reflec...
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An intelligent-reflecting-surface aided multigroup multicast communication system is investigated in this paper. We develop energy-efficient designs for both the precoding matrix at the base station and passive reflecting beamforming at intelligent-reflecting-surface, subject to the minimum signal-to-interference-plus-noise ratio constraint of each user and the unit-modulus constraint imposed by passive intelligent-reflecting-surface. This leads to a complex non-convex problem for which to tackle we propose two novel algorithms based on alternating optimization techniques. Specifically, one algorithm employs semi-definite relaxation to obtain the suboptimal reflection coefficient vector and suboptimal precoding vector for each group. In order to reduce the computational complexity, the second algorithm transforms this non-convex problem into two second-order cone programming problems. Numerical results show that intelligent-reflecting-surface can significantly reduce the power consumption of the base station.
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