Achievable rate maximization by passive intelligent mirrors

Chongwen Huang (1) , Alessio Zappone (2, 3) , Merouane Debbah (2, 3, 4) , Chau Yuen (1)

1 SUTD - Singapore University of Technology and Design
2 L2S - Laboratoire des signaux et systèmes
3 LANEAS - Large Networks and Systems Group
4 Mathematical and Algorithmic Sciences Lab [Paris]

This paper investigates the use of a Passive Intelligent Mirrors (PIM) to operate a multiuser MISO downlink communication. The transmit powers and the mirror reflection coefficients are designed for sum-rate maximization subject to individual QoS guarantees to the mobile users. The resulting problem is non-convex, and is tackled by combining alternating maximization with the majorization-minimization method. Numerical results show the merits of the proposed approach, and in particular that the use of PIM increases the system throughput by at least 40%, without requiring any additional energy consumption.

Mots clés: passive intelligent mirrors; non-convex optimization; majorization-minimization; Index Terms-Multi-user MIMO

Domaines: Sciences de l'ingénieur [physics]

Chongwen Huang, Alessio Zappone, Merouane Debbah, Chau Yuen. Achievable rate maximization by passive intelligent mirrors. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), Apr 2018, Calgary, Canada. ⟨10.1109/icassp.2018.8461496⟩. ⟨hal-01915870⟩