Orthogonal and Non-Orthogonal Multiple Access for Intelligent Reflection
Surface in 6G Systems
Abstract
Intelligent reflecting surface (IRS) is envisioned to become a key
technology for the upcoming six-generation (6G) wireless system due to
its potential of reaping high performance in a power-efficient and
cost-efficient way. With its disruptive capability and hardware
constraint, the integration of IRS imposes some fundamental
particularities on the coordination of multi-user signal transmission.
Consequently, the conventional orthogonal and non-orthogonal
multiple-access schemes are hard to directly apply because of the joint
optimization of active beamforming at the base station and passive
reflection at the IRS. Relying on an alternating optimization method,
we develop novel schemes for efficient multiple access in IRS-aided
multi-user multi-antenna systems in this paper. Achievable performance
in terms of the sum spectral efficiency is theoretically analyzed. A
comprehensive comparison of different schemes and configurations is
conducted through Monte-Carlo simulations to clarify which scheme is
favorable for this emerging 6G paradigm.