Max-Min Fair Hybrid Precoding for Multi-group Multicasting in Millimeter-Wave Channel
Fawwaz Alsubaie

TL;DR
This paper proposes a low-complexity hybrid precoding method for multi-group multicasting in mmWave channels, addressing non-convex optimization challenges and hardware constraints to improve fairness among users.
Contribution
It introduces a novel hybrid precoder design that maximizes minimum user matching components and efficiently solves the max-min fairness problem in mmWave multi-group multicasting.
Findings
Effective hybrid precoding design for mmWave channels.
Enhanced fairness among user groups.
Reduced computational complexity compared to fully digital solutions.
Abstract
The potential of using millimeter-wave (mmWave) to encounter the current bandwidth shortage has motivated packing more antenna elements in the same physical size which permits the advent of massive multiple-input-multiple-output (MIMO) for mmWave communication. However, with increasing number of antenna elements, the ability of allocating a single RF-chain per antenna becomes infeasible and unaffordable. As a cost-effective alternative, the design of hybrid precoding has been considered where the limited-scattering signals are captured by a high-dimensional RF precoder realized by an analog phase-shifter network followed by a low-dimensional digital precoder at baseband. In this paper, the max-min fair problem is considered to design a low-complexity hybrid precoder for multi-group multicasting systems in mmWave channels. The problem is non-trivial due to two main reasons: the original…
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Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Advanced MIMO Systems Optimization · Microwave Engineering and Waveguides
