Hybrid Precoding for Multi-Group Multicasting in mmWave Systems

@article{AbantoLeon2019HybridPF,
  title={Hybrid Precoding for Multi-Group Multicasting in mmWave Systems},
  author={Luis F. Abanto-Leon and Matthias Hollick and Gek Hong Sim},
  journal={2019 IEEE Global Communications Conference (GLOBECOM)},
  year={2019},
  pages={1-7}
}
Multicast beamforming is known to improve spectral efficiency. However, its benefits and challenges for hybrid precoders design in millimeter-wave (mmWave) systems remain understudied. To this end, this paper investigates the first joint design of hybrid transmit precoders (with an arbitrary number of finite-resolution phase shifts) and receive combiners for mmWave multi-group multicasting. Our proposed design leverages semidefinite relaxation (SDR), alternating optimization and Cholesky matrix… 
Learning-based Max-Min Fair Hybrid Precoding for mmWave Multicasting
TLDR
LB-GDM, a low-complexity learning-based approach that leverages gradient descent with momentum and alternating optimization to design fully-digital precoders attains superlative performance compared to competing designs based on semidefinite relaxation.
Max-Min Fair Hybrid Precoding for Multi-group Multicasting in Millimeter-Wave Channel
TLDR
The max-min fair problem is considered to design a low-complexity hybrid precoder for multi-group multicasting systems in mmWave channels to tackle and benefit from the mmWave channel structure.
Fairness-Aware Hybrid Precoding for mmWave NOMA Unicast/Multicast Transmissions in Industrial IoT
TLDR
This paper investigates dual-layer non-orthogonally superimposed transmissions for industrial internet of things (IoT) millimeter-wave communications and incorporates a power constraint between the two overlaid signals and enforce supplementary per-device constraints to guarantee multicast fairness.
6G Massive Radio Access Networks: Key Applications, Requirements and Challenges
Driven by the emerging use cases in massive access future networks, technological advancements and evolutions are needed for wireless communications beyond the fifth-generation (5G) networks. In
6G Massive Radio Access Networks: Key Issues, Technologies, and Future Challenges
TLDR
The key driving applications for 6G, including smart city and factory, which trigger the transformation of existing RAN techniques are outlined and several artificial-intelligence-based approaches to overcome future challenges are provided.
G Massive Radio Access Networks : Key Issues , Technologies , and Future Challenges
Driven by the emerging use cases in massive access future networks, there is a need for technological advancements and evolutions for wireless communications beyond the fifthgeneration (5G) networks.
HydraWave: Multi-group Multicast Hybrid Precoding and Low-Latency Scheduling for Ubiquitous Industry 4.0 mmWave Communications
TLDR
This work presents HYDRAWAVE — a new paradigm that contemplates the joint design of group scheduling and hybrid precoding for multi-group multicasting to support ubiquitous low-latency communications.

References

SHOWING 1-10 OF 22 REFERENCES
Hybrid Precoding Design in Millimeter Wave MIMO Systems: An Alternating Minimization Approach
TLDR
An alternating minimization algorithm based on manifold optimization is proposed to design the hybrid precoder, thereby making it comparable in performance to the digital precoders, and can achieve the optimal performance in certain cases.
Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems
TLDR
Analytical and simulation results show that the proposed techniques offer higher sum rates compared with analog-only beamforming solutions, and approach the performance of the unconstrained digital beamforming with relatively small codebooks.
Hybrid Precoding for Multi-Group Physical Layer Multicasting
TLDR
It is shown that in a multi-group multicasting system with an arbitrary number of transmit antennas, multicasting groups, and an arbitraryNumber of users in each group, one can achieve the performance of any fully-digital precoder with just $G$ radio frequency chains using the proposed hybrid multi- group multicasting structure.
Low-complexity hybrid analog/digital beamforming for multicast transmission in mmwave systems
TLDR
Simulation results show that the proposed hybrid analog and digital beamforming design problem for multi-group multicast transmission with a hybrid large-scale antenna array can achieve favorable performance with very low complexity compared with the state-of-art methods.
Hybrid Precoding for Physical Layer Multicasting
TLDR
This work proposes a low complexity algorithm to compute the RF precoder that achieves near-optimal max-min performance and derives a simple condition under which the hybrid precoding driven by a limited number of RF chains incurs no loss of optimality with respect to the fully digital precoding case.
Multi-group multicast beamforming for simultaneous wireless information and power transfer
TLDR
Simulation results show that the proposed solution is very close to the SDR lower bound and a few number of iterations are enough for the algorithm convergence.
Max–Min Fair Transmit Precoding for Multi-Group Multicasting in Massive MIMO
TLDR
The max–min fairness (MMF) problem is studied, where channel state information at the transmitter is used to design precoding vectors that maximize the minimum spectral efficiency (SE) of the system, given fixed power budgets for uplink training and downlink transmission.
Antenna Selection and Hybrid Beamforming for Simultaneous Wireless Information and Power Transfer in Multi-Group Multicasting Systems
TLDR
An efficient algorithm for antenna selection is developed by converting the original mixed integer programming problem into a continuous one and adapting feasible point pursuit-successive convex approximation and a new hybrid beamforming structure is presented for multi-group multicasting.
Transmit beamforming to multiple co-channel multicast groups
The problem of transmits beamforming to multiple co-channel multicast groups is considered, from the viewpoint of guaranteeing a prescribed minimum signal-to-interference-plus-noise-ratio (SENR) at
A Conic Quadratic Programming Approach to Physical Layer Multicasting for Large-Scale Antenna Arrays
TLDR
This work investigates the problem of downlink physical layer multicasting and proposes a provably convergent iterative second-order cone programming (SOCP) solution that offers improved power efficiency and a massively reduced computational complexity.
...
1
2
3
...