Semi-federated learning: Convergence analysis and optimization of a hybrid learning framework
Under the organization of the base station (BS), wireless federated learning (FL) enables
collaborative model training among multiple devices. However, the BS is merely responsible …
collaborative model training among multiple devices. However, the BS is merely responsible …
Energy-efficient resource allocation for NOMA HetNets in millimeter wave communications
AJ Muhammed, H Chen, AM Seid… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The integration of millimeter-wave (mmWave) and non-orthogonal multiple access (NOMA)
has attracted academic and industrial interest as a promising enabling approach due to their …
has attracted academic and industrial interest as a promising enabling approach due to their …
NOMA beamforming in SDMA networks: Riding on existing beams or forming new ones?
Z Ding - IEEE Communications Letters, 2022 - ieeexplore.ieee.org
In this letter, the design of non-orthogonal multiple access (NOMA) beamforming is
investigated in a spatial division multiple access (SDMA) legacy system. In particular, two …
investigated in a spatial division multiple access (SDMA) legacy system. In particular, two …
Joint user clustering, beamforming, and power allocation for mmWave-NOMA with imperfect SIC
This paper investigates the framework of cross-entropy (CE) based clustering and
beamforming for mmWave-non-orthogonal multiple access (NOMA) system taking into …
beamforming for mmWave-non-orthogonal multiple access (NOMA) system taking into …
Machine learning-empowered beam management for mmwave-NOMA in multi-UAVs networks
We consider a mission-driven multiple unmanned aerial vehicles (multi-UAVs) network with
millimeter-wave (mmWave) transmissions, where a leader UAV (LUAV) communicates with …
millimeter-wave (mmWave) transmissions, where a leader UAV (LUAV) communicates with …
User clustering and power allocation for massive MIMO with NOMA-inspired cognitive radio
M Shili, M Hajjaj, ML Ammari - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
This paper proposes a massive multiple-input multiple-output (MIMO) non-orthogonal
multiple access (NOMA) system based on cognitive radio (CR) networks. To reduce the …
multiple access (NOMA) system based on cognitive radio (CR) networks. To reduce the …
Modified user grouping and hybrid precoding for information decoding and energy harvesting in hardware impaired point-to-point MM-wave massive MIMO NOMA
WM Audu, OO Oyerinde - IEEE Access, 2023 - ieeexplore.ieee.org
The fifth generation (5G) and beyond 5G race covers both spectral-efficient and energy-
efficient mechanisms such as simultaneous wireless information decoding and energy …
efficient mechanisms such as simultaneous wireless information decoding and energy …
RIS Selection and Design over Computable Channels in Massive MIMO mmWave Systems
W Li, M Wang, H Zhu, Y Tian - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As an attractive technology in multiple input multiple output (MIMO) systems, reconfigurable
intelligent surface (RIS) can improve spectrum efficiency by reshaping the wireless …
intelligent surface (RIS) can improve spectrum efficiency by reshaping the wireless …
Rate splitting-based hybrid beamforming for multi-user downlink cellular networks
SH Chae, HW Kim, HJ Park… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
We study a new rate splitting (RS)-based hybrid beamforming scheme for multi-user
downlink cellular networks in which the base station having a hybrid beamforming structure …
downlink cellular networks in which the base station having a hybrid beamforming structure …
Hybrid Precoding-based millimeter wave massive MIMO-NOMA systems
Z Zhu, H Deng, F Xu, W Zhang, G Liu, Y Zhang - Symmetry, 2022 - mdpi.com
A symmetry-based hybrid precoder and combiner is a high spectral efficiency structure in
millimeter-wave (mmWave) massive multiple-input multiple-output (mMIMO) non-orthogonal …
millimeter-wave (mmWave) massive multiple-input multiple-output (mMIMO) non-orthogonal …