Evolution of NOMA toward next generation multiple access (NGMA) for 6G

Y Liu, S Zhang, X Mu, Z Ding, R Schober… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Due to the explosive growth in the number of wireless devices and diverse wireless
services, such as virtual/augmented reality and Internet-of-Everything, next generation …

Outage performance analysis of RSMA-aided semi-grant-free transmission systems

F Xiao, X Li, L Yang, H Liu… - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
In this paper, we analyze the outage performance of a rate-splitting multiple access (RSMA)-
aided semi-grant-free (SGF) transmission system, in which a grant-based user (GBU) and …

NOMA assisted semi-grant-free scheme for scheduling multiple grant-free users

X Bai, X Gu - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
Nonorthogonal multiple access (NOMA) assisted semi-grant-free (SGF) transmission is a
powerful solution to significantly reduce the end-to-end latency of data transmission and …

Rate splitting multiple access for semi-grant-free transmissions

H Liu, TA Tsiftsis, B Clerckx, KJ Kim, KS Kwak… - arXiv preprint arXiv …, 2021 - arxiv.org
Enabled by hybrid grant-based (GB) and grant-free (GF) transmission techniques, GF users
of internet of things (IoT) devices and massive machine-type communications (mMTC) meet …

Semi-Centralized Optimization for Energy Efficiency in IoT Networks With NOMA

A Alajmi, M Fayaz, W Ahsan… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
We propose a novel semi-centralized framework for Internet-of-Things (IoT) networks with
non-orthogonal multiple access to maximize the energy efficiency (EE) of two types of …

Throughput optimization for SGF-NOMA via distributed DRL with prioritized experience replay

M Fayaz, W Yi, Y Liu… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
In this paper, we propose a novel distributed resource allocation mechanism for semi-grant-
free non-orthogonal multiple access (SGF-NOMA) transmission to maximize the network …

On UAV Serving Nodes Trajectory Planning for Fast Localization in Forest Environment: A Multi-Agent DRL Approach

X Wang, L Wang, Z Liu, L Xu… - 2023 IEEE Wireless …, 2023 - ieeexplore.ieee.org
It is essential to locate the victims timely for efficient rescue after the disaster occurs in the
global positioning system (GPS) denied forest area due to the influence of the tree shading …

Cognitive Radio-Inspired Rate-Splitting Multiple Access for Semi-Grant-Free Transmissions

H Liu, KJ Kim, TA Tsiftsis, B Clerckx, KS Kwak… - arXiv preprint arXiv …, 2022 - arxiv.org
In this paper, we propose a cognitive radio-inspired rate-splitting multiple access (CR-
RSMA) scheme to assist semi-grant-free (SGF) transmissions in which a grant-based user …

Reinforcement learning empowered unmanned aerial vehicle assisted internet of things networks

SK Mahmud - 2023 - qmro.qmul.ac.uk
This thesis aims towards performance enhancement for unmanned aerial vehicles (UAVs)
assisted internet of things network (IoT). In this realm, novel reinforcement learning (RL) …

[PDF][PDF] Tandem RL framework for sum rate enhancement in NOMA-UAV network

SK Mahmud, Y Chen, KK Chai - Authorea Preprints, 2023 - techrxiv.org
Tandem RL Framework for Sum Rate Enhancement in NOMA-UAV Network Page 1 P osted
on 8 Aug 2020 — CC-BY 4.0 — h ttps://doi.org/10.36227/tech rxiv.20406972.v1 — e-Prin ts p …