Non Orthogonal Multiple Access

Non-orthogonal multiple access (NOMA) is a multiple access scheme allowing multiple users to share the same time, frequency, and/or spatial resources, aiming to improve spectral efficiency and connectivity compared to orthogonal methods. Current research heavily focuses on mitigating inter-user interference through techniques like successive interference cancellation, interference-aware modulation, and rate-splitting multiple access, often employing deep learning models (e.g., autoencoders, deep reinforcement learning) for optimal resource allocation and signal processing. NOMA's potential impact lies in enhancing the performance of various applications, including federated learning, machine-type communication, and beyond 5G/6G networks, by enabling more efficient use of scarce wireless resources.

Papers

September 30, 2024

Modulation and Coding for NOMA and RSMA
Hamid Jafarkhani, Hossein Maleki, Mojtaba Vaezi
Programming Assistance Digital Modulation Non Orthogonal Multiple Access Rate Splitting

April 20, 2024

A SER-based Device Selection Mechanism in Multi-bits Quantization Federated Learning
Pengcheng Sun, Erwu Liu, Rui Wang
Non Orthogonal Multiple Access Interference Cancellation Wireless Channel Device Selection Error Bit

March 12, 2024

Deep Learning-Assisted Parallel Interference Cancellation for Grant-Free NOMA in Machine-Type Communication
Yongjeong Oh, Jaehong Jo, Byonghyo Shim, Yo-Seb Jeon
Channel Estimation Non Orthogonal Multiple Access Interference Cancellation Coherence Aware

March 5, 2024

Rethinking Clustered Federated Learning in NOMA Enhanced Wireless Networks
Yushen Lin, Kaidi Wang, Zhiguo Ding
Convergence Rate Power Allocation Non Orthogonal Multiple Access FL Framework

January 16, 2024

Sum Throughput Maximization in Multi-BD Symbiotic Radio NOMA Network Assisted by Active-STAR-RIS
Rahman Saadat Yeganeh, Mohammad Javad Omidi, Farshad Zeinali, Mohammad Robat Mili, Mohammad Ghavami
Worst Case User Throughput Non Orthogonal Multiple Access Massive MIMO Symbiotic Transformer STAR Ri Backscatter Network

January 1, 2024

Communication-Efficient Federated Learning for LEO Satellite Networks Integrated with HAPs Using Hybrid NOMA-OFDM
Mohamed Elmahallawy, Tie Luo, Khaled Ramadan
Federated Edge Learning Non Orthogonal Multiple Access Low Earth Orbit Satellite Communication Satellite Terrestrial High Altitude Platform

December 26, 2023

High Efficiency Inference Accelerating Algorithm for NOMA-based Mobile Edge Computing
Xin Yuan, Ning Li, Tuo Zhang, Muqing Li, Yuwen Chen, Jose Fernan Martinez Ortega, Song Guo
Practical Algorithm Mobile Edge Computing Non Orthogonal Multiple Access Inference Strategy Model Splitting Reverse Inference Optimization

November 15, 2023

Joint User Pairing and Beamforming Design of Multi-STAR-RISs-Aided NOMA in the Indoor Environment via Multi-Agent Reinforcement Learning
Yu Min Park, Yan Kyaw Tun, Choong Seon Hong
Multi Agent Reinforcement Learning Indoor Environment Cellular Network Non Orthogonal Multiple Access Beamforming Design User Pairing

November 3, 2023

Client Orchestration and Cost-Efficient Joint Optimization for NOMA-Enabled Hierarchical Federated Learning
Bibo Wu, Fang Fang, Xianbin Wang, Donghong Cai, Shu Fu, Zhiguo Ding
Joint Optimization Hierarchical Federated Learning Non Orthogonal Multiple Access Convergence Orchestration Edge Server Scheduling

October 4, 2023

Semi-Federated Learning: Convergence Analysis and Optimization of A Hybrid Learning Framework
Jingheng Zheng, Wanli Ni, Hui Tian, Deniz Gunduz, Tony Q. S. Quek, Zhu Han
Optimization Purpose Semi Supervised Convergence Analysis Adaptive Beamforming Centralized Learning Non Orthogonal Multiple Access Hybrid Machine Learning

August 28, 2023

Deep Reinforcement Learning for Uplink Scheduling in NOMA-URLLC Networks
Benoît-Marie Robaglia, Marceau Coupechoux, Dimitrios Tsilimantos
Deep Reinforcement Learning Non Orthogonal Multiple Access Multiple Access Uplink Control

August 9, 2023

Wirelessly Powered Federated Learning Networks: Joint Power Transfer, Data Sensing, Model Training, and Resource Allocation
Mai Le, Dinh Thai Hoang, Diep N. Nguyen, Won-Joo Hwang, Quoc-Viet Pham
Federated Learning Resource Allocation Model Training Human Sensing Power Allocation Non Orthogonal Multiple Access Mobile Crowdsensing Joint Power

June 23, 2023

A Weighted Autoencoder-Based Approach to Downlink NOMA Constellation Design
Vukan Ninkovic, Dejan Vukobratovic, Adriano Pastore, Carles Anton-Haro
Autoencoder Based Non Orthogonal Multiple Access Decoder Network Downlink Communication AE Based

May 1, 2023

AI-based Radio and Computing Resource Allocation and Path Planning in NOMA NTNs: AoI Minimization under CSI Uncertainty
Maryam Ansarifard, Nader Mokari, Mohammadreza Javan, Hamid Saeedi, Eduard A. Jorswieck
Unmanned Aerial Vehicle Channel State Information Non Orthogonal Multiple Access Age of Information

April 18, 2023

Joint Age-based Client Selection and Resource Allocation for Communication-Efficient Federated Learning over NOMA Networks
Bibo Wu, Fang Fang, Xianbin Wang
Resource Allocation Client Selection Joint Optimization Joint Framework Non Orthogonal Multiple Access

April 11, 2023

Active RIS-aided EH-NOMA Networks: A Deep Reinforcement Learning Approach
Zhaoyuan Shi, Huabing Lu, Xianzhong Xie, Helin Yang, Chongwen Huang, Jun Cai, Zhiguo Ding
Generating User Activity Deep Reinforcement Learning Approach Non Orthogonal Multiple Access Reconfigurable Intelligent Surface Downlink Communication

March 12, 2023

Non-Orthogonal Multiple Access Enhanced Multi-User Semantic Communication
Weizhi Li, Haotai Liang, Chen Dong, Xiaodong Xu, Ping Zhang, Kaijun Liu
Semantic Communication Semantic Communication System Non Orthogonal Multiple Access Semantic Transmission Orthogonal Multiple Access

March 11, 2023

Deep Reinforcement Learning Based Power Allocation for Minimizing AoI and Energy Consumption in MIMO-NOMA IoT Systems
Hongbiao Zhu, Qiong Wu, Qiang Fan, Pingyi Fan, Jiangzhou Wang, Zhengquan Li
Energy Consumption Power Allocation Non Orthogonal Multiple Access Age of Information

February 13, 2023

Multi-Carrier NOMA-Empowered Wireless Federated Learning with Optimal Power and Bandwidth Allocation
Weicai Li, Tiejun Lv, Yashuai Cao, Wei Ni, Mugen Peng
Federated Learning Non Orthogonal Multiple Access Consistent Aggregation Bandwidth Allocation Optimal Power

January 12, 2023

Multi-Power Level $Q$-Learning Algorithm for Random Access in NOMA mMTC Systems
Giovanni Maciel Ferreira Silva, Taufik Abrão
Practical Algorithm Signal to Noise Ratio Non Orthogonal Multiple Access Random Access Massive Machine Type Communication

Non Orthogonal Multiple Access

Papers

Modulation and Coding for NOMA and RSMA

A SER-based Device Selection Mechanism in Multi-bits Quantization Federated Learning

Deep Learning-Assisted Parallel Interference Cancellation for Grant-Free NOMA in Machine-Type Communication

Rethinking Clustered Federated Learning in NOMA Enhanced Wireless Networks

Sum Throughput Maximization in Multi-BD Symbiotic Radio NOMA Network Assisted by Active-STAR-RIS

Communication-Efficient Federated Learning for LEO Satellite Networks Integrated with HAPs Using Hybrid NOMA-OFDM

High Efficiency Inference Accelerating Algorithm for NOMA-based Mobile Edge Computing

Joint User Pairing and Beamforming Design of Multi-STAR-RISs-Aided NOMA in the Indoor Environment via Multi-Agent Reinforcement Learning

Client Orchestration and Cost-Efficient Joint Optimization for NOMA-Enabled Hierarchical Federated Learning

Semi-Federated Learning: Convergence Analysis and Optimization of A Hybrid Learning Framework

Deep Reinforcement Learning for Uplink Scheduling in NOMA-URLLC Networks

Wirelessly Powered Federated Learning Networks: Joint Power Transfer, Data Sensing, Model Training, and Resource Allocation

A Weighted Autoencoder-Based Approach to Downlink NOMA Constellation Design

AI-based Radio and Computing Resource Allocation and Path Planning in NOMA NTNs: AoI Minimization under CSI Uncertainty

Joint Age-based Client Selection and Resource Allocation for Communication-Efficient Federated Learning over NOMA Networks

Active RIS-aided EH-NOMA Networks: A Deep Reinforcement Learning Approach

Non-Orthogonal Multiple Access Enhanced Multi-User Semantic Communication

Deep Reinforcement Learning Based Power Allocation for Minimizing AoI and Energy Consumption in MIMO-NOMA IoT Systems

Multi-Carrier NOMA-Empowered Wireless Federated Learning with Optimal Power and Bandwidth Allocation

Multi-Power Level $Q$-Learning Algorithm for Random Access in NOMA mMTC Systems