Reliable transmission for NOMA systems with randomly deployed receivers
Non-orthogonal multiple access (NOMA) is regarded as a promising technology in achieving
high capacity and massive connectivity. In this paper, the reliable transmission scheme of …
high capacity and massive connectivity. In this paper, the reliable transmission scheme of …
The Road to Next-Generation Multiple Access: A 50-Year Tutorial Review
The evolution of wireless communications has been significantly influenced by remarkable
advancements in multiple access (MA) technologies over the past five decades, shaping the …
advancements in multiple access (MA) technologies over the past five decades, shaping the …
A multi-agent reinforcement learning approach for massive access in NOMA-URLLC networks
H Han, X Jiang, W Lu, W Zhai, Y Li… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Ultra-reliable low-latency communication (URLLC) enables diverse applications with
rigorous latency and reliability requirements. To provide a wide range of services, the future …
rigorous latency and reliability requirements. To provide a wide range of services, the future …
Joint power allocation and blocklength assignment for reliability optimization in CA-enabled HetNets
L Yang, J Jia, J Chen, X Wang - Peer-to-Peer Networking and Applications, 2024 - Springer
Heterogeneous cellular networks (HetNets) are widely recognized as representing the future
development trend of networks and provide architectural support for the emergence of many …
development trend of networks and provide architectural support for the emergence of many …
Adaptive Data Transmission and Computing for Vehicles in the Internet-of-Intelligence
Efficient scheduling of vehicle resources is of great significance to guarantee vehicle safety
and to achieve a higher level of automated driving. Considering the performance …
and to achieve a higher level of automated driving. Considering the performance …
Optimization of Energy Efficiency for Uplink mURLLC Over Multiple Cells Using Cooperative Multi-Agent Reinforcement Learning
Q Song, FC Zheng, J Luo - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Multiagent reinforcement learning (RL) has recently been adopted to solve massive
ultrareliable and low-latency communications (mURLLC) energy efficiency (EE) optimization …
ultrareliable and low-latency communications (mURLLC) energy efficiency (EE) optimization …
Min-max Decoding Error Probability Optimization in RIS-Aided Hybrid TDMA-NOMA Networks
One of the primary objectives for future wireless communication networks is to facilitate the
provision of ultra-reliable and low-latency communication services while simultaneously …
provision of ultra-reliable and low-latency communication services while simultaneously …
Deep Reinforcement Learning for Uplink Scheduling in NOMA-URLLC Networks
This article addresses the problem of Ultra Reliable Low Latency Communications (URLLC)
in wireless networks, a framework with particularly stringent constraints imposed by many …
in wireless networks, a framework with particularly stringent constraints imposed by many …
Resource allocation in paired users: Optimization‐assisted user grouping for fairness improvement of NOMA
ABV Louis, GA Dalton - International Journal of Communication …, 2024 - Wiley Online Library
The solution of resource allocation is based on NOMA and OMA structures that are
suboptimal to satisfy the demanding QoS and higher data rate requirements compared to EE …
suboptimal to satisfy the demanding QoS and higher data rate requirements compared to EE …
Reinforcement Learning for Uncoordinated Multiple Access
BM Robaglia - 2024 - theses.hal.science
Distributed Medium Access Control (MAC) protocols are fundamental in wireless
communication, yet traditional random access-based protocols face significant limitations …
communication, yet traditional random access-based protocols face significant limitations …