Modeling queuing delay of 5g nr with noma under sinr outage constraint
In this paper, we present an analytical model to characterize the average queuing delay for
non-orthogonal multiple access (NOMA) downlink system by taking the outage event into …
non-orthogonal multiple access (NOMA) downlink system by taking the outage event into …
Energy-efficient power allocation in downlink multi-cell multi-carrier NOMA: Special deep neural network framework
Energy-efficient resource allocation for multi-cell multi-carrier non-orthogonal multiple
access (MCMC-NOMA) is a challenging task due to the interference and other related …
access (MCMC-NOMA) is a challenging task due to the interference and other related …
Age-optimal power allocation scheme for NOMA-based S-IoT downlink network
In this paper, we consider a non-orthogonal multiple access (NOMA)-based satellite-
integrated internet of things (S-IoT) network, where a satellite transmits timely status updates …
integrated internet of things (S-IoT) network, where a satellite transmits timely status updates …
Machine Learning and Deep Learning powered satellite communications: Enabling technologies, applications, open challenges, and future research directions
A Bhattacharyya, SM Nambiar, R Ojha… - … Journal of Satellite …, 2023 - Wiley Online Library
The recent wave of creating an interconnected world through satellites has renewed interest
in satellite communications. Private and government‐funded space agencies are making …
in satellite communications. Private and government‐funded space agencies are making …
A Q-learning-based resource allocation for downlink non-orthogonal multiple access systems considering QoS
Q Zhai, M Bolić, Y Li, W Cheng, C Liu - IEEE Access, 2021 - ieeexplore.ieee.org
As a technology that can accommodate more users and significantly improve spectral
efficiency, non-orthogonal multiple access (NOMA) has attracted the attention of many …
efficiency, non-orthogonal multiple access (NOMA) has attracted the attention of many …
Outage-capacity-based cross layer resource management for downlink NOMA-OFDMA video communications: Non-deep learning and deep learning approaches
SM Tseng, CS Tsai, CY Yu - IEEE Access, 2020 - ieeexplore.ieee.org
Prior works either considered outage capacity of wireless video transmission systems but
did not consider NOMA which is a key technology for 5G ultra-reliable low-latency (URLLC) …
did not consider NOMA which is a key technology for 5G ultra-reliable low-latency (URLLC) …
Dual-DNN assisted optimization for efficient resource scheduling in NOMA-enabled satellite systems
In this paper, we apply non-orthogonal multiple access (NOMA) in satellite systems to assist
data transmission for services with latency constraints. We investigate a problem to minimize …
data transmission for services with latency constraints. We investigate a problem to minimize …
Enhancing the reliability of communication between vehicle and everything (V2X) based on deep learning for providing efficient road traffic information
Developing efficient communication between vehicles and everything (V2X) is a challenging
task, mainly due to the characteristics of vehicular networks, which include rapid topology …
task, mainly due to the characteristics of vehicular networks, which include rapid topology …
Task Offloading and Resource Allocation for Fog Computing in NG Wireless Networks: A Federated Deep Reinforcement Learning Approach
Task offloading is beneficial to reducing the delay and energy consumption for the prosperity
of the applications in Next Generation (NG) wireless networks. However, existing task …
of the applications in Next Generation (NG) wireless networks. However, existing task …