[HTML][HTML] Multimedia communication over cognitive radio networks from QoS/QoE perspective: A comprehensive survey
The stringent requirements of wireless multimedia transmission lead to very high radio
spectrum solicitation. Although the radio spectrum is considered as a scarce resource, the …
spectrum solicitation. Although the radio spectrum is considered as a scarce resource, the …
Access and radio resource management for IAB networks using deep reinforcement learning
MM Sande, MC Hlophe, BT Maharaj - IEEE Access, 2021 - ieeexplore.ieee.org
Congestion in dense traffic networks is a prominent obstacle towards realizing the
performance requirements of 5G new radio. Since traditional adaptive traffic signal control …
performance requirements of 5G new radio. Since traditional adaptive traffic signal control …
Graph-based multi-view learning for cooperative spectrum sensing
This paper concerns the cooperative spectrum sensing (CSS) for cognitive radio (CR)
networks, where the secondary users (SUs) collaborate to detect the presence of the primary …
networks, where the secondary users (SUs) collaborate to detect the presence of the primary …
Graph neural network based interference estimation for device-to-device wireless communications
This paper concerns interference estimation problem for device-to-device (D2D)
communication networks. In the considered system, D2D users share common spectrum …
communication networks. In the considered system, D2D users share common spectrum …
Reinforcement learning for channel and radio allocations to wireless backhaul links
J Liman, LH Yen - 2022 23rd Asia-Pacific Network Operations …, 2022 - ieeexplore.ieee.org
WMN's mesh access points (MAPs) are linked through a wireless backhaul network that
consist of mesh points (MPs) that is equipped with multiple radios that use multiple non …
consist of mesh points (MPs) that is equipped with multiple radios that use multiple non …
Dynamic spectrum access for femtocell networks: A graph neural network based learning approach
This paper concerns the dynamic spectrum access problem for femtocell networks, where
traffic loads are different among cells. We model the interference relationship of the femtocell …
traffic loads are different among cells. We model the interference relationship of the femtocell …
Multi-view semi-supervised learning for cooperative spectrum sensing
Cooperative spectrum sensing (CSS) for cognitive radio networks (CRN) emerged to
enhance the utilization of the frequency bands. CSS has multiple collaborated secondary …
enhance the utilization of the frequency bands. CSS has multiple collaborated secondary …
[PDF][PDF] QoE Perspective; A Comprehensive Survey
MJ Piran - Authorea Preprints, 2023 - techrxiv.org
The stringent requirements of wireless multimedia transmission lead to very high radio
spectrum solicitation. Although the radio spectrum is considered as a scarce resource, the …
spectrum solicitation. Although the radio spectrum is considered as a scarce resource, the …
Resource Management and Backhaul Routing in Millimeter-Wave IAB Networks Using Deep Reinforcement Learning
MM Sande - 2023 - repository.up.ac.za
The increased densification of wireless networks has led to the development of integrated
access and backhaul (IAB) networks. In this thesis, deep reinforcement learning was applied …
access and backhaul (IAB) networks. In this thesis, deep reinforcement learning was applied …
[PDF][PDF] Energy efficient deep spiking recurrent neural networks: A reservoir computing-based approach
K Hamedani - 2020 - vtechworks.lib.vt.edu
Recurrent neural networks (RNNs) have been widely used for supervised pattern
recognition and exploring the underlying spatio-temporal correlation. However, due to the …
recognition and exploring the underlying spatio-temporal correlation. However, due to the …