Survey on machine learning for intelligent end-to-end communication toward 6G: From network access, routing to traffic control and streaming adaption
The end-to-end quality of service (QoS) and quality of experience (QoE) guarantee is quite
important for network optimization. The current 5G and conceived 6G network in the future …
important for network optimization. The current 5G and conceived 6G network in the future …
Application placement in Fog computing with AI approach: Taxonomy and a state of the art survey
ZM Nayeri, T Ghafarian, B Javadi - Journal of Network and Computer …, 2021 - Elsevier
With the increasing use of the Internet of Things (IoT) in various fields and the need to
process and store huge volumes of generated data, Fog computing was introduced to …
process and store huge volumes of generated data, Fog computing was introduced to …
Only those requested count: Proactive scheduling policies for minimizing effective age-of-information
Motivated by the increasingly urgent demands for delivering fresh information, the age-of-
information (AoI) has recently been introduced as an important metric for evaluating the …
information (AoI) has recently been introduced as an important metric for evaluating the …
Decoupling or learning: Joint power splitting and allocation in MC-NOMA with SWIPT
Non-orthogonal multiple access (NOMA) is one of the most significant technologies to meet
the demand of high spectral efficiency (SE) in the fifth generation (5G) cellular networks. The …
the demand of high spectral efficiency (SE) in the fifth generation (5G) cellular networks. The …
Learning to solve network flow problems via neural decoding
Many decision-making problems in engineering applications such as transportation, power
system and operations research require repeatedly solving large-scale linear programming …
system and operations research require repeatedly solving large-scale linear programming …
A machine learning solution for beam tracking in mmWave systems
Utilizing millimeter-wave (mmWave) frequencies for wireless communication in mobile
systems is challenging since it requires continuous tracking of the beam direction. Recently …
systems is challenging since it requires continuous tracking of the beam direction. Recently …
Communication resource allocation of raft in wireless network
The distributed consensus intends to improve the reliability of critical decision making in
wireless connected autonomous systems. The performance of distributed consensus heavily …
wireless connected autonomous systems. The performance of distributed consensus heavily …
A novel approach to efficient resource allocation in load-balanced cellular networks using hierarchical DRL
AM Rahimi, A Ziaeddini, S Gonglee - Journal of Ambient Intelligence and …, 2022 - Springer
Abstract 5G wireless networks require highly spectral-efficient multiple access techniques,
which play an important role in determining the performance of mobile communication …
which play an important role in determining the performance of mobile communication …
Deep learning framework for secure communication with an energy harvesting receiver
In this paper, we consider wireless-powered secure communication with an energy
harvesting receiver, which is allowed to harvest energy from the transmitted signals but not …
harvesting receiver, which is allowed to harvest energy from the transmitted signals but not …
SensorRank: An Energy Efficient Sensor Activation Algorithm for Sensor Data Fusion in Wireless Networks
N Nesa, I Banerjee - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
Energy conservation is a challenging concern with the growing advancement in wireless
technologies and is currently one of the attractive issues among researchers working in the …
technologies and is currently one of the attractive issues among researchers working in the …