[HTML][HTML] Cognitive D2D communication: A comprehensive survey, research challenges, and future directions

A Iqbal, A Nauman, R Hussain, M Bilal - Internet of Things, 2023 - Elsevier
The integration of cognitive radio and device-to-device (D2D) communication gives rise to
Cognitive D2D (cD2D) communication, which offers numerous advantages, such as …

Resource Allocation for Secure SWIPT-Enabled D2D Communications With Fairness

Y Xu, B Gu, D Li, Z Yang, C Huang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Device-to-device (D2D) communication is an emerging paradigm that can improve system
capacity and spectral efficiency by using cooperative communication coexisting with cellular …

Wireless-Powered Interference Networks: Applications, Approaches, and Challenges

K Lee, HH Choi, W Lee… - IEEE Vehicular …, 2023 - ieeexplore.ieee.org
Interference is usually regarded as a detrimental factor that must be avoided or suppressed
to achieve higher performance in traditional wireless communications. Wireless energy …

Game theoretic approach for multipriority data transmission in 5G vehicular networks

G Sun, L Sheng, L Luo, H Yu - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
The vehicle-to-vehicle (V2V) communication driven by the fifth generation (5G) cellular
mobile network with the features of ultra-high reliability and low latency provides promising …

Spectrum-efficient mode selection and fair resource allocation for D2D-enabled uplink/downlink MC-NOMA networks

A Gholamrezaee, H Farrokhi - Digital Signal Processing, 2023 - Elsevier
The application of device-to-device (D2D) communication and multi-carrier (MC) non-
orthogonal multiple access (NOMA) have been considered as promising technologies to …

On outage analysis in SWIPT enabled bidirectional D2D communications using spectrum sharing in cellular networks

S Ghosh, T Acharya, SP Maity - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This paper explores a model on cooperative cognitive radio network (CCRN) to enable the
in-band bidirectional device-to-device (D2D) communications by sharing the licensed …

Snowball: Energy efficient and accurate federated learning with coarse-to-fine compression over heterogeneous wireless edge devices

P Li, G Cheng, X Huang, J Kang, R Yu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Model update compression is a widely used technique to alleviate the communication cost
in federated learning (FL). However, there is evidence indicating that the compression …

Deep reinforcement learning-assisted energy harvesting wireless networks

J Ye, H Gharavi - IEEE transactions on green communications …, 2020 - ieeexplore.ieee.org
Heterogeneous ultra-dense networking (HUDN) with energy harvesting technology is a
promising approach to deal with the ever-growing traffic that can severely impact the power …

[HTML][HTML] Energy-efficient optimization for energy-harvesting-enabled mmwave-uav heterogeneous networks

J Zhang, G Chuai, W Gao - Entropy, 2022 - mdpi.com
Energy Harvesting (EH) is a promising paradigm for 5G heterogeneous communication. EH-
enabled Device-to-Device (D2D) communication can assist devices in overcoming the …

Transmission capacity analysis of relay-assisted D2D cellular networks with interference cancellation

OA Amodu, M Othman, NK Noordin, I Ahmad - Ad Hoc Networks, 2021 - Elsevier
D2D communication has been identified as one of the technologies for meeting the unique
traffic demands of the fifth-generation wireless network communication. However, the …