Energy efficient downlink resource allocation in cellular IoT supported H-CRANs

L Ferdouse, I Woungang, A Anpalagan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The cloud computing supported heterogeneous cloud radio access network (H-CRAN) is
one of the promising solutions to support cellular IoT devices with the legacy cellular …

Resource management in D2D communication: An optimization perspective

M Ahmad, M Azam, M Naeem, M Iqbal… - Journal of Network and …, 2017 - Elsevier
Abstract Device-to-device (D2D) Communication was primarily introduced to achieve the
fundamental goal of high data rates, ubiquitous coverage with low latency, energy efficiency …

Enhanced LTE device-to-device proximity services

SY Lien, CC Chien, GST Liu, HL Tsai… - IEEE …, 2016 - ieeexplore.ieee.org
Designated for public safety communications, device-to-device (D2D) proximity services
(ProSe) have emerged as one of the most innovative technologies in 3GPP Release 12 and …

Energy-efficient mobile association in heterogeneous networks with device-to-device communications

S Xiao, X Zhou, D Feng, Y Yuan-Wu… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
With device-to-device (D2D) communications, a user terminal can be used as a relay node
to support multi-hop transmission, so that cell-edge or deeply faded users can obtain a …

Energy efficiency in MIMO underlay and overlay device-to-device communications and cognitive radio systems

A Zappone, B Matthiesen… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper addresses the problem of resource allocation for systems in which a primary and
a secondary link share the available spectrum by an underlay or overlay approach. After …

Uncertainty injection: A deep learning method for robust optimization

W Cui, W Yu - IEEE Transactions on Wireless Communications, 2023 - ieeexplore.ieee.org
This paper proposes a paradigm of uncertainty injection for training deep learning model to
solve robust optimization problems. The majority of existing studies on deep learning focus …

A game-theoretic resource allocation approach for intercell device-to-device communications in cellular networks

J Huang, Y Yin, Y Zhao, Q Duan… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Device-to-device (D2D) communication is a recently emerged disruptive technology for
enhancing the performance of current cellular systems. To successfully implement D2D …

Resource allocation scheme in 5G network slices

M Dighriri, ASD Alfoudi, GM Lee… - 2018 32nd …, 2018 - ieeexplore.ieee.org
5G mobile network is predictable to assist flexible requirements henceforth dynamically
allocate network resources according to the demands. Network slicing, where network …

Enabling relay-assisted D2D communication for cellular networks: Algorithm and protocols

T Liu, JCS Lui, X Ma, H Jiang - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
Recently, there is a growing emphasis on device-to-device (D2D) communication, which is
the key component of the Internet-of-Things ecosystem. D2D communication can operate on …

Two-timescale resource allocation for cooperative D2D communication: A matching game approach

Y Yuan, T Yang, Y Hu, H Feng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we consider a cooperative device-to-device (D2D) communication system,
where the D2D transmitters (DTs) act as relays to assist the densified cellular network users …