Secrecy offloading rate maximization for multi-access mobile edge computing networks
M Zhao, H Bao, L Yin, J Yao… - IEEE Communications …, 2021 - ieeexplore.ieee.org
This letter considers a multi-access mobile edge computing (MEC) network consisting of
multiple users, multiple base stations, and a malicious eavesdropper. Specifically, the users …
multiple users, multiple base stations, and a malicious eavesdropper. Specifically, the users …
Green federated learning over cloud-ran with limited fronthual capacity and quantized neural networks
In this paper, we propose an energy-efficient federated learning (FL) framework for the
energy-constrained devices over cloud radio access network (Cloud-RAN), where each …
energy-constrained devices over cloud radio access network (Cloud-RAN), where each …
User association and power allocation for user-centric smart-duplex networks via tree-structured deep reinforcement learning
This article considers a smart-duplex (SD) powered user-centric ultra dense networks (UC-
UDNs), where each user is served cooperatively by multiple access points (APs) adopting …
UDNs), where each user is served cooperatively by multiple access points (APs) adopting …
Joint subcarrier assignment and power allocation for OFDMA full duplex distributed antenna systems
Z Liu, S Feng - IEEE Transactions on Vehicular Technology, 2021 - ieeexplore.ieee.org
In this paper, we investigate the resource allocation scheme for orthogonal frequency
division multiple access (OFDMA) full-duplex (FD) distributed antenna systems (DASs), in …
division multiple access (OFDMA) full-duplex (FD) distributed antenna systems (DASs), in …
Delay aware resource allocation with radio remote head cooperation in user-centric C-RAN
High spectral efficiency and low latency are required to provide ubiquitous communication
for the emerging applications in 5G wireless communication networks. In this letter, we …
for the emerging applications in 5G wireless communication networks. In this letter, we …
Unsupervised deep learning approach for near optimal power allocation in CRAN
The cloud radio access network (CRAN) is a promising architecture that can face the hard
challenges imposed on next cellular generations. However, the high computational …
challenges imposed on next cellular generations. However, the high computational …
Globally optimal resource allocation and time scheduling in downlink cognitive CRAN favoring big data requests
M Bigdeli, S Farahmand, B Abolhassani… - IEEE …, 2022 - ieeexplore.ieee.org
This paper is concerned with a cognitive cloud radio access network (CRAN) with a special
attention to efficient and reliable downlink transmission of big data for secondary users …
attention to efficient and reliable downlink transmission of big data for secondary users …
Offline and real-time deadline-aware scheduling and resource allocation algorithms favoring big data transmission over cognitive CRANs
M Bigdeli, B Abolhassani, S Farahmand… - IEEE …, 2023 - ieeexplore.ieee.org
Big data is generated from various sources, such as the Internet of things, social media,
databases, wearables, smart cars, and so on, and is characterized by five V's: volume, value …
databases, wearables, smart cars, and so on, and is characterized by five V's: volume, value …
Elastic resource provisioning for increased energy efficiency and resource utilization in Cloud-RANs
Abstract Distributed Radio Access Networks (D-RANs), characterized by static deployment
of Base Stations (BSs), are facing critical difficulties in handling the temporal and …
of Base Stations (BSs), are facing critical difficulties in handling the temporal and …
Graph Neural Networks Approach for Joint Wireless Power Control and Spectrum Allocation
The proliferation of wireless technologies and the escalating performance requirements of
wireless applications have led to diverse and dynamic wireless environments, presenting …
wireless applications have led to diverse and dynamic wireless environments, presenting …