Distributed machine learning (ML) algorithms are imperative for the next-generation Internet
of Things (IoT) networks, thanks to preserving the privacy of users' data and efficient usage …

To enable an intelligent, programmable and multi-vendor radio access network (RAN) for 6G
networks, considerable efforts have been made in standardization and development of open …

The recent adoption of virtualized technologies in Next Generation Radio Access Network
(NG-RAN) has driven a significant impact on energy consumption by subsequently …

In this paper, we leverage reinforcement learning (RL) and cross-layer network coding
(CLNC) for efficiently pre-fetching requested contents to the local caches and delivering …

The device-to-device communication-aided fog radio access network, referred to as D2D-
aided F-RAN, takes advantage of caching at enhanced remote radio heads (eRRHs) and …

Fog radio access networks (F-RANs) have recently been postulated as an innovative
solution to improve the fronthaul capacities of cloud base stations (CBSs). This architecture …

Cloud radio access networks (C-RANs) are promising paradigms for the fifth-generation
(5G) networks due to their interference management capabilities. In a C-RAN, a central …

Rate-splitting multiple access (RSMA) and reinforcement-learning (RL) based user
clustering are leveraged to manage interference of a downlink fog radio access network. In …

The traditional instantly decodable network coding (IDNC) schemes discard the non-
instantly decodable packets (NIDPs), which results in the loss of useful information. In this …

Buffered instantly decodable network coding (B-IDNC) can cache the non-instantly
decodable network packets (NIDPs) containing two wanted packets for subsequent network …