The dynamicity of available resources and network conditions, such as channel capacity
and traffic characteristics, have posed major challenges to scheduling in wireless networks …

The efficient scheduling of transmission links in a wireless network with a certain
optimization objective and subject to the interference and network flow constraints plays a …

In this paper, we investigate the problem of scheduling and resource allocation over a time
varying set of clients with heterogeneous demands. This problem appears when service …

Integrating artificial intelligence (AI) into wireless networks has drawn significant interest in
both industry and academia. A common solution is to replace partial or even all modules in …

This paper addresses the problem of scheduling real-time wireless flows with general traffic
patterns in dynamic network conditions. The main goal is to maximize the fraction of packets …

This paper aims at developing a learning-based framework for MAC sleep–listen–transmit
scheduling in wireless networks. The Reinforcement Learning-based paradigm is shown to …

In wireless networks, context awareness and intelligence are capabilities that enable each
host to observe, learn, and respond to its complex and dynamic operating environment in an …

This study takes on the challenge of learning and scheduling in a Multi-Hop Wireless
Network (MHWN) without having any prior knowledge of connection charges. Earlier …

This paper studies a scheduling problem in wireless network systems which have
combinatorial and time-varying properties. Although studies on efficient scheduling …

We address the joint problem of learning and scheduling in multi-hop wireless network
without a prior knowledge on link rates. Previous scheduling algorithms need the link rate …