The framework of cognitive wireless networks is expected to endow the wireless devices
with the cognition-intelligence ability with which they can efficiently learn and respond to the …

This paper investigates the problem of dynamic spectrum access for canonical wireless
networks, in which the channel states are time-varying. In the most existing work, the …

In this paper, we investigate the problem of channel selection for interference mitigation in
opportunistic spectrum access networks using a stochastic game-theoretic approach. The …

With the rapid development of intelligent hardware and the Internet of Things, the bandwidth
and resource utilization efficiency of related networks need to be improved. At the same …

This paper describes a learning system based on resilience indicators. It proposes a hybrid
learning system to estimate Human–Machine System performance when facing …

Except for the unmanned aerial vehicles (UAVs) providing specialized communication
service, there may be many other UAVs executing various missions in the air. These UAVs …

The architecture of decentralization makes future wireless networks more flexible and
scalable. However, due to the lack of the central authority (eg, BS or AP), the limitation of …

We propose a distributed Learning Automata (LA) for spectrum management problem in
Cognitive Radio (CR) networks. The objective is to design intelligent Secondary Users (SUs) …

Traffic crashes have posed a serious threat to global health and have had a negative impact
on social and economic development. In 2015, 1.25 million people died in traffic crashes …

By combining linear discriminant analysis and Kmeans into a coherent framework, a
dimension reduction algorithm was recently proposed to select the most discriminative …