Wireless Communications and Mobile Computing

AI and Cognitive Spectrum Management for Internet of Things in Smart Cities


Publishing date
01 Oct 2021
Status
Open
Submission deadline
28 May 2021

Lead Editor

1Dalian University of Technology, Dailan, China

2Durham University, Durham, UK

3California State University, San Bernardino, USA


AI and Cognitive Spectrum Management for Internet of Things in Smart Cities


Call for papers

This Issue is now open for submissions.

Papers are published upon acceptance, regardless of the Special Issue publication date.

 Submit to this Special Issue

Description

In the backdrop of ambitious efforts by most countries in embracing smart cities to reinvent and enhance every aspect of their social and economic activities, Internet of Things (IoT) and Artificial Intelligence (AI) technologies are two important enabling technologies which are aggressively and innovatively exploited and adopted to achieve the following objectives: automation, data-centric decision making, disrupting existing operating models and enhanced efficiency.

In a typical smart city implementation, IoT devices are connected via wireless networks to a city control centre, where sensing data from IoT devices are input to support some AI-enabled decision making process, which in turn will lead to timely responses to meet the operational needs of the people. The AI-enabled IoT applications in smart cities create many scientific and engineering challenges. This is especially challenging for the case of mobile IoT devices which may intelligently adapt to multiple heterogeneous wireless urban networks around the city. In addition, when massive numbers of wireless IoT devices are being deployed, cognitive spectrum management is critical to satisfy the explosive broadband requirements of IoT applications. The cognitive capability of IoT devices to detect and sense complicated spectrum and network circumstances is significant and deserves deeper investigation by the research community. Such attributes of smart cities call for a deep fusion of AI, cognitive spectrum management and IoT technology.

The aim of this Special Issue is to collate original research with a focus on how IoT and AI technologies work together to realise the intelligence of smart cities. Review articles discussing the current state of the art are also welcomed.

Potential topics include but are not limited to the following:

  • AI-enabled smart city architecture and modelling
  • AI and deep learning approaches for IoT in smart cities
  • Intelligent sensing for IoT in smart cities
  • Cognitive spectrum management for IoT in smart cities
  • Cognitive spectrum access for IoT in smart cities
  • Cognitive security for IoT in smart cities
  • Machine learning and cognitive computing for IoT in smart cities
  • Intelligent positioning for IoT in smart cities
  • Collaborative AI-enabled IoT operation and maintenance in smart cities
  • Novel network and communication protocol for AI-enabled IoT

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 9990893
  • - Research Article

Optimization of Energy Efficiency for Uplink Wireless Information and Downlink Power Transfer System with Imperfect CSI

Shiqi Wang | Lin Ma | Xuedong Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 5546154
  • - Research Article

A Novel LT Scheme without Feedback Messages for IoT of Smart City Scenarios

Shuang Wu | Qingyang Guan | Shanshan Li
  • Special Issue
  • - Volume 2021
  • - Article ID 5547989
  • - Research Article

Signal Detection in Satellite-Ground IoT Link Based on Blind Neural Network

Qing-yang Guan | Wu Shuang
  • Special Issue
  • - Volume 2021
  • - Article ID 9976751
  • - Research Article

An Improved Method for Parametric Spatial Spectrum Estimation in Internet of Things

Yong Liu | Jingya Zhao | ... | Yanqiu Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 5356193
  • - Research Article

Trajectory Mining-Based City-Level Mobility Model for 5G NB-IoT Networks

Runzhou Zhang | Han Zhong | ... | Lei Ning
  • Special Issue
  • - Volume 2021
  • - Article ID 5563271
  • - Research Article

Electromagnetic Environment Portrait Based on Big Data Mining

Lantu Guo | Meiyu Wang | Yun Lin
  • Special Issue
  • - Volume 2021
  • - Article ID 5574807
  • - Research Article

A Novel PAPR Reduction Scheme for OFDM Systems Based on Neural Networks

Feng Zou | Zhijun Liu | ... | Gang Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 5565589
  • - Research Article

A Vision-Based Target Detection, Tracking, and Positioning Algorithm for Unmanned Aerial Vehicle

Xin Liu | Zhanyue Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 5539697
  • - Research Article

Compressive Spectrum Sensing with Temporal-Correlated Prior Knowledge Mining

Jianfeng Liu | Xin-Lin Huang | Ping Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 5530396
  • - Research Article

Linear Regression Algorithm against Device Diversity for the WLAN Indoor Localization System

Liye Zhang | Xiaoliang Meng | Chao Fang
Wireless Communications and Mobile Computing
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 Journal metrics
Acceptance rate33%
Submission to final decision81 days
Acceptance to publication37 days
CiteScore2.900
Impact Factor1.819