Wireless Communications and Mobile Computing

Artificial Intelligence-Powered Systems and Applications in Wireless Networks


Publishing date
01 Nov 2021
Status
Closed
Submission deadline
02 Jul 2021

Lead Editor

1Nanjing University, Nanjing, China

2Shandong University, Jinan, China

3Vrije Universiteit Amsterdam, Amsterdam, Netherlands

4University of Central Florida, Orlando, USA

This issue is now closed for submissions.
More articles will be published in the near future.

Artificial Intelligence-Powered Systems and Applications in Wireless Networks

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Artificial intelligence (AI) is defined as any process or device that perceives its environment and takes actions that maximize the chances of success for some predefined goal, which can provide feasible solutions for emerging complex communication systems. The recent advances in machine learning, such as deep learning, convolutional neural networks, recurrent neural networks, and reinforcement learning, hold significant promise for solving complex and intractable problems. The fifth generation (5G) wireless communications are expected to satisfy the diverse service requirements in various aspects of our daily life, from residence, work, leisure, to transportation.

Due to the extreme range of 5G requirements for user experience, efficiency, performance, and complex network environments, the design and optimization of 5G networks becomes very challenging. The future 5G network will require robust and intelligent algorithms to adapt network protocols and resource management for different services in different scenarios. It is now appropriate to apply AI technology to wireless communications to tackle optimized physical layer design, complicated decision making, network management, and resource optimization tasks in such networks. Moreover, emerging big data technology has brought us an excellent opportunity to study the essential characteristics of wireless networks and to help us to obtain a more clear and in-depth knowledge of the behaviour of wireless networks. In the study of wireless technologies and communication systems, AI will be a powerful tool and a hot research topic with many potential applications, e.g., wireless signal processing, channel modelling, and resource management.

This Special Issue aims to collate original research and review articles in the field of artificial intelligence applied to wireless networks.

Potential topics include but are not limited to the following:

  • Novel design of deep-learning approaches for wireless system applications and services
  • Novel design of machine-learning and pattern recognition algorithms for wireless communication technologies
  • Systems and applications of AI for optimizing wireless communication systems, including channel models, channel state estimation, code book design, and signal processing, etc.
  • Systems and applications of AI for wireless transmission technologies, including coordinated multiple points of transmission/reception, large scale antenna array, and multi-hop relay, etc.
  • Systems and applications of AI for mobile management, including user association, handoff strategy, and backhaul technology, etc.
  • Systems and applications of AI for resource management, including spectrum resources, energy sources, cloud resources, computing resources, and communication infrastructure, etc.
  • AI-enabled security methods in wireless networks
  • AI-enabled network pricing models
  • The analysis and prediction of network behaviour via AI technologies, including multi-media traffic load, network overhead, and network collision, etc.
  • Evaluating the scope and potential limitations of AI solutions in wireless communications

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 5534270
  • - Research Article

User-Level Membership Inference for Federated Learning in Wireless Network Environment

Yanchao Zhao | Jiale Chen | ... | Bing Chen
  • Special Issue
  • - Volume 2021
  • - Article ID 5570104
  • - Research Article

Incentives against Max-Min Fairness in a Centralized Resource System

Zheng Chen | Zhaoquan Gu | Yuexuan Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 1604268
  • - Research Article

Human Origin-Destination Flow Prediction Based on Large Scale Mobile Signal Data

Qiuyang Huang | Yongjian Yang | ... | Kangning Zhu
  • Special Issue
  • - Volume 2021
  • - Article ID 5586029
  • - Research Article

Doppler Spread Estimation Based on Machine Learning for an OFDM System

Eunchul Yoon | Soonbum Kwon | ... | Sun-Yong Kim
  • Special Issue
  • - Volume 2021
  • - Article ID 9627776
  • - Research Article

Air Quality Prediction Model Based on Spatiotemporal Data Analysis and Metalearning

Kejia Zhang | Xu Zhang | ... | Bangju Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 5536386
  • - Research Article

Blind Travel Prediction Based on Obstacle Avoidance in Indoor Scene

Zhiqiang Lv | Jianbo Li | ... | Yue Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 9249387
  • - Research Article

Deep Learning Enhanced Solar Energy Forecasting with AI-Driven IoT

Hangxia Zhou | Qian Liu | ... | Yang Du
  • Special Issue
  • - Volume 2021
  • - Article ID 9951607
  • - Research Article

A Hybridly Optimized LSTM-Based Data Flow Prediction Model for Dependable Online Ticketing

Chunmei Fan | Jiansheng Zhu | ... | Beibei Li
  • Special Issue
  • - Volume 2021
  • - Article ID 6657580
  • - Research Article

Construction of Trusted Routing Based on Trust Computation

Bei Gong | Jingxuan Zhu | Yubo Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 6668478
  • - Research Article

Just Shake Them Together: Imitation-Resistant Secure Pairing of Smart Devices via Shaking

Congcong Shi | Lei Xie | ... | Sanglu Lu
Wireless Communications and Mobile Computing
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