Wireless Communications and Mobile Computing

Channel Estimation and Sensing in Intelligent Reflecting Surface (IRS)-Assisted Communication Systems


Publishing date
01 May 2022
Status
Closed
Submission deadline
17 Dec 2021

Lead Editor
Guest Editors

1Nanjing Forestry University, Nanjing, China

2Southeast University, Nanjing, China

3University of Jyvaskyla, Jyvaskyla, Finland

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

Channel Estimation and Sensing in Intelligent Reflecting Surface (IRS)-Assisted Communication Systems

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

Description

An intelligent reflecting surface (IRS) is a 2D surface of a special electromagnetic material, which is composed of a large array of passive scattering elements. Recently this has attracted attention from both industry and academia, especially in the communication field. Since the IRS-based relay can redirect electromagnetic signals and realize the beamforming, thereby improving the energy efficiency of wireless signals as well as the system performance, IRS is viewed as one of the potential key technologies of 6G communication systems.

The phases of the elements of IRS can be individually tuned, thereby exhibiting sensitivities to signals from different directions. Channel sensing with the aid of IRS will have many applications such as indoor localization, human pose understanding, line-of-sight (LOS) path identification, etc. Additionally, channel estimation as a traditional topic in communications systems is important in data detection, transmission precoder design, interference suppression, etc. Due to the fact that IRS has no radio frequency and baseband processing capabilities, channel estimation in IRS-assisted systems faces new challenges.

Therefore, the objective of this Special Issue is to solicit articles regarding recent advances in channel sensing techniques and channel estimation for IRS-assisted communication systems. We welcome both original research and review articles.

Potential topics include but are not limited to the following:

  • Channel modeling in IRS-assisted systems
  • Channel sensing techniques in IRS-assisted systems
  • Environment sensing based on CSI in IRS-assisted systems
  • Indoor localization based on channel sensing in IRS-assisted systems
  • Channel estimation in IRS-assisted systems
  • Parametric model-based channel estimation in IRS-assisted systems
  • Training sequences design in IRS-assisted systems
  • Data detection in IRS-assisted systems
  • Channel tracking and prediction in IRS-assisted wireless networks
  • Deep learning for IRS-assisted systems

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 5336187
  • - Research Article

Improved Approximate Expectation Propagation Massive MIMO Detector with Second-Order Richardson Iteration

Qian Deng | Xuehui Chen | ... | Yuan Yuan Wu
  • Special Issue
  • - Volume 2022
  • - Article ID 2238643
  • - Research Article

Throughput Optimization of Backscatter-Assisted Wireless Relay Networks in Obstacle Environment

Jinfeng Li | Qinyin Ni | Xiaorong Zhu
  • Special Issue
  • - Volume 2022
  • - Article ID 8476000
  • - Research Article

Remote Sensing Image Fusion Algorithm Based on Two-Stream Fusion Network and Residual Channel Attention Mechanism

Mengxing Huang | Shi Liu | ... | Feng Shu
  • Special Issue
  • - Volume 2022
  • - Article ID 3795183
  • - Research Article

A Credit Conflict Detection Model Based on Decision Distance and Probability Matrix

Xiaodong Zhang | Congdong Lv | Zhoubao Sun
  • Special Issue
  • - Volume 2021
  • - Article ID 6408442
  • - Research Article

Channel Estimation for Broadband Millimeter Wave MIMO Systems Based on High-Order PARALIND Model

Ting Jiang | Maozhong Song | ... | Xu Liu
  • Special Issue
  • - Volume 2021
  • - Article ID 1434347
  • - Research Article

Channel Noise Optimization of Polar Codes Decoding Based on a Convolutional Neural Network

Ming Yan | Xingrui Lou | Yan Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 7000986
  • - Research Article

PM2.5 Concentration Forecasting in Industrial Parks Based on Attention Mechanism Spatiotemporal Graph Convolutional Networks

Qingtian Zeng | Chao Wang | ... | Hua Duan
Wireless Communications and Mobile Computing
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Acceptance rate53%
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CiteScore3.500
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Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.