Security and Communication Networks

Massive Machine-Type Communications for Internet of Things


Publishing date
01 Mar 2022
Status
Published
Submission deadline
12 Nov 2021

Lead Editor

1Nanjing University of Information Science and Technology, Nanjing, China

2University of Sussex, Brighton, UK

3German Aerospace Center , Cologne, Germany

4Nanjing University of Posts and Telecommunications, Nanjing, China

5Xidian University, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China, Xi'an, China


Massive Machine-Type Communications for Internet of Things

Description

Previous decades stood witness to the remarkable achievement of wireless technologies in terms of connecting people all over the world. Recently, there has been growing interest from both academia and industry in another direction – to provide ubiquitous connectivity among machines, autonomous devices, and so forth. Such a paradigm shift from human-type communications (HTC) toward machine-type communications (MTC) is mainly driven by the need to create an Internet of Things (IoT), which holds the promise to revolutionize the way we live and work through seamless interactions between many devices. With the increasing popularity of intelligent transportation, smart city, etc., it is envisioned that the number of IoT devices will reach 75 billion by 2025, which is much larger than the number of the mobile phone users. To provide wireless connectivity to such a large number of devices by the time IoT comes to fruition, the third-generation partnership project (3GPP) has identified massive machine-type communications (mMTC) as one of the three main use cases of the fifth generation (5G) wireless systems.

Compared to its HTC counterpart, mMTC gives rise to new communication models and associated challenges that need to be addressed. For example, high-speed downlink communication is prioritized in HTC, while low-rate uplink communication, e.g., the collection of small payload measurements from a massive number of smart meters, is of utmost importance to mMTC. Therefore, short packet transmission techniques should be investigated in mMTC, where the overhead arising from the control signals needs to be significantly reduced since their size can be similar to that of the data packets. Moreover, the contention-based random access schemes that are widely used for HTC, e.g., ALOHA, may lead to a vast number of collisions in mMTC when there are thousands of IoT devices competing for the access grant. This calls for innovative access strategies, combining random access and scheduling that are tailored to mMTC. Furthermore, novel solutions, such as network slicing of wireless resources, are required to enable the co-existence of HTC and mMTC in future cellular networks.

This Special Issue invites original research and review articles discussing original algorithms, theories, and applications of Massive Machine-Type Communications for IoT.

Potential topics include but are not limited to the following:

  • New opportunities/challenges/use cases for mMTC in 5G and beyond
  • Traffic patterns and communication models for massive IoT
  • Information/communication theory for mMTCCellular IoT networks
  • Low power wide area networks and spectrum sharing
  • Short packet transmission techniques in mMTC
  • Grant-free random access and unsourced random access schemes
  • Joint user activity detection and channel estimation
  • Machine learning for mMTCPhysical layer security for mMTC
  • Network slicing for coexistence of mMTC and HTC
  • Orthogonal and nonorthogonal multiple access schemes
  • Massive MIMO (multiple-input multiple-output) and cell-free MIMO for mMTC
  • Downlink aspects of massive IoT systems

Articles

  • Special Issue
  • - Volume 2024
  • - Article ID 9878909
  • - Retraction

Retracted: SCR-CC: A Novel Sensing Clustering Routing Algorithm Based on Collaborative Computing in Heterogeneous Sensor Networks

Security and Communication Networks
  • Special Issue
  • - Volume 2024
  • - Article ID 9859153
  • - Retraction

Retracted: OWGC-HMC: An Online Web Genre Classification Model Based on Hierarchical Multilabel Classification

Security and Communication Networks
  • Special Issue
  • - Volume 2024
  • - Article ID 9898054
  • - Retraction

Retracted: Efficient and Energy-Saving Computation Offloading Mechanism with Energy Harvesting for IoT

Security and Communication Networks
  • Special Issue
  • - Volume 2024
  • - Article ID 9809620
  • - Retraction

Retracted: Analysis and Research of Psychological Education Based on Data Mining Technology

Security and Communication Networks
  • Special Issue
  • - Volume 2024
  • - Article ID 9756182
  • - Retraction

Retracted: Energy Efficiency Analysis in Modified GoF Spectrum Sensing-Based AF Relay Cooperative Cognitive Sensor Network with Energy Harvesting

Security and Communication Networks
  • Special Issue
  • - Volume 2024
  • - Article ID 9760435
  • - Retraction

Retracted: Automatic Calibration Algorithm for English Text Translation Based on Semantic Features

Security and Communication Networks
  • Special Issue
  • - Volume 2024
  • - Article ID 9812428
  • - Retraction

Retracted: Ocean Observation Data Prediction for Argo Data Quality Control Using Deep Bidirectional LSTM Network

Security and Communication Networks
  • Special Issue
  • - Volume 2023
  • - Article ID 9852327
  • - Retraction

Retracted: Research on the Evaluation Algorithm of Social Capital Influence of Enterprise Network Marketing

Security and Communication Networks
  • Special Issue
  • - Volume 2023
  • - Article ID 9837914
  • - Retraction

Retracted: Study on Automatic Evaluation Method of Spoken English Based on Multimodal Discourse Analysis Theory

Security and Communication Networks
  • Special Issue
  • - Volume 2023
  • - Article ID 9824595
  • - Retraction

Retracted: NECScanNet: Novel Method for Cervical Neuroendocrine Cancer Screening from Whole Slide Images

Security and Communication Networks
Security and Communication Networks
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Acceptance rate11%
Submission to final decision185 days
Acceptance to publication40 days
CiteScore2.600
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