sensors-logo

Journal Browser

Journal Browser

6G and Blockchain for Advanced Future Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (15 February 2023) | Viewed by 1751

Special Issue Editors


E-Mail Website
Guest Editor
National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
Interests: blockchain technologies; distributed systems; optical wireless communications; network modeling; machine learning; and signal processing
Special Issues, Collections and Topics in MDPI journals
College of Artificial Intelligence, College of Future Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China
Interests: RIS communications; channel modeling and characteristics analysis; 6G key technologies
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
James Watt School of Engineering, University of Glasgow, Glasgow G12 8QF, UK
Interests: distributed consensus; distributed systems; blockchain/distributed ledger technology (DLT); connected autonomous systems; Internet of Things (IoT)
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
Interests: industrial Internet of Things; federated learning; edge intelligence; deterministic networking
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Interests: blockchain; wireless communication; security and privacy

Special Issue Information

Dear Colleagues,

6G and blockchains are envisioned to play essential and significant roles in developing future advanced applications, such as the metaverse, Web 3.0, artificial intelligence (AI), vehicle-to-everything (V2X), unmanned aerial vehicles (UAVs), extended reality (XR), etc. Aiming to provide enhanced quality of service with massive IoT connectivity, 6G is ultra-reliable and presents extremely low latency. Blockchains not only allow virtual assets to be circulated and traded with high immutability, security, and transparency, but also preserve data integrity and user privacy among untrusted network entities as a decentralized database. However, this technology remains underexplored in many areas, including how these state-of-the-arts can be applied to various scenarios for a better quality of experience (QoE) and what can be accomplished through deep integration of these technologies. Thus, novel methods, algorithms, and mechanisms for 6G and blockchains are urgently needed to facilitate diverse tasks.

This Special Issue seeks high-quality works based on 6G and/or blockchains that discuss novel ideas, theories, frameworks, solutions, and testbeds for the promotion of advanced future applications. Topics of interest include, but are not limited to, the following:

  • 6G for the future IoT;
  • 6G-empowered MEC collaboration;
  • Machine learning for 6G;
  • 6G for UAV/V2X networking;
  • Web3 over 6G networks;
  • 6G-spurred metaverse and XR;
  • Blockchain-enhanced decentralized IoT;
  • Blockchain for wireless networking;
  • Blockchain-based metaverse ecosystem;
  • Blockchain-as-a-service for Web3;
  • Blockchain-empowered distributed AI;
  • New architectures for 6G/blockchain;
  • Energy-efficient and low-carbon solutions for 6G/blockchain applications;
  • Market structures and pricing policies in 6G/blockchain applications;
  • Proof-of-concept 6G/blockchain-enhanced applications: experimental prototyping and testbeds.

Dr. Xintong Ling
Dr. Hao Jiang
Dr. Lei Zhang
Dr. Weiting Zhang
Dr. Jiawen Kang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

17 pages, 1248 KiB  
Article
Low Complexity Adaptive Detection of Short CPM Bursts for Internet of Things in 6G
by Zihao Pan, Heng Wang, Bangning Zhang and Daoxing Guo
Sensors 2022, 22(21), 8316; https://doi.org/10.3390/s22218316 - 29 Oct 2022
Cited by 2 | Viewed by 1219
Abstract
With the standardization and commercialization of 5G, research on 6G technology has begun. In this paper, a new low-complexity soft-input–soft-output (SISO) adaptive detection algorithm for short CPM bursts is proposed for low-power, massive Internet of Things (IoT) connectivity in 6G. First, a time-invariant [...] Read more.
With the standardization and commercialization of 5G, research on 6G technology has begun. In this paper, a new low-complexity soft-input–soft-output (SISO) adaptive detection algorithm for short CPM bursts is proposed for low-power, massive Internet of Things (IoT) connectivity in 6G. First, a time-invariant trellis is constructed on the basis of truncation in order to reduce the number of states. Then, adaptive channel estimators, recursive least squares (RLS), or least mean squares (LMS), are assigned to each hypothetical sequence by using the recursive structure of the trellis, and per-survivor processing (PSP) is used to improve the quality of channel estimation and reduce the number of searching paths. Then, the RLS adaptive symbol detector (RLS-ASD) and LMS adaptive symbol detector (LMS-ASD) could be acquired. Compared to using a least-squares estimator, the RLS-ASD avoids matrix inversion for the computation of branch metrics, while the LMS-ASD further reduces the steps in the RLS-ASD at the cost of performance. Lastly, a soft information iteration process is used to further improve performance via turbo equalization. Simulation results and analysis show that the RLS-ASD improves performance by about 1 dB compared to the state-of-the-art approach in time-variant environments while keeping a similar complexity. In addition, the LMS-ASD could further significantly reduce complexity with a power loss of approximately 1 dB. Thus, a flexible choice of detectors can achieve a trade-off of performance and complexity. Full article
(This article belongs to the Special Issue 6G and Blockchain for Advanced Future Applications)
Show Figures

Figure 1

Back to TopTop