Journal Information
IEEE Wireless Communications
http://www.comsoc.org/wirelessmag
Impact Factor:
11.39
Publisher:
IEEE
ISSN:
1536-1284
Viewed:
23992
Tracked:
35
Call For Papers
IEEE Wireless Communications Magazine deals with all technical and policy issues related to personalization, location-independent communications in all media. Papers highlight such topics as portable telephones, communicating palmtop computers, protocols, messaging, communications, and personalized traffic filtering. It also covers such policy issues as spectrum allocation, industry structure, and technology evolution.
Last updated by Dou Sun in 2021-05-02
Special Issues
Special Issue on Trustworthy 6G
Submission Date: 2024-08-01

Currently, IMT 2030 proposes trustworthiness as a new characteristic in the 6G vision, and Huawei mentions native trustworthiness for 6G technology and requirements. In fact, various standard organizations, such as 3GPP, ETSI, and IEEE have been working on trustworthiness topics. Meanwhile, the world's major communications companies, including China Mobile, Nokia, Ericsson, etc., have clearly stated the need for 6G trustworthiness in their 6G initiatives, proposals, and white papers. Furthermore, many researchers have published technical work on the definition, generation, protection, and optimization of trustworthiness. All of these indicate that trustworthiness will become an indispensable key feature in 6G. First, as a new characteristic, how to define trustworthiness in 6G is an open issue. Can trustworthiness be straightforwardly equated with safety, security, privacy, reliability, and resilience, or is it characterized by behaving exactly as expected? Second, what key performance indicators are typically suitable for trustworthiness and how to rate trustworthiness precisely. These challenges have not been well addressed. Lastly, due to the diversity of the concept of trustworthiness in academia and industry, there are many views on theories, technologies, and applications for trustworthiness in 6G, which have not yet reached a consensus to form a clear and systematic guide for the coming 6G era. The objective of this Special Issue (SI) is to enable both academic and industry researchers to present their research on trustworthy 6G. The SI also seeks to identify new application areas within this developing field and strongly encourages original research articles related to this topic, as well as high-quality review articles describing the current state of the art. Potential topics of interest include but are not limited to the following: - Definitions of trustworthiness in relation to safety, security, privacy, reliability, robustness, resilience, explainability, accountability, integrity, availability, etc. - Traditional technologies, information theory, cryptography, zero-trust, zero-knowledge proofs, artificial intelligence, etc., for trustworthy 6G. - New capabilities of Account, Authorization, Authentication, Audit, etc. for trustworthy 6G. - Integration of trustworthiness at the physical, data link, and network layers of 6G. - Trustworthy environment engineering in 6G. - Testing and evaluating trustworthiness in 6G. - Industry and standardization efforts on trustworthy 6G.
Last updated by Dou Sun in 2024-06-25
Special Issue on Unveiling the Cosmic Connection: AI's Pivotal Role in Bridging Terrestrial and Non-Terrestrial Networks
Submission Date: 2024-10-01

The emergence of the Third Generation Partnership Project (3GPP) release 17 represents a noteworthy milestone in the evolution of communication networks. It empowers 5G operators to extend their services beyond terrestrial boundaries, with implications reaching far beyond traditional communication networks, impacting remote communities, maritime endeavors, and airborne operations. A key advantage of Non-Terrestrial Networks (NTNs) (including Unmanned Aerial Vehicles (UAVs), High Altitude Platforms (HAPs) and Satellites) is their extensive coverage capability. Machine-to-machine (M2M) applications, emergency response, enhanced coverage to high-speed platforms (airplanes, trains, ships), spanning agriculture, transportation, environmental monitoring, and asset tracking, can leverage NTNs for pervasive and reliable Internet connectivity. However, the integration of NTN into Terrestrial Networks (TNs) introduces various technical and regulatory challenges. Unlike stationary base stations in TNs, one of the use cases of NTNs utilizes satellites in Low Earth Orbit (LEO) that move at considerable speeds, introducing challenges like Doppler shift and trajectory-dependent frequency variations. Compensating for these shifts and ensuring user equipment is aware of satellite mobility pattern becomes crucial. Additionally, the extended signal path through the atmosphere results in higher path loss, impacting network performance in terms of latency and capacity. An efficient integrated TN-NTN network shall carefully adapt the resources based on the dynamics of the system and the instantaneous demand of the corresponding users. Furthermore, such networks are expected to coexist in spectrum, claiming for efficient dynamic spectrum access strategies. Clearly, successful integration requires collaborative efforts among satellite operators, network service providers, government agencies, and standards bodies to overcome regulatory barriers. Wireless devices based on TN typically require more resources to establish a robust link with NTN. To address the restricted storage and computing capabilities of these devices, an efficient wireless architecture needs to be devised. Overcoming these challenges propels us beyond conventional rules-based methods, with many now turning to artificial intelligence (AI) as the preferred solution to navigate the intricacies introduced by contemporary systems. AI-supported methods play a pivotal role in operating future 6G networks, empowering NTNs to function optimally in dynamic and unpredictable settings. However, the reliability of AI models hinges on the size and quality of the training dataset. Consequently, this Special Issue (SI) aims to address the challenges associated with the use of AI in bridging the gap between TN and NTN. Motivated by current trends in the field of integrated TN and NTN using latest AI algorithms, we seek to assemble cross-cutting and high-quality original research papers in the following areas, but not limited to: - Al enabled Beamforming techniques for energy efficient Integrated TN-NTN networks. - Multiple access schemes, e.g., RSMA, NOMA for integrated TN-NTN systems. - Al enabled Backscatter communications for Integrated TN-NTN networks. - Energy harvesting, wireless information, and power transfer for integrated TN-NTN networks. - Al enabled intelligent reflecting surface design for Integrated TN-NTN networks. - Holographic MIMO for Integrated TN-NTN networks. - PHY algorithms and protocol designs for integrated TN-NTN. - AI enabled optimization-oriented designs for Integrated TN-NTN. - Satellite communications and networking, e.g., LEOs, ground-to-space, space-to-ground links. - AI enabled cost and power efficient design of Integrated TN-NTN networks. - AI backed security, privacy, and interference exploitation challenges in integrated TN-NTN based systems. - AI algorithms for joint TN and NTN resource allocations. - Generative AI for TN and NTN.
Last updated by Dou Sun in 2024-06-25
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