Data Management for Future Wireless Networks: Architecture, Privacy Preservation, and Regulation

Shen, Xuemin; Huang, Cheng; Liu, Dongxiao; Xue, Liang; Zhuang, Weihua; Sun, Rob; Bi, Ying

doi:10.1109/mnet.011.2000666

Cited by 36 publications

(11 citation statements)

References 28 publications

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“…For example, vehicle-to-vehicle data exchange and data analytics can enrich existing vehicle services in vehicular networks [257]. However, RoadSide Units (RSUs) and vehicles can be malicious and untrusted [258]. To solve this problem, the authors in [259] propose a consortium blockchain-based system pro-tected by smart contracts for secure data storage and exchange in vehicular networks.…”

Section: B Decentralized Edge Data Storage and Sharingmentioning

confidence: 99%

“…1) Blockchain in Edge Multimedia Networks: Multimodal multimedia services require a large amount of user privacy data to optimize the quality of service and immerse users in the Metaverse. Therefore, blockchain as a distributed ledger can record private information, such as preferred FoV, for Metaverse users [258]. Using fog-based access points as logging nodes of the blockchain, the authors in [282] propose blockchain-enabled fog radio access networks to provide decentralized logging services for VR services.…”

Section: Blockchain In Edge Resource Managementmentioning

confidence: 99%

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A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges

Xu¹,

Ng²,

Lim³

et al. 2022

Preprint

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Dubbed "the successor to the mobile Internet", the concept of the Metaverse has grown in popularity. While there exist lite versions of the Metaverse today, they are still far from realizing the full vision of an immersive, embodied, and interoperable Metaverse. Without addressing the issues of implementation from the communication and networking, as well as computation perspectives, the Metaverse is difficult to succeed the Internet, especially in terms of its accessibility to billions of users today. In this survey, we focus on the edge-enabled Metaverse to realize its ultimate vision. We first provide readers with a succinct tutorial of the Metaverse, an introduction to the architecture, as well as current developments. To enable the ubiquitous, seamless, and embodied access to the Metaverse, we discuss the communication and networking challenges and survey cutting-edge solutions and concepts that leverage next-generation communication systems for users to be telepresent and teleoperate in the Metaverse. Moreover, given the high computation costs required, e.g., to render immersive 3D worlds and run data hungry artificial intelligence (AI) driven applications, we discuss the computation challenges and cloud-edge-end computation framework driven solutions to realize the Metaverse on resource-constrained edge devices. Next, we explore how blockchain technologies can aid in the interoperable development of the Metaverse, not just in terms of empowering the economic circulation of virtual usergenerated contents, but also to manage physical edge resources in a decentralized, transparent, and tamper-proof manner. Finally, we discuss the future research directions towards realizing the true vision of the edge-enabled Metaverse.

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Section: B Decentralized Edge Data Storage and Sharingmentioning

confidence: 99%

Section: Blockchain In Edge Resource Managementmentioning

confidence: 99%

A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges

Xu¹,

Ng²,

Lim³

et al. 2022

Preprint

Self Cite

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“…The trustworthy communication network has become a key requirement in 6G as a result of growing privacy and security concerns [16], [37]. However, with the evolution of the network architecture from centralized control to distributed processing and the indepth convergence of AI technique, big data technique, 6G network foresees a huge exchange of data, which clearly poses some new challenges in terms of security, privacy, Fig.…”

Section: ) Trustworthiness-native Networkmentioning

confidence: 99%

Semantic Communications for 6G Future Internet: Fundamentals, Applications, and Challenges

Yang¹,

Du²,

Liew³

et al. 2022

Preprint

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With the increasing demand for intelligent services, the sixth-generation (6G) wireless networks will shift from a traditional architecture that focuses solely on high transmission rate to a new architecture that is based on the intelligent connection of everything. Semantic communication (SemCom), a revolutionary architecture that integrates user as well as application requirements and meaning of information into the data processing and transmission, is predicted to become a new core paradigm in 6G. While SemCom is expected to progress beyond the classical Shannon paradigm, several obstacles need to be overcome on the way to a SemCom-enabled smart wireless Internet. In this paper, we first highlight the motivations and compelling reasons of SemCom in 6G. Then, we outline the major 6G visions and key enabler techniques which lay the foundation of SemCom. Meanwhile, we highlight some benefits of SemComempowered 6G and present a SemCom-native 6G network architecture. Next, we show the evolution of SemCom from its introduction to classical SemCom related theory and modern AIenabled SemCom. Following that, focusing on modern SemCom, we classify SemCom into three categories, i.e., semantic-oriented communication, goal-oriented communication, and semanticaware communication, and introduce three types of semantic metrics. We then discuss the applications, the challenges and technologies related to semantics and communication. Finally, we introduce future research opportunities. In a nutshell, this paper investigates the fundamentals of SemCom, its applications in 6G networks, and the existing challenges and open issues for further direction.

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“…For example, user trajectory and association history at different access points can be utilized to conduct AI-based network traffic prediction and content catching on the edge for dynamic network resource allocation [1,5]. Thus, how to effectively and efficiently manage user data-that is, DM, which includes multiple data operations in the life-cycle of user data, from data creation to deletion [6,7]-has become a key enabler of future network intelligence. However, the highly dynamic and heterogeneous nature of 6G imposes four major requirements on DM:…”

Section: Data Management (Dm) Toward 6gmentioning

confidence: 99%

Blockchain for Transparent Data Management Toward 6G

et al. 2022

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Data Management for Future Wireless Networks: Architecture, Privacy Preservation, and Regulation

Cited by 36 publications

References 28 publications

A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges

A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges

Semantic Communications for 6G Future Internet: Fundamentals, Applications, and Challenges

Blockchain for Transparent Data Management Toward 6G

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