6G: Opening New Horizons for Integration of Comfort, Security, and Intelligence
By Guan Gui, Miao Liu, Nei Kato, Fumiyuki Adachi, Fengxiao Tang. IEEE wireless communications, 2020
571 citations recorded by the source corpus.
The innovations provided by sixth generation wireless communication (6G) as compared to fifth generation (5G) are considered in this article based on analysis of related works. With the aim of achieving diverse performance improvements for the various 6G requirements, five 6G core services are identified. Two centricities and eight key performance indices (KPIs) are detailed to describe these services, then enabling technologies to fulfill the KPIs are discussed. A 6G architecture is proposed as an integrated system of the enabling technologies and is then illustrated using four typical urban application scenarios. Potential challenges in the development of 6G technology are then discussed and possible solutions are proposed. Finally, opportunities for exploring 6G are analyzed in order to guide future research.
Subfields: Aerospace Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/1076670af71265810360aa9ab762b98514159bc4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Madhusanka Liyanage
- Andreas F. Molisch
- Walid Saad
- Shiwen Mao
- H. Vincent Poor
- Guan Gui
- Klaus Moessner
- Mansoor Shafi
In Electrical and Electronic Engineering
- H. Vincent Poor
- Andreas F. Molisch
- Walid Saad
- Fumiyuki Adachi
- Madhusanka Liyanage
- Fredrik Tufvesson
- Quoc-Viet Pham
- Mansoor Shafi
Citations in the corpus
- 6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities (2020, background): “Quantum computing is considered as one of the revolutionary technologies for generic 6G wireless communications in a number of seminal works (e.g., [14], [16], [54], [57], [58]).”
- Integrated Satellite-Terrestrial Networks Toward 6G: Architectures, Applications, and Challenges (2022, background): “It has been witnessed that the 6G wireless network would penetrate into a wide range of applications, such as industry, transportation, and energy [4].”
- Survey on 6G Frontiers: Trends, Applications, Requirements, Technologies and Future Research (2021, methodology): “channel coding, channel based adaptation, quantum key distribution and quantum teleportation are being investigated to be used with future 6G communication networks [345].”
- 6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities (2020, background): “The studies in [3], [8], and [14] give a flavor of the possible key performance indicators (KPIs) of 6G systems and provide a summary of enabling technologies needed to realize the KPIs, such as holographic radio (different from standard holograms), terahertz (THz) communications, intelligent reflec”
- A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends, and Challenges (2020, background): “With the development of machine learning, deep learning and artificial intelligence, many learning-based algorithms have been proposed to solve channel estimation [161]–[170], automatic modulation recognition [171]–[175], network traffic prediction [176]–[184], computing offloading [185]–[192], phys”
- Security and Privacy for 6G: A Survey on Prospective Technologies and Challenges (2021, background): “(AI/ML) [6], [11], or fragmented ideas in generic surveys”
- The Road Towards 6G: A Comprehensive Survey (2021, background): “gave a brief presentation on various 6G issues in [32], including core services, use cases, requirements, enabling technologies, architectures, typical use scenarios, challenges, and research directions.”
- The Roadmap to 6G Security and Privacy (2021, background): “Various aspects should be considered for characterizing security, such as PLS, network information security, and AI/ML related security [8].”
- Contour Stella Image and Deep Learning for Signal Recognition in the Physical Layer (2020, background): “sion environment systems is drawing increasing interest [10].”