White Paper on Broadband Connectivity in 6G

By N. Rajatheva, Italo Atzeni, E. Bjornson, A. Bourdoux, Stefano Buzzi, Jean-Baptiste Doré, S. Erkucuk, Manuel Fuentes, Ke Guan, Yuzhou Hu and 15 more. 2020

372 citations recorded by the source corpus.

This white paper explores the road to implementing broadband connectivity in future 6G wireless systems. Different categories of use cases are considered, from extreme capacity with peak data rates up to 1 Tbps, to raising the typical data rates by orders-of-magnitude, to support broadband connectivity at railway speeds up to 1000 km/h. To achieve these goals, not only the terrestrial networks will be evolved but they will also be integrated with satellite networks, all facilitating autonomous systems and various interconnected structures. We believe that several categories of enablers at the infrastructure, spectrum, and protocol/ algorithmic levels are required to realize the intended broadband connectivity goals in 6G. At the infrastructure level, we consider ultra-massive MIMO technology (possibly implemented using holographic radio), intelligent reflecting surfaces, user-centric and scalable cell-free networking, integrated access and backhaul, and integrated space and terrestrial networks. At the spectrum level, the network must seamlessly utilize sub-6 GHz bands for coverage and spatial multiplexing of many devices, while higher bands will be used for pushing the peak rates of point-to-point links. The latter path will lead to THz communications complemented by visible light communications in specific scenarios. At the protocol/algorithmic level, the enablers include improved coding, modulation, and waveforms to achieve lower latencies, higher reliability, and reduced complexity. Different options will be needed to optimally support different use cases. The resource efficiency can be further improved by using various combinations of full-duplex radios, interference management based on rate-splitting, machine-learning-based optimization, coded caching, and broadcasting.

Subfields: Aerospace Engineering, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/229aca51aac14125f4dcd4a016ddc6f0a7a318e5

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Citations in the corpus

AI-Native Network Slicing for 6G Networks (2021, methodology): “According to a recent white paper [8], the KPI requirements of the 6G networks include 1 Tbps peak data rate, 20-100 Gbps user experienced data rate, 0.”
Power Scaling Laws and Near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces (2020, background): “We refer to [7], [16], [17], [21] for an overview of other prospective use cases of the IRS technology beyond relaying, including how it can be used in conjunction with other technologies.”
6G and Beyond: The Future of Wireless Communications Systems (2020, background): “While the ITU Telecommunication Standardization Sector (ITU-T) is working on a set of ofﬁcial recommendations for the KPI metrics, the tentative values have appeared in the public domain recently [1].”
A Tutorial on Fluid Antenna System for 6G Networks: Encompassing Communication Theory, Optimization Methods and Hardware Designs (2024, background): “With that, academia and industry professionals are gearing up to meet highly ambitious key performance index requirements, which include achieving a peak rate of 1 Tbps, an end-to-end latency of 1 ms, and a connection density of 10 7 devices per km 2 , and more [1], [2], [3], [4].”
Intelligent Reflecting Surface-Aided Wireless Communications: A Tutorial (2020, background): “…for making our current “dumb” environment intelligent, which can potentially beneﬁt a wide range of vertical industries in 5G/6G such as transportation, manufacturing, smart city, etc. Recently, IRS has been recognized as one promising technology for the future 6G ecosystem [1], [17], [18].”
Modeling and Architecture Design of Reconfigurable Intelligent Surfaces Using Scattering Parameter Network Analysis (2020, methodology): “The proposed general RIS aided communication model fully considers the effects of impedance mismatching and mutual coupling at the transmitter, RIS, and receiver, and thus is more comprehensive than the conventional RIS aided communication model [4], [5], [7]–[30] which does not consider these effec”
A Comprehensive Overview on 5G-and-Beyond Networks With UAVs: From Communications to Sensing and Intelligence (2020, background): “Recently, IRS has also been recognized as a promising technology for the future sixth-generation (6G) ecosystem [98], [110], [111] and studied in various system setups [112]–[121].”
An Overview of Signal Processing Techniques for Terahertz Communications (2020, background): “play an essential role in the future sixth-generation (6G) [9]– [20] and beyond.”
Channel Estimation for Extremely Large-Scale MIMO: Far-Field or Near-Field? (2021, background): “Therefore, high-frequency XL-MIMO has been widely considered as a key enabling technology for future 6G [5].”
Holographic MIMO Communications: Theoretical Foundations, Enabling Technologies, and Future Directions (2022, background): “…advantage of the unprecedented ﬂexibility in EM ﬁeld manipulation as well as the near-ﬁeld communications, we expect that HMIMOS will enable HMIMO communications to encompass holographic imaging-level radios with ultra-high pixel density and extremely large spatial multiplexing [19], [28], [34].”
Security and Privacy for 6G: A Survey on Prospective Technologies and Challenges (2021, background): “Also, multi-user MIMO, holographic radio beamforming, orbital angular momentum, and VLC are important technologies to enhance 6G communications [79], [80].”