Article detail · 2020
White Paper on Broadband Connectivity in 6G
Journal
e-space (Manchester Metropolitan University)- Year
- 2020
- Type
- report
Data source split
- YÖKSİS venue e-space (Manchester Metropolitan University)
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
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.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
291 citations
OpenAlex cited_by_count (cache / database)
10 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Terahertz-Band Joint Ultra-Massive MIMO Radar-Communications: Model-Based and Model-Free Hybrid Beamforming 2021
- Scoring the Terabit/s Goal:Broadband Connectivity in 6G 2020
- Low-Latency 64-Parallel 4096-Point Memory-Based FFT for 6G 2023
- Control of Electromagnetic Radiation on Coexisting Smart Radio Environment 2022
- Mission-Critical Internet of Things on the 6G Network: Services and Apps with Networking Architecture 2023
- INGR Roadmap Satellite Chapter 2023
- Channel Modelling in RIS‐Empowered Wireless Communications 2022
- Mission-Critical Internet of Things on the 6G Network: Services and Apps with Networking Architecture 2023
- Estimation of Correlated Channels in Reconfigurable Intelligent Surfaces-Enabled 6G Networks 2023
- Improving the Performance of Cell-Edge Users in 6G and Beyond Networks by Utilizing a Novel Precoding-based Hybrid CoMP Transmission Design 2022