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White Paper on Broadband Connectivity in 6G

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arxiv 2004.14247 v1 pith:FYFCPNEU submitted 2020-04-29 eess.SP

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keywords willbroadbandconnectivitydifferentintegratedlevelnetworksrates
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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.

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Forward citations

Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 291 citations worldwide. Full citation record

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    eess.SP 2026-07 conditional novelty 6.0 of 10

    AWGN-trained DeepSC generalizes to THz fading channels with a pilot-free neural detector that outperforms MMSE equalization with perfect CSI.

  2. Performance Analysis of Linear Detection under Noise-Dependent Fast-Fading Channels

    eess.SP 2025-07 conditional novelty 6.0 of 10

    New semi-analytical and asymptotic symbol error rate expressions for ZF detection over Rayleigh fading with correlated channel and Gaussian noise.

  3. A Unified KLD Framework for Duplexity and Deployment Paradigms in Cell-Free mMIMO-ISAC

    eess.SP 2026-05 unverdicted novelty 5.0 of 10

    With SI leakage β ≤ 10⁻³ and IC error ≤ 10⁻⁶, full-duplex CF-mMIMO-ISAC yields 30–50% higher communication KLD than half-duplex while keeping radar detection near one; shared APs help sensing via aperture but couple t...

  4. CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration

    cs.NI 2025-05 reject novelty 4.0 of 10

    CE-LSLM reports lower edge inference latency by reusing cloud LLM KV caches in edge SLMs, but the cross-model reuse mechanism is asserted, not demonstrated.

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