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20152024
most cited6G White Paper on Machine Learning in Wireless Communication Networks

94 citations · 312 across the 24 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.IT2020★ 1 cited

Learning to Cache: Distributed Coded Caching in a Cellular Network With Correlated Demands

S. Krishnendu, B. N. Bharath, Navneet Garg +2

Design of distributed caching mechanisms is considered as an active area of research due to its promising solution in reducing data load in the backhaul link of a cellular network.…

cs.NI2020

6G for Bridging the Digital Divide: Wireless Connectivity to Remote Areas

Abdelaali Chaoub, Marco Giordani, Brejesh Lall +9

In telecommunications, network service accessibility as a requirement is closely related to equitably serving the population residing at locations that can most appropriately be de…

eess.SP2020★ 14 cited

A Survey on Design and Performance of Higher-Order QAM Constellations

Praveen Kumar Singya, Parvez Shaik, Nagendra Kumar +2

As the research on beyond 5G heats up, we survey and explore power and bandwidth efficient modulation schemes in details. In the existing publications and in various communication…

eess.SP2020★ 66 cited

A 6G White Paper on Connectivity for Remote Areas

Harri Saarnisaari, Sudhir Dixit, Mohamed-Slim Alouini +31

In many places all over the world rural and remote areas lack proper connectivity that has led to increasing digital divide. These areas might have low population density, low inco…

cs.IT2020★ 94 cited

6G White Paper on Machine Learning in Wireless Communication Networks

Samad Ali, Walid Saad, Nandana Rajatheva +24

The focus of this white paper is on machine learning (ML) in wireless communications. 6G wireless communication networks will be the backbone of the digital transformation of socie…