Data Size-Aware Downlink Massive MIMO: A Session-Based Approach-Reference-Cited by-同舟云学术

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Data Size-Aware Downlink Massive MIMO: A Session-Based Approach

Published:2022-07 Issue:7 Volume:11 Page:1468-1472
ISSN:2162-2337
Container-title:IEEE Wireless Communications Letters
language:
Short-container-title:IEEE Wireless Commun. Lett.

Author:

Vu Tung T.¹^ORCID,Ngo Hien Quoc¹^ORCID,Dao Minh N.²^ORCID,Matthaiou Michail¹^ORCID,Larsson Erik G.³^ORCID

Affiliation:

1. Center for Wireless Innovation, Queen’s University Belfast, Belfast, U.K.

2. School of Engineering, Information Technology and Physical Sciences, Federation University, Ballarat, VIC, Australia

3. Department of Electrical Engineering (ISY), Linköping University, Linköping, Sweden

Funder

U.K. Research and Innovation Future Leaders Fellowships

FMJH Program PGMO and EDF

Research Grant from the Department for the Economy Northern Ireland under the US-Ireland R&D Partnership Programme

ELLIIT and the KAW Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/5962382/9823160/09774852.pdf?arnumber=9774852

Reference12 articles.

1. Discovering Usage Patterns of Mobile Video Service in the Cellular Networks

2. Cell-Free Massive MIMO for Wireless Federated Learning

3. Energy-Efficient Multi-Cell Massive MIMO Subject to Minimum User-Rate Constraints

4. Completion Time in Two-user Channels: An Information-Theoretic Perspective

5. Technical Note—A General Inner Approximation Algorithm for Nonconvex Mathematical Programs

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