Deep Learning aided Energy Efficient Band Assignment in Multiband Heterogeneous Networks-Reference-Cited by-同舟云学术

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Deep Learning aided Energy Efficient Band Assignment in Multiband Heterogeneous Networks

Published:2023-01-08 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)
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Author:

Soni Briiesh¹,Govindasamy Siddhartan¹,Patel Dhaval K.²

Affiliation:

1. Boston College,Department of Engineering,USA

2. School of Engineering and Applied Science, Ahmedabad University,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10059462/10059600/10060279.pdf?arnumber=10060279

Reference5 articles.

1. Millimeter Wave Receiver Efficiency: A Comprehensive Comparison of Beamforming Schemes With Low Resolution ADCs

2. Supervised ML Solution for Band Assignment in Dual-Band Systems With Omnidirectional and Directional Antennas

3. DeepMIMO: A generic deep learning dataset for millimeter wave and massive MIMO applications;alkhateeb;CoRR,2019

4. Deep Learning Predictive Band Switching in Wireless Networks

5. Integrated Millimeter Wave and Sub-6 GHz Wireless Networks: A Roadmap for Joint Mobile Broadband and Ultra-Reliable Low-Latency Communications

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Rate Forecaster based Energy Aware Band Assignment in Multiband Networks;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

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