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Energy Efficient Hybrid Precoding for Millimeter Wave F-RAN with Wireless Fronthaul
Southeast Univ, State Key Lab Millimeter Waves, Nanjing 210096, Jiangsu, Peoples R China.;Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China..
Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Jiangsu, Peoples R China..
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0002-5407-0835
Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China..
2018 (English)In: 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings, IEEE, 2018, article id 8647930Conference paper, Published paper (Refereed)
Abstract [en]

Millimeter wave (mmWave) communication emerges as an enabling technology for Gbps transmission. A further performance enhancement can be achieved by incorporating mmWave communication into fog radio access networks (F-RANs), which alleviate the large path loss of mmWave signals by shortening the distance between transmitters and users and reduce the latency by caching at enhanced remote radio heads (eRRHs). The full benefit of mmWave F-RANs is leveraged on a joint design of signal processing at the centralized baseband unit (BBU) and distributed eRRHs. In this paper, we propose an energy efficient hybrid precoding design for the downlink mmWave F-RANs with wireless fronthaul links, where digital and hybrid precoders are exploited at the BBU and eRRHs, respectively. We develop an effective method to solve the resulting difficult precoding optimization problem and provide numerical results to demonstrate the effectiveness of the proposed mmWave F-RAN design.

Place, publisher, year, edition, pages
IEEE, 2018. article id 8647930
Series
IEEE Global Communications Conference, ISSN 2334-0983
Keywords [en]
Millimeter wave communication, fog radio access networks, edge caching, wireless fronthaul
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-252931DOI: 10.1109/GLOCOM.2018.8647930ISI: 000465774304146Scopus ID: 2-s2.0-85063529084ISBN: 978-1-5386-4727-1 (print)OAI: oai:DiVA.org:kth-252931DiVA, id: diva2:1324155
Conference
2018 IEEE Global Communications Conference, GLOBECOM 2018; Abu Dhabi National Exhibition Centre (ADNEC)Abu Dhabi; United Arab Emirates; 9 December 2018 through 13 December 2018
Note

QC 20190613

Available from: 2019-06-13 Created: 2019-06-13 Last updated: 2019-06-13Bibliographically approved

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Xiao, Ming

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