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Fast and Reliable Initial Cell-search for mmWave Networks
KTH, School of Electrical Engineering and Computer Science (EECS), Network and Systems Engineering.ORCID iD: 0000-0001-6737-0266
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).ORCID iD: 0000-0002-7559-8911
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).ORCID iD: 0000-0001-7642-3067
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2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

In millimeter-wave wireless networks, the use of narrow beams, required to compensate for the severe path-loss, complicates the cell-discovery and initial access. In this paper, we investigate the feasibility of random beam forming and enhanced exhaustive search for cell-discovery by analyzing the latency and detection failure probability in the control-plane and the user throughput in the data-plane. We show that, under realistic propagation model and antenna patterns, both approaches are suitable for 3GPP New Radio cellular networks. The performance gain, compared to the heavily used exhaustive and iterative search schemes, is more prominent in dense networks and large antenna regimes and can be further improved by optimizing the beam forming code-books.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2018. p. 57-62
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-239140DOI: 10.1145/3264492.3264502ISI: 000480467200011Scopus ID: 2-s2.0-85061490095ISBN: 978-1-4503-5928-3 (print)OAI: oai:DiVA.org:kth-239140DiVA, id: diva2:1263808
Conference
2nd ACM Workshop on Millimeter-Wave Networks and Sensing Systems 2018 (mmNets’18)
Note

QC 20181119

Available from: 2018-11-16 Created: 2018-11-16 Last updated: 2019-09-03Bibliographically approved

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Shokri-Ghadikolaei, HosseinYang, YanpengPetrova, MarinaSung, Ki WonFischione, Carlo

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Shokri-Ghadikolaei, HosseinYang, YanpengPetrova, MarinaSung, Ki WonFischione, Carlo
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