Zur Hauptnavigation wechseln Zur Suche wechseln Zum Hauptinhalt wechseln

Cell search for a millimeter wave cellular system with 1-bit quantization at the receiver

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

For 5G it will be important to leverage the avail- able millimeter wave spectrum. Communication at high carrier frequencies requires antenna arrays at both the base and mobile station. A 1-bit analog to digital converter can effectively reduce the complexity and power consumption of the analog frontend. This is especially interesting in the context of large antenna arrays with a sizable signal bandwidth. In this paper we investigate the cell search capabilities of a mobile station with an antenna array and an analog frontend with 1-bit quantization behind each antenna. We derive the Likelihood Ratio Test (LRT) for this problem with full channel knowledge. We also show the generalized Likelihood Ratio Test (GLRT) for a case without channel knowledge, and compare the performance to practical algorithm based on correlation. We show that the practical correlation achieves a similar performance compared to the theoretical optimal GLRT. Compared to a system with high resolution analog to digital conversion our results show the theoretical derived SNR gap of 2 dB.

OriginalspracheEnglisch
Titel2016 IEEE 83rd Vehicular Technology Conference, VTC Spring 2016 - Proceedings
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9781509016983
DOIs
PublikationsstatusVeröffentlicht - 5 Juli 2016
Veranstaltung83rd IEEE Vehicular Technology Conference, VTC Spring 2016 - Nanjing, China
Dauer: 15 Mai 201618 Mai 2016

Publikationsreihe

NameIEEE Vehicular Technology Conference
Band2016-July
ISSN (Print)1550-2252

Konferenz

Konferenz83rd IEEE Vehicular Technology Conference, VTC Spring 2016
Land/GebietChina
OrtNanjing
Zeitraum15/05/1618/05/16

Fingerprint

Untersuchen Sie die Forschungsthemen von „Cell search for a millimeter wave cellular system with 1-bit quantization at the receiver“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren