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Title: An Underlay Communication Channel for 5G Cognitive Mesh Networks: Packet Design, Implementation, Analysis, and Experimental Results

Abstract

This paper proposes and presents the design and implementation of an underlay communication channel (UCC) for 5G cognitive mesh networks. The UCC builds its waveform based on filter bank multicarrier spread spectrum (FB-MCSS) signaling. The use of this novel spread spectrum signaling allows the device-to-device (D2D) user equipments (UEs) to communicate at a level well below noise temperature and hence, minimize taxation on macro-cell/small-cell base stations and their UEs in 5G wireless systems. Moreover, the use of filter banks allows us to avoid those portions of the spectrum that are in use by macro-cell and small-cell users. Hence, both D2D-to-cellular and cellular-to-D2D interference will be very close to none. We propose a specific packet for UCC and develop algorithms for packet detection, timing acquisition and tracking, as well as channel estimation and equalization. We also present the detail of an implementation of the proposed transceiver on a software radio platform and compare our experimental results with those from a theoretical analysis of our packet detection algorithm.

Authors:
; ; ; ; ; ; ; ; ;
Publication Date:
Research Org.:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1348067
Report Number(s):
INL/CON-15-37545
DOE Contract Number:  
AC07-05ID14517
Resource Type:
Conference
Resource Relation:
Conference: IEEE International Conference on Communications 2016: Eighth Workshop on Cooperative and Cognitive N, Kuala Lumpur, Malaysia, 5/23/2016 - 5/27/2016
Country of Publication:
United States
Language:
English
Subject:
cognitive networks; cooperative networks; filter bank multicarrier; mesh networks; packet detection; spread spectrum; underlay communications

Citation Formats

Haddadin, Tarek, Laraway, Stephen Andrew, Majid, Arslan, Sibbett, Taylor, Wasden, Daryl Leon, Lo, Brandon F, Landon, Lloyd, Couch, David, Moradi, Hussein, and Farhang-Boroujeny, Behrouz. An Underlay Communication Channel for 5G Cognitive Mesh Networks: Packet Design, Implementation, Analysis, and Experimental Results. United States: N. p., 2016. Web.
Haddadin, Tarek, Laraway, Stephen Andrew, Majid, Arslan, Sibbett, Taylor, Wasden, Daryl Leon, Lo, Brandon F, Landon, Lloyd, Couch, David, Moradi, Hussein, & Farhang-Boroujeny, Behrouz. An Underlay Communication Channel for 5G Cognitive Mesh Networks: Packet Design, Implementation, Analysis, and Experimental Results. United States.
Haddadin, Tarek, Laraway, Stephen Andrew, Majid, Arslan, Sibbett, Taylor, Wasden, Daryl Leon, Lo, Brandon F, Landon, Lloyd, Couch, David, Moradi, Hussein, and Farhang-Boroujeny, Behrouz. Fri . "An Underlay Communication Channel for 5G Cognitive Mesh Networks: Packet Design, Implementation, Analysis, and Experimental Results". United States. https://www.osti.gov/servlets/purl/1348067.
@article{osti_1348067,
title = {An Underlay Communication Channel for 5G Cognitive Mesh Networks: Packet Design, Implementation, Analysis, and Experimental Results},
author = {Haddadin, Tarek and Laraway, Stephen Andrew and Majid, Arslan and Sibbett, Taylor and Wasden, Daryl Leon and Lo, Brandon F and Landon, Lloyd and Couch, David and Moradi, Hussein and Farhang-Boroujeny, Behrouz},
abstractNote = {This paper proposes and presents the design and implementation of an underlay communication channel (UCC) for 5G cognitive mesh networks. The UCC builds its waveform based on filter bank multicarrier spread spectrum (FB-MCSS) signaling. The use of this novel spread spectrum signaling allows the device-to-device (D2D) user equipments (UEs) to communicate at a level well below noise temperature and hence, minimize taxation on macro-cell/small-cell base stations and their UEs in 5G wireless systems. Moreover, the use of filter banks allows us to avoid those portions of the spectrum that are in use by macro-cell and small-cell users. Hence, both D2D-to-cellular and cellular-to-D2D interference will be very close to none. We propose a specific packet for UCC and develop algorithms for packet detection, timing acquisition and tracking, as well as channel estimation and equalization. We also present the detail of an implementation of the proposed transceiver on a software radio platform and compare our experimental results with those from a theoretical analysis of our packet detection algorithm.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {4}
}

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