Object

Title: Multidisciplinary Discussion on 5G from the Viewpoint of Algebraic Combinatorics

Co-author(s) :

Aslanyan Levon

Abstract:

In this paper, we present some of the interesting questions raised in the “5G and Beyond” workshop discussions. We propose to explore alternative solutions in other discipline such as algebraic combinatorics and discrete optimization. Construction of matrices that possess certain desirable properties in discrete tomography can be exploited for the 5th generation (5G) multiuser waveform design. Moreover, we propose to investigate thoroughly the random graph theory developed by Erdös and A. Rényi for 5G multiuser waveform design. Furthermore, we explore using the “Best Match” algorithm, which has a polynomial time complexity, in 5G communications.

Publisher:

IEEE

Identifier:

oai:noad.sci.am:136209

DOI:

10.1109/CSITechnol.2019.8895166

ISBN:

978-1-7281-2859-7

Other identifier:

19136619

Language:

English

URL:

click here to follow the link

Affiliation:

School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Ontario, K1N 6N5, Canada ; Institute for Informatics and Automation Problems of NAS RA ; Department of Electrical and Computer Engineering, California State University

Country:

Armenia

Time period:

23-27 Sept. 2019

Conference title:

2019 Computer Science and Information Technologies (CSIT)

Place:

Yerevan, Armenia

Object collections:

Last modified:

May 3, 2021

In our library since:

Apr 30, 2021

Number of object content hits:

5

All available object's versions:

https://noad.sci.am/publication/149774

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