Unsourced random access with hardware impairments
File(s)
Author(s)
Ozates, Mert
Kazemi, Mohammad
Duman, Tolga M
Type
Conference Paper
Abstract
We consider unsourced random access for which the base station is equipped with a massive number of antennas and there are residual hardware impairments at both the base station and the user equipment. We divide the transmission frame into slots where each user sends a non-orthogonal pilot selected based on part of its message bits followed by its data bits encoded by a polar code. At the receiver side, we first identify the selected pilot sequences by a generalized orthogonal matching pursuit algorithm and estimate the user channels employing a newly developed hardware-impairment aware linear minimum mean-squared error solution. We then perform symbol estimation by maximal ratio combining and data decoding by a single-user polar decoder followed by successive interference cancellation in an iterative fashion. Numerical examples illustrate that hardware impairments degrade the system performance; however, the proposed solution alleviates this loss in terms of both energy efficiency and the number of supported active users.
Date Issued
2024-02-26
Date Acceptance
2023-12-01
Citation
GLOBECOM 2023 - 2023 IEEE Global Communications Conference, 2024, pp.6946-6951
ISSN
2334-0983
Publisher
IEEE
Start Page
6946
End Page
6951
Journal / Book Title
GLOBECOM 2023 - 2023 IEEE Global Communications Conference
Copyright Statement
Copyright © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Source
IEEE Conference on Global Communications (IEEE GLOBECOM) - Intelligent Communications for Shared Prosperity
Subjects
Engineering
Engineering, Electrical & Electronic
hardware impairments
massive MIMO
MASSIVE MIMO SYSTEMS
Science & Technology
Technology
Telecommunications
Unsourced random access
Publication Status
Published
Start Date
2023-12-04
Finish Date
2023-12-08
Coverage Spatial
Kuala Lumpur, Malaysia