Sub‐Nyquist wideband spectrum sensing for multicarrier wireless applications

The incredible growth of wireless technologies has led to an increase in demand of spectral resources for various communication systems. The allocated spectrum for GSM is insufficient to support applications that operate at high data rates (e.g., multimedia applications or 5G mobile communications)....

Full description

Saved in:
Bibliographic Details
Published in:Microwave and optical technology letters 2024-09, Vol.66 (9), p.n/a
Main Authors: Rao, T. J. V. Subrahmanyeswara, Aswini, T. V. N. L., Sharma, Purnima K., Sharma, Dinesh
Format: Article
Language:English
Subjects:
5G mobile communication
5G wireless
Bit error rate
Communications systems
Error analysis
generalized frequency division multiplexing
Multimedia
Orthogonal Frequency Division Multiplexing
Performance evaluation
RF spectrum
Sampling
sub‐Nyquist sampling
Wireless communications
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The incredible growth of wireless technologies has led to an increase in demand of spectral resources for various communication systems. The allocated spectrum for GSM is insufficient to support applications that operate at high data rates (e.g., multimedia applications or 5G mobile communications). Orthogonal frequency division multiplexing (OFDM) and generalized frequency division multiplexing (GFDM) are the recent technologies with high data rates for multimedia applications and mobile communications. These are the perfect candidates for wireless applications and 5G technologies. In this paper, an in‐depth study was presented where the multicarrier models of orthogonal frequency‐division multiplexing (OFDM) and GFDM are integrated with a sub‐Nyquist sampling architecture. The primary focus is to evaluate and compare their spectrum sensing performance. Also analyzed the performance of both OFDM and GFDM under sub‐Nyquist sampling framework and measured the bit error rate (BER) as a function of the received signal‐to‐noise ratio (SNR).
ISSN:0895-2477
1098-2760
DOI:10.1002/mop.34307