Error Rate Analysis of Sparse Vector Coding with Diversity Techniques in the Presence of Transceiver Hardware Impairments

Authors

  • Dolly Kumari National Institute of Informtion Technology Meghalaya https://orcid.org/0009-0003-7025-2932
  • Narasimha Maddu National Institute of Technology Meghalaya
  • Pradeep Kumar Rathore National Institute of Technology Meghalaya
  • Shravan Kumar Bandari National Institute of Technology Meghalaya https://orcid.org/0000-0002-3128-227X

Keywords:

ultra-reliability, sparse vector coding, diversity schemes, multipath matching pursuit, block error rate

Abstract

Ultra-reliable and low-latency communication (URLLC) is essential for mission-critical applications in 6G, necessitating stringent reliability and latency requirements. Sparse vector coding (SVC) seems to be a suitable candidate for ultra-reliable short-packet communications in future wireless systems. In this paper, we propose an integration of SVC with receiver diversity schemes, namely maximal ratio combining (MRC), equal gain combining (EGC), and selection combining (SC), in the presence of non-ideal transceiver hardware impairments. The key idea is to weight the received signal with weighting coefficients such that the reliability of the SVC transmission is further enhanced. The packet error rate (PER) is assessed and compared with that of the conventional SVC scheme without diversity under the Extended Pedestrian A (EPA) and Extended Vehicular A (EVA) standard channel models. The findings demonstrate that all diversity schemes substantially outperform the conventional method, with MRC providing the highest performance due to its optimal combining strategy. Hardware impairments (HWI) are incorporated using a signal-dependent distortion model at both the transmitter and receiver. Results suggest that the improved reliability of the proposed system model and adverse HWI effects can be traded off against the number of receiving antennas.

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Author Biographies

Dolly Kumari, National Institute of Informtion Technology Meghalaya

Dolly Kumari received her M.Tech. degree in ECE with specialization in Communication Systems from JIIT, Noida-62, India, in 2019. She is currently working toward her Ph.D. at the National Institute of Technology in Meghalaya, India. Her research interests include short packet transmission, next-generation wireless communication, and signal processing for communication systems. She is also a student member of the Institute of Electrical and Electronics Engineers (IEEE).

Narasimha Maddu , National Institute of Technology Meghalaya

Maddu Narasimha received his B.Tech. degree in ECE from Pragati Engineering College, Kakinada, India, in 2025. He is currently working as a project associate at NIT Meghalaya for the accelerated 6G project under the Department of Telecommunication, India. His research interests include short packet transmission, next-generation wireless communication, and signal processing for communication systems.

Pradeep Kumar Rathore, National Institute of Technology Meghalaya

Pradeep Kumar Rathore is an Assistant Professor in the Department of Electronics and Communication Engineering at the National Institute of Technology Meghalaya, India. He earned his Ph.D. from the Indian Institute of Technology Delhi in 2015, focusing on CMOS–MEMS integrated pressure sensors. His research interests include MEMS, microfabrication technology, and CMOS-integrated sensors for pressure and mass sensing applications. He has led and contributed to several sponsored research projects funded by ISRO and DST etc. His current research field areas include design and development MEMS Devices, Sensor Technologies and related Interfacing and communication systems.

Shravan Kumar Bandari, National Institute of Technology Meghalaya

Shravan Kumar Bandari received his Ph.D. degree from NIT Warangal, India, in 2013. He was awarded
a postdoctoral fellowship through the GIGA Korea project at Seoul National University, South Korea,
from 2018 to 2019. He received the ERASMUS-MUNDUS Euphrates scholarship from the Euro-
pean Union for doctoral mobility at TEI of Patras, Greece. Since 2019, he has served as an Assistant
Professor in the Department of Electronics and Communication Engineering at the National Institute of
Technology Meghalaya, India. His research interests encompass future wireless systems and compressed sensing techniques.

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Published

2026-10-20

How to Cite

Kumari, D., Maddu , N., Rathore, P. K., & Bandari, S. K. . (2026). Error Rate Analysis of Sparse Vector Coding with Diversity Techniques in the Presence of Transceiver Hardware Impairments. IEEE Latin America Transactions, 24(11), 1286–1292. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/10879

Issue

Vol. 24 No. 11 (2026): Ordinary Issue

Section

Computing