An SDR-Based Performance Measurement of LTE and WLAN Coexistence

Published

September 12, 2022

Author(s)

Nadia Yoza Mitsuishi, Yao Ma, Jason Coder

Abstract

In this paper, we report on a software-defined radio (SDR) based test setup to emulate and evaluate the performance of a few wireless coexistence scenarios. The first case we study consists of two long-term evolution (LTE) downlink channels from adjacent cells, and the second case is formed by an LTE downlink channel coexisting with a wireless local network (WLAN) channel. Different from available SDR measurement works, this test design provides some new methods such as real time adjustment of communication and inter-cell interference (ICI) channel gains, the measurement of SDR receiver internal noise power and noise figure, and the measurement of link signal-to-interference-and-noise ratio (SINR). We compare the measured LTE SINR-to-throughput mapping result with a theoretical upper bound which assumes 3GPP reference channel quality indicator (CQI) values and an ideal communication hardware. Our measurement results illustrate the SINR gap caused by the effects of imperfect SDR hardware and noise figure, and show interesting findings about LTE and WLAN performance under varying mutual interference conditions. Our SDR design and measurement methods can be extended to support the performance evaluation and optimization of more general multicell LTE and WLAN coexistence systems.

Conference Dates

September 12-15, 2022

Conference Location

Virtual conference, CO, US

Conference Title

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications

Pub Type

Conferences

Download Paper

https://doi.org/10.1109/pimrc54779.2022.9977746

Local Download

Keywords

Intercell interference (ICI), LTE, Noise figure, Spectrum sharing, Wireless coexistence, WLAN.

Citation

Yoza Mitsuishi, N. , Ma, Y. and Coder, J. (2022), An SDR-Based Performance Measurement of LTE and WLAN Coexistence, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Virtual conference, CO, US, [online], https://doi.org/10.1109/pimrc54779.2022.9977746, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=935077 (Accessed October 17, 2025)