{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T16:32:12Z","timestamp":1776443532942,"version":"3.51.2"},"reference-count":28,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T00:00:00Z","timestamp":1723507200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Science and Technology Council, Taiwan","award":["NSTC 112-2221-E-027-091"],"award-info":[{"award-number":["NSTC 112-2221-E-027-091"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>The bit error rate (BER) in relation to the signal-to-noise ratio (SNR) serves as a widely recognized metric for assessing the performance of communication systems. The concept of SNR is so integral that many existing studies presume its definition to be understood, often omitting the specifics of its calculation in their simulations. Notably, the computation of SNR from the perspective of the transmitter yields distinct behaviors and outcomes compared to that from the receiver\u2019s side, particularly when the channel encompasses more than mere noise. Typically, research papers utilize the transmitter-side (or ensemble-average) SNR to benchmark the BER performance across various methodologies. Conversely, the receiver-side (or short-term) SNR becomes pertinent when prioritizing the receiver\u2019s performance. In the context of simulating the long-term evolution (LTE) downlink, applying both SNR calculation approaches reveals that the receiver-side SNR not only produces a significantly lower BER compared to the transmitter-side SNR but also alters the relative BER performance rankings among the channel models tested. It is deduced that while the transmitter-side SNR is apt for broad performance comparisons, it falls short in thoroughly examining the BER behavior of a receiver across varying SNR scenarios. Therefore, the transmitter-side SNR is useful when comparing the performance of the simulated system with other studies. Conversely, if the primary concern is the actual BER performance of the receiver, the receiver-side SNR could provide a more accurate performance assessment.<\/jats:p>","DOI":"10.3390\/info15080479","type":"journal-article","created":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T10:54:54Z","timestamp":1723546494000},"page":"479","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Which Signal-to-Noise Ratio Is Used in Simulations? Transmitter Side versus Receiver Side: A Study Based on Long Term Evolution Downlink Transmission"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3182-2202","authenticated-orcid":false,"given":"Yu-Sun","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Electronic Engineering, National Taipei University of Technology, Taipei 10608, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8745-1300","authenticated-orcid":false,"given":"Shingchern D.","family":"You","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei 10608, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zong-Ru","family":"Jhan","sequence":"additional","affiliation":[{"name":"Research and Development Department, Actiontec Electronics, Inc., Taipei 106, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meng-Fan","family":"Li","sequence":"additional","affiliation":[{"name":"Software Development Department, A-MTK Co., Ltd., New Taipei City 235, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,8,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Yang, K., Huang, Z., Wang, X., and Wang, F. (2019). An SNR Estimation Technique Based on Deep Learning. Electronics, 8.","DOI":"10.3390\/electronics8101139"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1049\/iet-map:20080041","article-title":"Mean effective gain of antennas in a wireless channel","volume":"3","author":"Glazunov","year":"2009","journal-title":"IET Microw. Antennas Propag."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1109\/LCOMM.2022.3211206","article-title":"Channel power gain estimation for terahertz vehicle-to-infrastructure networks","volume":"27","author":"Lin","year":"2022","journal-title":"IEEE Commun. Lett."},{"key":"ref_4","unstructured":"Liu, Y.-S., You, S.D., Jhan, Z.-R., and Li, M.-F. (2018, January 15\u201316). Comparative study of two signal-to-noise ratio calculation methods in LTE downlink simulations. Proceedings of the Wireless Internet: 11th EAI International Conference, WiCON 2018, Taipei, Taiwan."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"924","DOI":"10.1090\/S0002-9939-1961-0136471-3","article-title":"Ergodic and mixing properties of infinite memory channels","volume":"12","author":"Adler","year":"1961","journal-title":"Proc. Am. Math. Soc."},{"key":"ref_6","unstructured":"Nee, R., and Prasad, R. (2000). OFDM for Wireless Multimedia Communications, Artec House."},{"key":"ref_7","first-page":"414","article-title":"Least squares interpolation methods for LTE system channel estimation over extended ITU channels","volume":"3","author":"Adegbite","year":"2013","journal-title":"Int. J. Inf. Electron. Eng."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Weng, F., Yin, C., and Luo, T. (2010, January 24\u201326). Channel estimation for the downlink of 3GPP-LTE systems. Proceedings of the 2010 2nd IEEE International Conference on Network Infrastructure and Digital Content, Beijing, China.","DOI":"10.1109\/ICNIDC.2010.5657955"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Sesia, S., Toufik, I., and Baker, M. (2011). LTE\u2014The UMTS Long Term Evolution: From Theory to Practice, John Wiley & Sons.","DOI":"10.1002\/9780470978504"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Rumney, M. (2013). LTE and the Evolution to 4G Wireless: Design and Measurement Challenges, John Wiley & Sons. [2nd ed.].","DOI":"10.1002\/9781118799475"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1906","DOI":"10.1049\/iet-com.2015.0117","article-title":"Iterative channel estimation method for long-term evolution downlink transmission","volume":"9","author":"Liu","year":"2015","journal-title":"IET Commun."},{"key":"ref_12","unstructured":"3GPP (2013). LTE Evolved Universal Terrestrial Radio Access (E-UTRA); User Equipment (UE) Radio Transmission and Reception, 3GPP. 3GPP TS 36.101."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Blazek, T., Ashury, M., Mecklenbr\u00e4uker, C.F., Smely, D., and Ghiaasi, G. (2017, January 29\u201331). Vehicular channel models: A system level performance analysis of tapped delay line models. Proceedings of the 2017 15th International Conference on ITS Telecommunications (ITST), Warsaw, Poland.","DOI":"10.1109\/ITST.2017.7972222"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Hassan, N., Thom\u00e4, R., and Matolak, D.W. (2020, January 15\u201320). In-stationary tapped delay line channel modeling and simulation. Proceedings of the 2020 14th European Conference on Antennas and Propagation (EuCAP), Copenhagen, Denmark.","DOI":"10.23919\/EuCAP48036.2020.9135571"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1979","DOI":"10.1049\/iet-com.2011.0414","article-title":"Cubic convolution interpolation function with variable coefficients and its application to channel estimation for IEEE 802.16 initial downlink","volume":"6","author":"You","year":"2012","journal-title":"IET Commun."},{"key":"ref_16","unstructured":"Prasad, R. (2004). OFDM for Wireless Communications Systems, Artec House."},{"key":"ref_17","unstructured":"3GPP (2003). System-Level Evaluation of OFDM\u2014Further Considerations, 3GPP. Ericsson, 3GPP TSG-RAN WG1 35, R1-031303."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"3436","DOI":"10.1109\/TWC.2011.081011.102247","article-title":"An accurate model for EESM and its application to analysis of CQI feedback schemes and scheduling in LTE","volume":"10","author":"Donthi","year":"2011","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_19","unstructured":"Paunov, P., Camargo, A., and Czylwik, A. (2007, January 26\u201327). EESM as a link to system level interface for MIMO OFDM systems based on QOSFBC. Proceedings of the ITG\/IEEE Workshop on Smart Antennas, Vienna, Austria."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.aci.2017.09.008","article-title":"LTE physical layer: Performance analysis and evaluation","volume":"15","author":"Mousavi","year":"2019","journal-title":"Appl. Comput. Inform."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Liu, Y.-S., You, S.D., and Lai, Y.-C. (2024). Machine Learning-Based Channel Estimation Techniques for ATSC 3.0. Information, 15.","DOI":"10.3390\/info15060350"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Oyerinde, O.O., Flizikowski, A., Marciniak, T., Zelenchuk, D., and Ngatched, T.M.N. (2024). Compressive Sensing-Based Channel Estimation for Uplink and Downlink Reconfigurable Intelligent Surface-Aided Millimeter Wave Massive MIMO Systems. Electronics, 13.","DOI":"10.3390\/electronics13152909"},{"key":"ref_23","unstructured":"Rao, K.D. (2015). Channel Coding Techniques for Wireless Communications, Springer."},{"key":"ref_24","unstructured":"Haykin, S.S., and Van Veen, B. (1999). Signals and Systems, John Wiley & Sons."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1109\/25.293655","article-title":"Information theoretic considerations for cellular mobile radio","volume":"43","author":"Ozarow","year":"1994","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"2619","DOI":"10.1109\/18.720551","article-title":"Fading channels: Information theoretic and communications aspects","volume":"44","author":"Biglieri","year":"1998","journal-title":"IEEE Trans. Inf. Theory"},{"key":"ref_27","unstructured":"Xiao, C., and Zheng, Y.R. (2003, January 1\u20133). Ergodic capacity, capacity distribution and outage capacity of MIMO time-varying and frequency selective Rayleigh fading channels. Proceedings of the 41st Annual Allerton Conference on Communication, Control, and Computing, Monticello, UT, USA."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1727","DOI":"10.1109\/26.957394","article-title":"Convergence behavior of iteratively decoded parallel concatenated codes","volume":"49","year":"2001","journal-title":"IEEE Trans. Commun."}],"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/15\/8\/479\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T15:35:50Z","timestamp":1760110550000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/15\/8\/479"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,13]]},"references-count":28,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2024,8]]}},"alternative-id":["info15080479"],"URL":"https:\/\/doi.org\/10.3390\/info15080479","relation":{},"ISSN":["2078-2489"],"issn-type":[{"value":"2078-2489","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8,13]]}}}