3GPP 5G V2X Scenarios: Performance of QoS Parameters Using Turbo Codes
Cellular vehicle-to-everything (C-V2X) communication has recently gained attention in industry and academia. Different implementation scenarios have been derived by the 3rd Generation Partnership Project (3GPP) 5th Generation (5G) Vehicle-to-Everything (V2X) standard, Release 16. Quality of service...
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| Format: | Article |
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MDPI AG
2022-03-01
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| Series: | Telecom |
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| Online Access: | https://www.mdpi.com/2673-4001/3/1/12 |
| _version_ | 1797441445385207808 |
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| author | Dimitrios Kosmanos Costas Chaikalis Ilias K. Savvas |
| author_facet | Dimitrios Kosmanos Costas Chaikalis Ilias K. Savvas |
| author_sort | Dimitrios Kosmanos |
| collection | DOAJ |
| description | Cellular vehicle-to-everything (C-V2X) communication has recently gained attention in industry and academia. Different implementation scenarios have been derived by the 3rd Generation Partnership Project (3GPP) 5th Generation (5G) Vehicle-to-Everything (V2X) standard, Release 16. Quality of service (QoS) is important to achieve reliable communication and parameters which have to be considered are reliability, end-to-end latency, data rate, communication range, throughput and vehicle density for an urban area. However, it would be desirable to design a dynamic selecting system (with emphasis on channel coding parameters selection) so that all QoS parameters are satisfied. Having this idea in mind, in this work we examine nine V2X implementation scenarios using Long Term Evolution (LTE) turbo coding with a geometry−based efficient propagation model for vehicle-to-vehicle communication (GEMV), where we consider the above QoS parameters for SOVA, log-MAP and max-log-MAP decoding algorithms. Our study is suitable for 3GPP cooperative sensing, for the eight scenarios considering medium and large signal-noise-ratio (SNR) values. The proposed model is sustainable despite a doubled data rate, which results in a minimal bit error rate (BER) performance loss up to 1.85 dB. In this case tripling the data rate results in a further 1 dB loss. Moreover, a small loss up to 0.4 dB is seen for a vehicle speed increase from 60 km/h to 100 km/h. Finally, increasing vehicle density has no effect on the implemented 3GPP scenario considering end-to-end latency, irrespectively from the decoding algorithm. |
| first_indexed | 2024-03-09T12:24:09Z |
| format | Article |
| id | doaj.art-cf5c78ecc4744637b0c69790a61d6bf3 |
| institution | Directory Open Access Journal |
| issn | 2673-4001 |
| language | English |
| last_indexed | 2024-03-09T12:24:09Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Telecom |
| spelling | doaj.art-cf5c78ecc4744637b0c69790a61d6bf32023-11-30T22:37:36ZengMDPI AGTelecom2673-40012022-03-013117419410.3390/telecom30100123GPP 5G V2X Scenarios: Performance of QoS Parameters Using Turbo CodesDimitrios Kosmanos0Costas Chaikalis1Ilias K. Savvas2Department of Electrical & Computer Engineering, University of Thessaly, 38334 Volos, GreeceDepartment of Digital Systems, School of Technology, University of Thessaly, Geopolis Campus, 41500 Larissa, GreeceDepartment of Digital Systems, School of Technology, University of Thessaly, Geopolis Campus, 41500 Larissa, GreeceCellular vehicle-to-everything (C-V2X) communication has recently gained attention in industry and academia. Different implementation scenarios have been derived by the 3rd Generation Partnership Project (3GPP) 5th Generation (5G) Vehicle-to-Everything (V2X) standard, Release 16. Quality of service (QoS) is important to achieve reliable communication and parameters which have to be considered are reliability, end-to-end latency, data rate, communication range, throughput and vehicle density for an urban area. However, it would be desirable to design a dynamic selecting system (with emphasis on channel coding parameters selection) so that all QoS parameters are satisfied. Having this idea in mind, in this work we examine nine V2X implementation scenarios using Long Term Evolution (LTE) turbo coding with a geometry−based efficient propagation model for vehicle-to-vehicle communication (GEMV), where we consider the above QoS parameters for SOVA, log-MAP and max-log-MAP decoding algorithms. Our study is suitable for 3GPP cooperative sensing, for the eight scenarios considering medium and large signal-noise-ratio (SNR) values. The proposed model is sustainable despite a doubled data rate, which results in a minimal bit error rate (BER) performance loss up to 1.85 dB. In this case tripling the data rate results in a further 1 dB loss. Moreover, a small loss up to 0.4 dB is seen for a vehicle speed increase from 60 km/h to 100 km/h. Finally, increasing vehicle density has no effect on the implemented 3GPP scenario considering end-to-end latency, irrespectively from the decoding algorithm.https://www.mdpi.com/2673-4001/3/1/125GV2Vturbo codesGEMV modelQoS parametersimplementation scenarios |
| spellingShingle | Dimitrios Kosmanos Costas Chaikalis Ilias K. Savvas 3GPP 5G V2X Scenarios: Performance of QoS Parameters Using Turbo Codes Telecom 5G V2V turbo codes GEMV model QoS parameters implementation scenarios |
| title | 3GPP 5G V2X Scenarios: Performance of QoS Parameters Using Turbo Codes |
| title_full | 3GPP 5G V2X Scenarios: Performance of QoS Parameters Using Turbo Codes |
| title_fullStr | 3GPP 5G V2X Scenarios: Performance of QoS Parameters Using Turbo Codes |
| title_full_unstemmed | 3GPP 5G V2X Scenarios: Performance of QoS Parameters Using Turbo Codes |
| title_short | 3GPP 5G V2X Scenarios: Performance of QoS Parameters Using Turbo Codes |
| title_sort | 3gpp 5g v2x scenarios performance of qos parameters using turbo codes |
| topic | 5G V2V turbo codes GEMV model QoS parameters implementation scenarios |
| url | https://www.mdpi.com/2673-4001/3/1/12 |
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