Variable Content Characteristic and Variable Network Coding for Wireless Digital Video Broadcasting Application

Ubong Ukommi

doi:doi:10.11648/j.wcmc.20251201.14

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Variable Content Characteristic and Variable Network Coding for Wireless Digital Video Broadcasting Application

Ubong Ukommi^*

Published in International Journal of Wireless Communications and Mobile Computing (Volume 12, Issue 1)

Received: 12 April 2025 Accepted: 23 April 2025 Published: 29 May 2025

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Abstract

Digital video broadcasting network facilitates distribution of real time video and video on demand services to global end users. This network has significant limitations stemming from scarced network resources to meet users popular demand of improved received quality. This research, presents a thorough investigation of variable content characteristic and application of variable network coding on digital video quality performance over wireless channel to enhance received video quality performance. In the proposed scheme, variable channel coding-rate is deployed to provide significant received quality performance gain by intelligently avoiding waste of limited network resources related to the fixed resource allocation necessary to guarantee acceptable quality performance. In order to assess the performance of the proposed scheme, experimental set up consisting of H.264 reference software for source coding, motion rate classifier and simulated wireless channel consisting of various channel coding and modulation schemes were adopted for this study. The test video samples were classified into high and low motion rate videos. In contrast, investigation of extension from fixed channel coding scheme to the application of variable channel coding-rate and modulation schemes in response to variable content motion-rate is analyzed over error free and poor channel conditions. The quality performance of received video quality over various wireless channel conditions is measured using standard objective algorithm, Peak-Signal-to-Noise-Ratio (PSNR). For the Soccer test video sample representing high motion rate videos, the 16QAM;1/2, the lower channel coding rate recorded the highest received video quality performance with PSNR value of 37.95dB compared to PSNR values of 33.29dB for 64QAM;1/2, and 24.40dB for the 64QAM;2/3 modulation and channel coding technique. Whereas, Akiyo test video sample representing low motion rate videos recorded significant quality performance of 51.19dB, 50.97dB and 39.93dB for 16QAM;1/2, 64QAM;1/2 and 64QAM;2/3 channel coding and modulation schemes, respectively.

Published in	International Journal of Wireless Communications and Mobile Computing (Volume 12, Issue 1)
DOI	10.11648/j.wcmc.20251201.14
Page(s)	35-45
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Coding, Content Characteristic, Video Broadcasting, Error Concealment, Error Protection, Network

References

[1]	Uko, M.; Ekpo, S.; Ukommi, U.; Iwok, U. and Alabi, S. (2025). Energy and Spectral Efficiency Analysis for UAV-to-UAV Communication in Dynamic Networks for Smart Cities. MDPI, Smart Cities, 8(2), 1-27. https://doi.org/10.3390/smartcities8020054
[2]	Kapsis, T. T. and Panagopoulos, A. D. (2021). Optimum Power Allocation Based on Channel Conditions in Optical Satellite Downlinks. Wireless Personal Communications, Springer, 116(2), 2997-3013. https://doi.org/10.1007/s11277-020-07831-z
[3]	Ekanem, K.; Ubom, E. and Ukommi, U. (2022). Analysis of rain Attenuation for Satellite Communication in Akwa Ibom State, Nigeria. International Conference and Exhibition on Power and Telecommunication (ICEPT 2022), The Nigerian Institute of Electrical and Electronic Engineers (NIEEE), 23-34.
[4]	Essien, A.; Ukommi, U.; and Ubom, E. (2024). Downlink Power Budget and Bit Error Analysis for LoRa-based Sensor Node-to-Satellite Link in the Industrial, Scientific and Medical Frequency. Signal and communication Technology, Springer, 143-152. https://doi.org/10.1007/978-3-031-53935-0_14
[5]	Paulikas, S.; Gursnys, D.; Anskaitis, A.; and Saltis, A. (2016). The Impact of Packet Loss on Quality of H.264/AVC Video Streaming. Elektronika IR Elektrotechnika, 22(2), 81-85. https://doi.org/10.5755/j01.eie.22.2.14596
[6]	Ukommi, U.; Arachchi, K.; Dogan, S.; and Kondoz, A. (2013). Content-Aware Bitrate Adaptation for Robust Mobile Video Services. IEEE International Symposium on Broadband Multimedia System and Braodcasting (BMSB), United Kingdom, 1-4. https://doi.org/10.1109/BMSB.2013.6621696
[7]	Yuan, J. (2020). Video data wireless transmission method based on cross-layer bitrate adaptation and error control. Multimedia Tools and Applications, 79(13), 9255-9266. https://doi.org/10.1007/s11042-019-7417-7
[8]	Choi, M., Xiang, T., Lim, H., Kim, Y., Ahn, M., Oh, S., & Kim, H. (2024). Caching, transcoding, delivery and learning for advanced video streaming services. ICT Express. 10(4) 774-785. https://doi.org/10.1016/j.icte.2024.05.012
[9]	Umoh, V.; Ukommi, U.; and Ekpe, U. (2022). A Comparative Study of User Experienced Mobile Broadband Performance. Nigerian Journal of technology (NIJOTECH), 41(3), 560-568. http://dx.doi.org/10.4314/njt.v41i3.16
[10]	Liu, Z., Chen, H., & Sun, S. (2020). Video Error-Resilience Research Based on Error-Resilient Screen Content. Applied Sciences, 10(14), 4923. https://doi.org/10.3390/app10144923
[11]	David, B. and Zhang, F. (2021). Communicating Pictures: Delivery Across Network. Intelligent Image and Video Compression, Second Edition, Academic Press, 385-434. https://doi.org/10.1016/B978-0-12-820353-8.00020-7
[12]	Friday, E. A., Olatunji, A. Y., and Oluwatosin, A. K, (2025). Cloud-Based Resource Management for Scalable Application Deployment. International Journal of Wireless Communications and Mobile Computing, 12(1), 1-15. https://doi.org/10.11648/j.wcmc.20251201.11
[13]	Oluropo, O., Ukommi, U., and Udoh, R., (2022). Comparative Coverage and Horizon Plane Analysis for LEO, MEO, GEO and HEO Satellites. Journal of Multidisciplinary Engineering Science and Research (JMESR), 1(2), 54-66.
[14]	Bai, Y.; Chu, Y. and Ito, M. (2011). Dynamic end-to-end QoS support for video over the Internet. International Journal of Electronics and Communication, Elsevier, 385-391. https://doi.org/10.1016/j.aeue.2010.07.002
[15]	Ukommi, U. (2020). Media-Motion-based resource Distribution for Mobile Video Networking. Nigerian Journal of technology (NIJOTECH), 39(4), 1183-1189. http://dx.doi.org/10.4314/njt.v39i4.26
[16]	Ukommi, U. (2022). Review of multimedia communication quality assessment techniques. Nigerian Journal of technology (NIJOTECH), 41(2), 330-338. http://dx.doi.org/10.4314/njt.v41i2.15
[17]	Simoes, W., and De Sa, M,. (2024). PSNR and SSIM: Evaluation of the Imperceptibility Quality of Images Transmitted over Wireless Networks. Procedia Computer Science, Elsevier, Volume 251, 463-470. https://doi.org/10.1016/j.procs.2024.11.134
[18]	Stival, L., & Pedrini, H. (2023). Survey on video colorization: concepts, methods and applications. Journal of Signal Processing Systems, 95(6), 679-702. https://doi.org/10.1007/s11265-023-01872-w
[19]	Okabe, S.; Ikeda, T.; Suginoshita, F.; Shogen, K.; Hirata, A.; Yaita, M.; Kukutsu, N. and Kado, Y. (2010). 10-Gbps Forward Error Correction System for 120-GHz-Band Wireless Transmission. IEEE Radio and Wireless Symposium (RWS), 472-475. https://doi.org/10.1109/APMC.2008.4957982
[20]	Peker, K. and Divakaran, A. (2004). Framework for Measurement of the Intensity of Motion activity of Video Segments. Journal of Visual Communications Image Representation, Elsevier, 15(2004), 265-284. https://doi.org/10.1016/j.jvcir.2004.04.007
[21]	Deniz, O. and Alatan, A. (2007). Video Adaptation Based on Content Characteristics and Hardware Capabilities. Second International Workshop on Semantic Media Adaptation and Personalization, Uxbridge, United Kingdom, IEEE, (SMAP 2007), 15-20, https://doi.org/10.1109/SMAP.2007.45
[22]	F. A. Ali, F. A., Simoens, P., Van de, W., Meerssche, B. and Dhoedt, B. (2014). Bandwidth efficient adaptive forward error correction mechanism with feedback channel. Journal of Communications and Networks, 16(3), 322-334. https://doi.org/10.1109/JCN.2014.000053
[23]	H.264/Advanced Video Codec refence software. Available from: https://iphome.hhi.de/suehring/tml/
[24]	Oduoye Israel & Ukommi, U., (2024). Evaluation of Energy Consumption and Battery Life Span for LoRa IoT Multisensor Node for Precision Farming Application. Signals and Communication Technology. Springer, 153-162. https://doi.org/10.1007/978-3-031-53935-0_15
[25]	Ubom, E.; Akpanobong, A.; and Ukommi, U. (2019). Spectrum Occupancy in Rural Nigeria: A case for A Lightly Licensed Spectrum Band for Rural Broadband Enhancement. International Journal of Computer Science and Information Technology, 11(4), 81-99. https://doi.org/10.5121/ijcsit.2019.11407
[26]	Okoro, A. E., Ubom, E. A., & Ukommi, U. S. (2024). Evaluation of Machine Learning Model for Network Anomaly Detection: Support Vector Machine. Journal of Engineering Research and Reports, 26(8), 326-342. https://doi.org/10.9734/jerr/2024/v26i81248
[27]	Uko, M, C, Ekpo, S., C., Ukommi, U and Kharel, R. (2015). Shadowing effect on Macro-Femto heterogeneous network for cell-edge users. Applied Computational Electromagnetics (ACES), Williamsburg, VA, USA, 2015. 1-2.
[28]	Uko, M, Ukommi, U, Ekpo, S, & Kharel, R (2016). Area Spectral Efficiency of a Macro-femto Heterogeneous Network for Cell-edge Users under Shadowing and Fading Effects. Appl. Computational Electromagnetics. 1043-1047.
[29]	Al-SurmiAli, I.; Mansoor, M. and Ahmed, A. (2021). Toward 5G High Utilizations: A survey on OFDMA-based Resource Allocation Techniques in Next-Generation Broadband Wireless Access Networks. EAI Endorsed Transactions on Mobile Communications and Applications, 1-15. http://dx.doi.org/10.4108/eai.10-2-2021.168713

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APA Style

Ukommi, U. (2025). Variable Content Characteristic and Variable Network Coding for Wireless Digital Video Broadcasting Application. International Journal of Wireless Communications and Mobile Computing, 12(1), 35-45. https://doi.org/10.11648/j.wcmc.20251201.14

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ACS Style

Ukommi, U. Variable Content Characteristic and Variable Network Coding for Wireless Digital Video Broadcasting Application. Int. J. Wirel. Commun. Mobile Comput. 2025, 12(1), 35-45. doi: 10.11648/j.wcmc.20251201.14

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AMA Style

Ukommi U. Variable Content Characteristic and Variable Network Coding for Wireless Digital Video Broadcasting Application. Int J Wirel Commun Mobile Comput. 2025;12(1):35-45. doi: 10.11648/j.wcmc.20251201.14

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@article{10.11648/j.wcmc.20251201.14,
  author = {Ubong Ukommi},
  title = {Variable Content Characteristic and Variable Network Coding for Wireless Digital Video Broadcasting Application
},
  journal = {International Journal of Wireless Communications and Mobile Computing},
  volume = {12},
  number = {1},
  pages = {35-45},
  doi = {10.11648/j.wcmc.20251201.14},
  url = {https://doi.org/10.11648/j.wcmc.20251201.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wcmc.20251201.14},
  abstract = {Digital video broadcasting network facilitates distribution of real time video and video on demand services to global end users. This network has significant limitations stemming from scarced network resources to meet users popular demand of improved received quality. This research, presents a thorough investigation of variable content characteristic and application of variable network coding on digital video quality performance over wireless channel to enhance received video quality performance. In the proposed scheme, variable channel coding-rate is deployed to provide significant received quality performance gain by intelligently avoiding waste of limited network resources related to the fixed resource allocation necessary to guarantee acceptable quality performance. In order to assess the performance of the proposed scheme, experimental set up consisting of H.264 reference software for source coding, motion rate classifier and simulated wireless channel consisting of various channel coding and modulation schemes were adopted for this study. The test video samples were classified into high and low motion rate videos. In contrast, investigation of extension from fixed channel coding scheme to the application of variable channel coding-rate and modulation schemes in response to variable content motion-rate is analyzed over error free and poor channel conditions. The quality performance of received video quality over various wireless channel conditions is measured using standard objective algorithm, Peak-Signal-to-Noise-Ratio (PSNR). For the Soccer test video sample representing high motion rate videos, the 16QAM;1/2, the lower channel coding rate recorded the highest received video quality performance with PSNR value of 37.95dB compared to PSNR values of 33.29dB for 64QAM;1/2, and 24.40dB for the 64QAM;2/3 modulation and channel coding technique. Whereas, Akiyo test video sample representing low motion rate videos recorded significant quality performance of 51.19dB, 50.97dB and 39.93dB for 16QAM;1/2, 64QAM;1/2 and 64QAM;2/3 channel coding and modulation schemes, respectively.
},
 year = {2025}
}

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TY  - JOUR
T1  - Variable Content Characteristic and Variable Network Coding for Wireless Digital Video Broadcasting Application

AU  - Ubong Ukommi
Y1  - 2025/05/29
PY  - 2025
N1  - https://doi.org/10.11648/j.wcmc.20251201.14
DO  - 10.11648/j.wcmc.20251201.14
T2  - International Journal of Wireless Communications and Mobile Computing
JF  - International Journal of Wireless Communications and Mobile Computing
JO  - International Journal of Wireless Communications and Mobile Computing
SP  - 35
EP  - 45
PB  - Science Publishing Group
SN  - 2330-1015
UR  - https://doi.org/10.11648/j.wcmc.20251201.14
AB  - Digital video broadcasting network facilitates distribution of real time video and video on demand services to global end users. This network has significant limitations stemming from scarced network resources to meet users popular demand of improved received quality. This research, presents a thorough investigation of variable content characteristic and application of variable network coding on digital video quality performance over wireless channel to enhance received video quality performance. In the proposed scheme, variable channel coding-rate is deployed to provide significant received quality performance gain by intelligently avoiding waste of limited network resources related to the fixed resource allocation necessary to guarantee acceptable quality performance. In order to assess the performance of the proposed scheme, experimental set up consisting of H.264 reference software for source coding, motion rate classifier and simulated wireless channel consisting of various channel coding and modulation schemes were adopted for this study. The test video samples were classified into high and low motion rate videos. In contrast, investigation of extension from fixed channel coding scheme to the application of variable channel coding-rate and modulation schemes in response to variable content motion-rate is analyzed over error free and poor channel conditions. The quality performance of received video quality over various wireless channel conditions is measured using standard objective algorithm, Peak-Signal-to-Noise-Ratio (PSNR). For the Soccer test video sample representing high motion rate videos, the 16QAM;1/2, the lower channel coding rate recorded the highest received video quality performance with PSNR value of 37.95dB compared to PSNR values of 33.29dB for 64QAM;1/2, and 24.40dB for the 64QAM;2/3 modulation and channel coding technique. Whereas, Akiyo test video sample representing low motion rate videos recorded significant quality performance of 51.19dB, 50.97dB and 39.93dB for 16QAM;1/2, 64QAM;1/2 and 64QAM;2/3 channel coding and modulation schemes, respectively.

VL  - 12
IS  - 1
ER  -

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Author Information

Ubong Ukommi

Department of Electrical and Electronic Engineering, Akwa Ibom State University, Ikot Akpaden, Nigeria

Contact Email

http://orcid.org/0000-0002-3476-2308

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APA Style

Ukommi, U. (2025). Variable Content Characteristic and Variable Network Coding for Wireless Digital Video Broadcasting Application. International Journal of Wireless Communications and Mobile Computing, 12(1), 35-45. https://doi.org/10.11648/j.wcmc.20251201.14

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ACS Style

Ukommi, U. Variable Content Characteristic and Variable Network Coding for Wireless Digital Video Broadcasting Application. Int. J. Wirel. Commun. Mobile Comput. 2025, 12(1), 35-45. doi: 10.11648/j.wcmc.20251201.14

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AMA Style

Ukommi U. Variable Content Characteristic and Variable Network Coding for Wireless Digital Video Broadcasting Application. Int J Wirel Commun Mobile Comput. 2025;12(1):35-45. doi: 10.11648/j.wcmc.20251201.14

Copy | Download

@article{10.11648/j.wcmc.20251201.14,
  author = {Ubong Ukommi},
  title = {Variable Content Characteristic and Variable Network Coding for Wireless Digital Video Broadcasting Application
},
  journal = {International Journal of Wireless Communications and Mobile Computing},
  volume = {12},
  number = {1},
  pages = {35-45},
  doi = {10.11648/j.wcmc.20251201.14},
  url = {https://doi.org/10.11648/j.wcmc.20251201.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wcmc.20251201.14},
  abstract = {Digital video broadcasting network facilitates distribution of real time video and video on demand services to global end users. This network has significant limitations stemming from scarced network resources to meet users popular demand of improved received quality. This research, presents a thorough investigation of variable content characteristic and application of variable network coding on digital video quality performance over wireless channel to enhance received video quality performance. In the proposed scheme, variable channel coding-rate is deployed to provide significant received quality performance gain by intelligently avoiding waste of limited network resources related to the fixed resource allocation necessary to guarantee acceptable quality performance. In order to assess the performance of the proposed scheme, experimental set up consisting of H.264 reference software for source coding, motion rate classifier and simulated wireless channel consisting of various channel coding and modulation schemes were adopted for this study. The test video samples were classified into high and low motion rate videos. In contrast, investigation of extension from fixed channel coding scheme to the application of variable channel coding-rate and modulation schemes in response to variable content motion-rate is analyzed over error free and poor channel conditions. The quality performance of received video quality over various wireless channel conditions is measured using standard objective algorithm, Peak-Signal-to-Noise-Ratio (PSNR). For the Soccer test video sample representing high motion rate videos, the 16QAM;1/2, the lower channel coding rate recorded the highest received video quality performance with PSNR value of 37.95dB compared to PSNR values of 33.29dB for 64QAM;1/2, and 24.40dB for the 64QAM;2/3 modulation and channel coding technique. Whereas, Akiyo test video sample representing low motion rate videos recorded significant quality performance of 51.19dB, 50.97dB and 39.93dB for 16QAM;1/2, 64QAM;1/2 and 64QAM;2/3 channel coding and modulation schemes, respectively.
},
 year = {2025}
}

Copy | Download

TY  - JOUR
T1  - Variable Content Characteristic and Variable Network Coding for Wireless Digital Video Broadcasting Application

AU  - Ubong Ukommi
Y1  - 2025/05/29
PY  - 2025
N1  - https://doi.org/10.11648/j.wcmc.20251201.14
DO  - 10.11648/j.wcmc.20251201.14
T2  - International Journal of Wireless Communications and Mobile Computing
JF  - International Journal of Wireless Communications and Mobile Computing
JO  - International Journal of Wireless Communications and Mobile Computing
SP  - 35
EP  - 45
PB  - Science Publishing Group
SN  - 2330-1015
UR  - https://doi.org/10.11648/j.wcmc.20251201.14
AB  - Digital video broadcasting network facilitates distribution of real time video and video on demand services to global end users. This network has significant limitations stemming from scarced network resources to meet users popular demand of improved received quality. This research, presents a thorough investigation of variable content characteristic and application of variable network coding on digital video quality performance over wireless channel to enhance received video quality performance. In the proposed scheme, variable channel coding-rate is deployed to provide significant received quality performance gain by intelligently avoiding waste of limited network resources related to the fixed resource allocation necessary to guarantee acceptable quality performance. In order to assess the performance of the proposed scheme, experimental set up consisting of H.264 reference software for source coding, motion rate classifier and simulated wireless channel consisting of various channel coding and modulation schemes were adopted for this study. The test video samples were classified into high and low motion rate videos. In contrast, investigation of extension from fixed channel coding scheme to the application of variable channel coding-rate and modulation schemes in response to variable content motion-rate is analyzed over error free and poor channel conditions. The quality performance of received video quality over various wireless channel conditions is measured using standard objective algorithm, Peak-Signal-to-Noise-Ratio (PSNR). For the Soccer test video sample representing high motion rate videos, the 16QAM;1/2, the lower channel coding rate recorded the highest received video quality performance with PSNR value of 37.95dB compared to PSNR values of 33.29dB for 64QAM;1/2, and 24.40dB for the 64QAM;2/3 modulation and channel coding technique. Whereas, Akiyo test video sample representing low motion rate videos recorded significant quality performance of 51.19dB, 50.97dB and 39.93dB for 16QAM;1/2, 64QAM;1/2 and 64QAM;2/3 channel coding and modulation schemes, respectively.

VL  - 12
IS  - 1
ER  -

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