Abstract
The annual need for digital wireless data continues to grow significantly, and the number of wireless devices is rapidly increasing, creating problems for current networks. Video data representing approximately 90% of the total data transmitted through networks constitute the most frequent data sent over these networks. To serve the greatest number of users, the volume of video data services needed by each user needs to be decreased. One of the goals of this paper is to improve existing mobile networks to help them meet the IMT-2022 specifications of high throughput and low latency. This paper is also devoted to developing a new video encoder model to provide the greatest number of users with video services by reducing the consumption of video data and cutting its volume. The proposed wireless scheme has the potential to support nearly 16% more consumers than LTE-ADV systems, while video encoding with the proposed wireless scheme can provide nearly 136% and 36% more users than LTE with H.265 and LTE-ADV with H.265, respectively.
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Ibrahim, S.K., Khamiss, N.N. (2022). An Improved Video Coding Model for Future IMT Requirements. In: Liatsis, P., Hussain, A., Mostafa, S.A., Al-Jumeily, D. (eds) Emerging Technology Trends in Internet of Things and Computing. TIOTC 2021. Communications in Computer and Information Science, vol 1548. Springer, Cham. https://doi.org/10.1007/978-3-030-97255-4_19
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