On the Area Expected Distortion of Scalable Videos in Multi-Frequency System

Citation

Govindasamy, Karthiyayeni and Mahmud, Azwan and Thiagarajah, Siva Priya and Abd. Aziz, Azlan and Roslee, Mardeni (2020) On the Area Expected Distortion of Scalable Videos in Multi-Frequency System. In: 2020 IEEE 5th International Symposium on Telecommunication Technologies (ISTT), 9 November 2020, Virtual Conference, Kuala Lumpur, Malaysia.

[img] Text
81.pdf
Restricted to Repository staff only

Download (1MB)

Abstract

We investigate new performance analysis of multi-channel Scalable Video Coding (SVC) in multifrequency system using Area Expected Distortion (AED). We begin by outlining the obtained explicit expression of AED in multi-frequency system namely fractional frequency reuse (FFR), for single layer and two-layer SVC. We start with mathematical model for single-layer and two-layered SVC, where expected distortion of the SVC that depends on the trade-off between the probability of outage and quantization accuracy is derived. The novel performance measurement of AED is then used to measure the relationship between the average distortion rate, outage probability and channel allocation per area in multifrequency systems. Analysis of AED for FFR shows that the two-layer SVC outperforms the single layer transmission with 60 percent lesser expected distortion at 20dB, and we deduced a system parameter for two layer SVC, that given minimum AED when the threshold distance is at 0.86km and 0.78km at 20dB and 0dB respectively. The analytical results are verified using the Monte Carlo simulations.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Electric interference, Distortion
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 10 Sep 2021 10:10
Last Modified: 10 Sep 2021 10:18
URII: http://shdl.mmu.edu.my/id/eprint/8504

Downloads

Downloads per month over past year

View ItemEdit (login required)