Electrical and Electronic Engineering - Research Publications

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    An Efficient Resource Allocation Mechanism for LTE-GEPON Converged Networks
    Ranaweera, C ; Wong, E ; Lim, C ; Nirmalathas, A ; Jayasundara, C (SPRINGER, 2014-07)
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    Estimating Video Popularity From Past Request Arrival Times in a VoD System
    Wang, T ; Jayasundara, C ; Zukerman, M ; Nirmalathas, A ; Wong, E ; Ranaweera, C ; Xing, C ; Moran, B (Institute of Electrical and Electronics Engineers (IEEE), 2020-01-31)
    Efficient provision of Video-on-Demand (VoD) services requires that popular videos are stored in a cache close to users. Video popularity (defined by requested count) prediction is, therefore, important for optimal choice of videos to be cached. The popularity of a video depends on many factors and, as a result, changes dynamically with time. Accurate video popularity estimation that can promptly respond to the variations in video popularity then becomes crucial. In this paper, we analyze a method, called Minimal Inverted Pyramid Distance (MIPD), to estimate a video popularity measure called the Inverted Pyramid Distance (IPD). MIPD requires choice of a parameter, $k$ , representing the number of past requests from each video used to calculate its IPD. We derive, analytically, expressions to determine an optimal value for $k$ , given the requirement on ranking a certain number of videos with specified confidence. In order to assess the prediction efficiency of MIPD, we have compared it by simulations against four other prediction methods: Least Recency Used (LRU), Least Frequency Used (LFU), Least Recently/Frequently Used (LRFU), and Exponential Weighted Moving Average (EWMA). Lacking real data, we have, based on an extensive literature review of real-life VoD system, designed a model of VoD system to provide a realistic simulation of videos with different patterns of popularity variation, using the Zipf (heavy-tailed) distribution of popularity and a non-homogeneous Poisson process for requests. From a large number of simulations, we conclude that the performance of MIPD is, in general, superior to all of the other four methods.
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    MAC protocol for indoor optical wireless networks
    Edirisinghe, S ; Lim, C ; Nirmalathas, A ; Wong, E ; Ranaweera, C ; Wang, K ; Alameh, K (Institution of Engineering and Technology, 2019-11-03)
    Optical wireless communication has emerged as a promising candidate for future high data rate indoor applications such as virtual reality. Even though physical layer of optical wireless networks has rapidly developed during last decade, upper layer architecture that harness the physical layer capabilities has not yet been developed in the same pace. To this end, the authors develop a novel contention-based medium access control (MAC) protocol that accompanies a service differentiation mechanism and a dynamic contention window tuning algorithm. The proposed service differentiation mechanism can identify the diverse traffic types and facilitate their throughput and delay requirements. To add more robustness to the contention-based MAC protocol which depends on contention windows to avoid collisions, the authors also propose an algorithm that dynamically changes the contention window sizes to suit the congestion level. They analyse the performance of the proposed MAC protocol under diverse network configurations and they show that it is far more effective to use end-user network metrics such as throughput in dynamic adaptation algorithms in addition to collision rate due to the wide range of traffic types present in the network. The proposed results demonstrate that the proposed MAC protocol can handle next-generation traffic types and their stringent latency requirements in an effective manner.
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    5G C-RAN With Optical Fronthaul: An Analysis From a Deployment Perspective
    Ranaweera, C ; Wong, E ; Nirmalathas, A ; Jayasundara, C ; Lim, C (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018-06-01)
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    Next Generation Optical-Wireless Converged Network Architectures
    RANAWEERA, CHATHURIKA ; WONG, ELAINE ; NIRMALATHAS, AMPALAVANAPILLAI ( 2012)