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Amila Tharaperiya Gamage
Researcher at University of Waterloo
Publications - 17
Citations - 560
Amila Tharaperiya Gamage is an academic researcher from University of Waterloo. The author has contributed to research in topics: Resource allocation & Quality of service. The author has an hindex of 9, co-authored 17 publications receiving 497 citations. Previous affiliations of Amila Tharaperiya Gamage include Asian Institute of Technology & Cisco Systems, Inc..
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Journal ArticleDOI
Cloud assisted HetNets toward 5G wireless networks
TL;DR: A cloud based platform is introduced, aiming to simplify the deployment, operation and management, and facilitate round-the-clock optimization of the network, to pave the way for the development of 5G.
Journal ArticleDOI
A Survey on High Efficiency Wireless Local Area Networks: Next Generation WiFi
Hassan Aboubakr Omar,Khadige Abboud,Nan Cheng,Kamal Rahimi Malekshan,Amila Tharaperiya Gamage,Weihua Zhuang +5 more
TL;DR: This paper presents potential techniques that can be applied for HEWs, in order to achieve the required performance in dense HEW deployment scenarios, as expected in the near future.
Journal ArticleDOI
Uplink Decentralized Joint Bandwidth and Power Allocation for Energy-Efficient Operation in a Heterogeneous Wireless Medium
Muhammad Ismail,Amila Tharaperiya Gamage,Weihua Zhuang,Xuemin Shen,Erchin Serpedin,Khalid A. Qaraqe +5 more
TL;DR: A quality of service (QoS)-based optimization framework is developed for joint uplink bandwidth and power allocation to maximize energy efficiency for a set of MTs with multi-homing capabilities and improved performance over a state-of-the-art benchmark.
Journal ArticleDOI
Device-to-device communication underlaying converged heterogeneous networks
TL;DR: This article proposes a resource allocation scheme that performs mode selection, allocation of WLAN resources, and allocation of LTE-A network resources in three different timescales, and the achievable performance improvements are demonstrated via simulation results.
Proceedings ArticleDOI
Energy efficient uplink resource allocation in a heterogeneous wireless medium
TL;DR: A joint bandwidth and power allocation framework that maximizes energy efficiency for a set of MTs, in different service areas, with best effort service and multi-homing capabilities is developed.