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Edward Mutafungwa
Researcher at Aalto University
Publications - 78
Citations - 737
Edward Mutafungwa is an academic researcher from Aalto University. The author has contributed to research in topics: Wavelength-division multiplexing & Backhaul (telecommunications). The author has an hindex of 12, co-authored 76 publications receiving 627 citations. Previous affiliations of Edward Mutafungwa include Waseda University & Helsinki University of Technology.
Papers
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Journal ArticleDOI
Performance Evaluation of Next Generation Free-Space Optical Communication System
Kamugisha Kazaura,Kazunori Omae,Toshiji Suzuki,Mitsuji Matsumoto,Edward Mutafungwa,Tadaaki Murakami,Koichi Takahashi,Hideki Matsumoto,Kazuhiko Wakamori,Yoshinori Arimoto +9 more
TL;DR: Experimental results of the FSO system capable of offering stable performance in terms of measured bit-error-rate (BER) showing error free transmission at 2.5 Gbps over extended period of time and improved fiber received power are presented.
Journal ArticleDOI
Multiclass optical orthogonal codes for multiservice optical CDMA networks
TL;DR: A proposal of generation procedure and performance analysis of joint multiweight multilength strict OOCs using pure algebraic techniques and the mark position difference (MPD) approach is used to generate in a flexible way the multiclass code set.
Journal ArticleDOI
Enhancing performance of next generation FSO communication systems using soft computing based predictions
Kamugisha Kazaura,Kazunori Omae,Toshiji Suzuki,Mitsuji Matsumoto,Edward Mutafungwa,Timo Korhonen,Tadaaki Murakami,Koichi Takahashi,Hideki Matsumoto,Kazuhiko Wakamori,Yoshinori Arimoto +10 more
TL;DR: This work investigates the suitability of utilizing soft-computing (SC) based tools for improving performance of free-space optical (FSO) communications systems and proposes a proposed multi-layer neural network predictor (MNNP) used to predict future parameter values.
Journal ArticleDOI
Power control of optical CDMA star networks
TL;DR: This paper shows in the interference-limited case that the network performance is upper bounded by the number of nodes and the correlation properties of the employed code rather than network attenuation and optical fiber lengths, and uses network partitioning to simplify optimum power calculations.
5G PPP Architecture Working Group: View on 5G Architecture
Simone Redana,Omer Bulakci,Anastasios Zafeiropoulos,Anastasius Gavras,Anna Tzanakaki,Antonino Albanese,Apostolos Kousaridas,Avi Weit,Bessem Sayadi,Boris Tiomela Jou,Carlos J. Bernardos,Chafika Benzaid,Christian Mannweiler,Daniel Camps-Mur,David Breitgand,David Gutierrez Estevez,David Navratil,De Mi,Diego R. Lopez,Dimitrios Klonidis,Edward Mutafungwa,Eleni Fotopoulou,Emmanouil Kafetzakis,Emmanouil Pateromichelakis,Erez Biton,Fasil B. Tesema,George Kalfas,Holger Karl,Jens Bartelt,Jesus Gutierrez,John Cosmas,John Thomson,Jordi Joan Gimenez,Jose M. Alcaraz Calero,Josep Mangues-Bafalluy,Kostas Katsalis,Laurent Gallo,Marco Gramaglia,Maria Rita Spada,Mukhald Salih,Navid Nikaein,Nawar Jawad,Nebojsa Maletic,Panagiotis Demestichas,Peer Hasselmeyer,Qi Wang,Wei Qing,Refik Fatih Ustok,Rolf Blom,Salvatore Pontarelli,Selcuk Keskin,Stefano Salsano,Stephanie Parker,Thomas Deiss,Ugur Acar,Xi Li,Yue Zhang +56 more