Cost and energy efficient multi-standard OFDM integrated optical access and in-building network architecture

Author(s):  
Roberto Llorente ◽  
Marta Beltran ◽  
Maria Morant ◽  
Eloi Pellicer
2015 ◽  
Vol 19 (4) ◽  
pp. 340-345 ◽  
Author(s):  
Kunitaka Ashizawa ◽  
Satoru Okamoto ◽  
Naoaki Yamanaka ◽  
Eiji Oki ◽  
Andrea Fumagalli ◽  
...  

2021 ◽  
Vol 61 ◽  
pp. 102422
Author(s):  
Amit Kumar Garg ◽  
Vijay Janyani ◽  
Bostjan Batagelj ◽  
N.H. Zainol Abidin ◽  
M.H. Abu Bakar

2015 ◽  
Vol 7 (8) ◽  
pp. 785 ◽  
Author(s):  
Tolga Ayhan ◽  
Dusan Suvakovic ◽  
Hungkei Chow ◽  
Leonid G. Kazovsky

2012 ◽  
Author(s):  
Ninrat B. Datiri ◽  
Ali Mirvakili ◽  
Chirag Sthalekar ◽  
Enjin Fu ◽  
Chenguang Xi ◽  
...  

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 94697-94718
Author(s):  
Hatem A. Alharbi ◽  
Taisir E. H. Elgorashi ◽  
Jaafar M. H. Elmirghani

2020 ◽  
Vol 407 ◽  
pp. 300-312 ◽  
Author(s):  
Hoyoung Tang ◽  
Donghyeon Cho ◽  
Dongwoo Lew ◽  
Taehwan Kim ◽  
Jongsun Park

2020 ◽  
Vol 12 (6) ◽  
pp. 2264 ◽  
Author(s):  
Hamzeh Khalili ◽  
David Rincón ◽  
Sebastià Sallent ◽  
José Ramón Piney

The rapid deployment of passive optical access networks (PONs) increases the global energy consumption of networking infrastructure. This paper focuses on the minimization of energy consumption in Ethernet PONs (EPONs). We present an energy-efficient, distributed dynamic bandwidth allocation (DBA) algorithm able to power off the transmitter and receiver of an optical network unit (ONU) when there is no upstream or downstream traffic. Our main contribution is combining the advantages of a distributed DBA (namely, a smaller packet delay compared to centralized DBAs, due to less time being needed to allocate the transmission slot) with energy saving features (that come at a price of longer delays due to the longer queue waiting times when transmitters are switched off). The proposed algorithm analyzes the queue size of the ONUs in order to switch them to doze/sleep mode when there is no upstream/downstream traffic in the network, respectively. Our results show that we minimized the ONU energy consumption across a wide range of network loads while keeping delay bounded.


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