Impact of Client- and Line-Side Flexibility in the Lifecycle of Next-Generation Transport Networks [Invited]

António Eira; Marco Quagliotti; João Pedro

doi:10.1364/JOCN.8.00A101

Journal of Optical Communications and Networking
Vol. 8,
Issue 7,
pp. A101-A115
(2016)
•https://doi.org/10.1364/JOCN.8.00A101

Impact of Client- and Line-Side Flexibility in the Lifecycle of Next-Generation Transport Networks [Invited]

António Eira, Marco Quagliotti, and João Pedro

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António Eira, Marco Quagliotti, and João Pedro, "Impact of Client- and Line-Side Flexibility in the Lifecycle of Next-Generation Transport Networks [Invited]," J. Opt. Commun. Netw. 8, A101-A115 (2016)

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Abstract

Fast developments in the transport network ecosystem are putting into question the foundations on which to base next-generation backbone networks. Flexibility is touted as an essential requirement to cope with traffic increasing in volume and unpredictability. Based on this principle, flexible transmission modules such as the sliceable bandwidth-variable transponder (SBVT) have been proposed to exploit the networking advantages of flexible-grid networks and more advanced modulation formats. Although the network-wide benefits of SBVTs have been the object of many studies, these do not usually consider the type of client architectures supporting them, which is critical in order to account for constraint introduced by specific architectures and emulate an operator’s management of its network infrastructure over time in a convincing way. The purpose of this paper is to perform a realistic techno-economic comparison between architectures based on fixed and flexible client- and line-side elements. The relevant parameters regarding cost, traffic, and equipment availability over each planning period are modeled and conveyed to a multi-period optimization framework based on integer linear programming models tailored to cost-effectively dimension the network for each client- and line-side architecture. The simulation examines the impact in each scenario of shifting client traffic patterns (from 10G/100G to 100G/400G) and the gradual introduction of higher-capacity network elements. Its results provide insight on the cost and spectrum utilization impact of deploying fixed transponders or SBVTs, coupled with fixed and flexible client-to-line interconnections, and how each of these alternatives copes with aggregated traffic increases of 400% over several years in national and pan-European backbone network topologies.

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Reference Cost	Symbol	Value (ICU)
Client front end	$C_{CFE}^{ref}$	0.15
Switching fabric module	$C_{SFM}^{ref}$	0.10
Electronic processing	$C_{EP}^{ref}$	0.40
Optical front end	$C_{OFE}^{ref}$	0.45

Parameter	Symbol	Value
Electronic capacity scaling discount	$α_{EC}$	0.90
Client port number integration discount	$α_{CP}$	0.80
Optical carrier number integration discount	$α_{OC}$	0.80
Client flexibility penalty	$β_{CF}$	0.10
Higher-order modulation format penalty	$β_{HO}$	0.05
Line flexibility penalty	$β_{LF}$	0.05

	Traffic [Tb/s]		10G Share		100G Share		400G Share
Period	IT	EU	IT	EU	IT	EU	IT	EU
Y1	16.4	20.0	60%	50%	40%	50%	0%	0%
Y2	23.2	28.3	50%	40%	50%	60%	0%	0%
Y3	32.8	40.0	40%	30%	50%	55%	10%	15%
Y4	46.4	56.6	26%	20%	50%	55%	24%	25%
Y5	65.6	80.0	17%	13%	50%	50%	33%	37%
Y6	92.8	113.1	11%	9%	44%	43%	45%	48%

Start Period	FixC_FixL			FlexC_FixL and FlexC_FlexL
	Client	Line	Cost	Client Cards		Switch Fabrics		Fixed Transponders		SBVTs
	Client	Line	Cost	Config.	Cost	Capacity^a	Cost	Config.	Cost	Max. Capacity	Max. #Carriers^b	Cost
Y1	$10 \times 10 G$	$1 \times 100 G$	0.97
	$1 \times 100 G$	$1 \times 100 G$	1.00	$10 \times 10 G$	0.13			$1 \times 100 G$	0.85
	$20 \times 10 G$	$2 \times 100 G$	1.61	$20 \times 10 G$	0.19	800G	0.41	$2 \times 100 G$	1.44	400G	2	2.15
	$2 \times 100 G$	$2 \times 100 G$	1.66	$1 \times 100 G$	0.17	1600G	0.66	$1 \times 200 G$	1.21	400G	2	2.15
	$20 \times 10 G$	$1 \times 200 G$	1.38	$2 \times 100 G$	0.24			$2 \times 200 G$	2.08
	$2 \times 100 G$	$1 \times 200 G$	1.42
Y2	$4 \times 100 G$	$4 \times 100 G$	2.70	$4 \times 100 G$	0.27			$4 \times 100 G$	2.45	400G	4	2.58
Y2	$4 \times 100 G$	$2 \times 200 G$	2.33	$4 \times 100 G$	0.27			$4 \times 100 G$	2.45	400G	4	2.58
Y3	$1 \times 400 G$	$4 \times 100 G$	2.93					$4 \times 200 G$	3.60	800G	4	3.72
	$1 \times 400 G$	$2 \times 200 G$	2.57	$8 \times 100 G$	0.39
	$8 \times 100 G$	$4 \times 200 G$	3.96	$1 \times 400 G$	0.53
	$2 \times 400 G$	$4 \times 200 G$	4.30	$2 \times 400 G$	0.77

	FlexC-FlexL		FlexC-FixL		FixC-FixL
Period	IT	EU	IT	EU	IT	EU
Y1	142	138	142	138	142	138
Y2	142	145	142	144	142	145
Y3	142	146	142	146	142	146
Y4	142	150	146	150	146	158
Y5	150	162	151	163	152	164
Y6	154	172	156	172	157	180

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Journal of Optical Communications and Networking