The present invention relates generally to routing and spectrum assignment (RSA) in an optical wavelength division multiplexing (WDM) network and, more specifically, to spectrum allocation and route selection algorithms that achieve high spectral and computational efficiency.
Optical fiber offers higher bandwidth and faster data rates compared to copper cables. Optical fiber has traditionally been used in long-haul backbones of the Internet. Metro optical networks are also widely deployed for metropolitan-area networks. Recently, optical fiber networks are now reaching residential access networks that connect individual homes to a network carrier's central offices.
Different multiplexing techniques, for example, TDM or WDM, are used in optical networks to increase the capacity of the underlying optical fibers. A WDM optical network employs multiple wavelengths or a band of wavelengths for simultaneous data transmissions. A WDM optical network generally comprises a plurality of wavelength crossconnects (WXCs), also referred to as nodes. Each node is connected to one or more other nodes via optical links. Each node performs key functions such as wavelength multiplexing/demultiplexing, and switching. Each node may optionally perform wavelength conversion or optical/electrical/optical (OEO) conversion. If no wavelength conversion or optical/electrical/optical conversion is performed by a node connecting two adjacent optical links, the so-called wavelength continuity constraint applies to a spectrum resource allocated to carry data through these two adjacent optical links. The spectrum resource is required to be of the same wavelength and is available on both links.
In a WDM optical network without wavelength or OEO conversions, to transmit data from a source node to a destination node interconnected by multiple optical links, the network needs to configure a route between the two nodes and to assign a spectrum resource to accommodate the spectrum demand of the data transmission. The route would include various links that have the resource to support the spectrum demand. The algorithm used by the network to select a route and assign a spectrum is generally referred to as routing and spectrum assignment (RSA) algorithm.
In optical networks, one goal of RSA is to determine an optimal path between a source node and a destination node. An optimal path may be a path that is shortest in length, smallest in transmission delay, or lowest in cost, etc. Another goal of RSA is efficient use of spectrum resources. An ideal RSA scheme prevents spectrum fragmentation in which used and unused spectrum segments are interspersed. Spectrum fragmentation leads to wasted spectrum resources that are blocked and cannot be assigned. An ideal RSA scheme can achieve zero or low blocking ratio (the percentage of blocked spectrum in the band of frequencies).
However, a RSA algorithm that provides efficient use of spectrum resources is often computationally expensive. Also, as spectrum resources on optical fibers become scarce, it is critical to maximize their utilization by efficient provisioning strategies or allocation algorithms. There is a need for an advanced RSA algorithm that can achieve high spectrum efficiency with low computational complexities.
The present invention provides methods and apparatus for assigning spectrum and selecting a route for a connection between a source node and a destination node within an optical network. The optical network is allocated an optical band of wavelengths or frequencies. The connection is used for transmitting a data signal between the two nodes. In the present application, wavelengths and frequencies are used interchangeably and refer to spectrum resources used for data transmission in an optical network.
The RSA methods disclosed in the present application avoid continuous frequency scanning and require consideration of only a limited number of spectrum assignment possibilities. Because there are only a few possibilities to consider, the RSA methods disclosed herein guarantee a complete search for optimum spectrum assignment and therefore improve computational efficiency. Also, a spectrum assignment made according to the RSA methods always adjoins a previous spectrum assignment, thus, substantially preventing spectrum fragmentation.
In some embodiments, the spectrum assignment and route selection method comprises determining a spectrum demand for a connection between a source node and a destination node. The source node and the destination node are connected by a plurality of optical links. The method further comprises identifying one or more potential spectrum allocations that satisfy the spectrum demand for the connection. The one or more potential spectrum allocations start at either the starting frequency of the optical band allocated to the network or an end of a previously allocated spectrum. The starting frequency can be the lowest or the highest frequency in the optical band. After the spectrum allocations have been identified, routes corresponding to each of the spectrum allocations can be determined. Among the multiple routes determined, an optimal route can be selected.
In some embodiments, the spectrum assignment and route selection method can be carried out by a path computation element. A path computation element may comprise an optical module for interfacing with the optical network and one or more processing circuits that are configured to perform spectrum assignment and route selection in accordance with the present disclosure.
Of course, the present disclosure is not limited to the features, advantages, and contexts summarized above, and those familiar with pre-distortion circuits and techniques will recognize additional features and advantages upon reading the following detailed description and upon viewing the accompanying drawings.
Referring now to the drawings,
In
Using a spectrum grid in a RSA method improves computational efficiency as there are only a finite number of possibilities to examine and to select from. As shown in
Instead of examining discrete units of spectrum resources, the gridless RSA method scans continuously through the band of frequencies to identify available spectrum resources for a connection. The connection requires a certain bandwidth of frequencies shown in
Currently, ITU-T G.694.1 standards define a dense wavelength division multiplexing (DWDM) grid with a granularity of either 50 GHz or 100 GHz. For more efficient spectrum assignment, the granularity can be further reduced to 25 GHz, 12.5 GHz, or even 6.25 GHz. A finer granularity results in more possibilities of spectrum allocation with increased computational complexities.
The spectrum graph 300 corresponds to a network 400 as shown in
The RSA method according to the present disclosure is used to allocate spectrum resources for a connection through the network 400. The basic idea is to replace the continuous scanning approach used in the gridless RSA method with a new search method that identifies a finite number of discrete frequencies at which the most efficient assignment can be made. Once the spectrum demand of the connection is determined, the RSA algorithm proceeds by identifying the right end of each allocated spectrum for each link, which are marked by downward black arrows in the spectrum graph 300.
Then for each end point (marked by a black arrow), it is determined whether the available spectrum range contiguous with the allocated spectrum is large enough to satisfy the spectrum demand. If yes, the spectrum resource starting at the end of the previously allocated spectrum and having a width of the spectrum demand 330 is noted as a potential spectrum allocation. The link on which the end point lies is also marked as having sufficient capacity to support the potential spectrum allocation. For example, the end point 336 marks the end of the allocated spectrum 380 on Link 4 (308). The open range after the end point 336 is wide enough to accommodate the spectrum demand 330. Therefore, the spectrum range 384 is a potential spectrum allocation and Link 4 is also marked as having the sufficient capacity to support the potential spectrum allocation.
When a potential spectrum allocation is identified, all links that also have the capacity to support the potential spectrum allocation are identified. For example, for the potential spectrum allocation 384, Link 2 also has the requisite capacity. Once the links that can support the potential spectrum allocation are identified, a residual graph is created. For example, for the potential spectrum allocation 384, a residual graph, RG 2, can be formed.
The residual graph RG1 corresponds to the potential spectrum allocation 382 and includes four links, Link 2, Link 3, Link 5 and Link 6. The residual graph RG3 corresponds to the potential spectrum allocation 386 and includes Link 1 and Link 5. The residual graph RG 4 corresponds to the potential spectrum allocation 388 and includes three links, Link 4, Link 5, and Link 6.
After the residual graphs are defined, the next step is to identify the residual graphs that correspond to a feasible route, and to select one of the feasible routes.
In
Only routes that are connected between the two dummy nodes are feasible. For example, layer 520 does not contain a feasible route. Among the four layers shown in
Suppose the criterion is the shortest route. In this case, the selected route represented by the residual graph RG4 is selected, since it comprises only three nodes, while the route represented by the residual graph RG1 comprises four nodes.
In cases in which there are multiple shortest paths, a second-order criterion can be used to select one among the multiple shortest paths. An example of a second-order criterion may be selecting a path with the lowest starting frequency. Selecting a path with the lowest starting frequency can prevent some links from being overloaded. For example, if one link has been selected as part of a shortest path several times in the past, the available spectrum resource on that link will be located at a relatively higher frequency, as compared to other links that have not been selected at all or as often. A second order criterion requiring a selection of a path with the lowest starting frequency will avoid this link that has been selected more often than other links.
In
The flowchart in
In step 704, one or more feasible routes connecting the source node (112) and the destination node (118) are identified, e.g., based on the auxiliary graph. From the one or more feasible routes, the shortest route is selected based on a predetermined selection criterion (step 706). For example, a predetermined selection criterion may be the route of the shortest distance, the fewest number of hops, or the least cost, etc. When two or more shortest routes are found in step 706, a second criterion, such as the lowest starting frequency, may be used to select one among the multiple shortest routes (step 708). Step 708 is an optional step as indicated by the box with dotted lines.
The foregoing description and the accompanying drawings represent non-limiting examples of the methods and apparatus taught herein. As such, the present invention is not limited by the foregoing description and accompanying drawings. Instead, the present invention is limited only by the following claims and their legal equivalents.
The present application claims priority to U.S. Provisional Application No. 61/621,879 filed on Apr. 9, 2012.
Number | Name | Date | Kind |
---|---|---|---|
4809362 | Claus et al. | Feb 1989 | A |
5301053 | Shikada | Apr 1994 | A |
6067288 | Miller et al. | May 2000 | A |
6493117 | Milton et al. | Dec 2002 | B1 |
6567429 | DeMartino | May 2003 | B1 |
6633695 | Bailey et al. | Oct 2003 | B2 |
6687463 | Hutchison et al. | Feb 2004 | B1 |
6754403 | Schmid | Jun 2004 | B1 |
6970617 | Mao et al. | Nov 2005 | B2 |
7024116 | Orbach et al. | Apr 2006 | B2 |
7181095 | Meli et al. | Feb 2007 | B1 |
7184666 | Li et al. | Feb 2007 | B1 |
7200331 | Roorda et al. | Apr 2007 | B2 |
7450847 | Frigo et al. | Nov 2008 | B1 |
7483636 | Aoki et al. | Jan 2009 | B2 |
7546043 | Kai et al. | Jun 2009 | B2 |
7599620 | Graves et al. | Oct 2009 | B2 |
7657181 | Terai et al. | Feb 2010 | B2 |
7860396 | Claringburn et al. | Dec 2010 | B2 |
8521024 | Wellbrock et al. | Aug 2013 | B2 |
8693880 | Sakauchi et al. | Apr 2014 | B2 |
20010046350 | Tedesco | Nov 2001 | A1 |
20010051019 | Bailey et al. | Dec 2001 | A1 |
20020191250 | Graves et al. | Dec 2002 | A1 |
20040052530 | Tian et al. | Mar 2004 | A1 |
20040141746 | Oberg | Jul 2004 | A1 |
20040153492 | Cao et al. | Aug 2004 | A1 |
20040165891 | Kopelovitz et al. | Aug 2004 | A1 |
20040184809 | Miyata et al. | Sep 2004 | A1 |
20040197099 | Kai et al. | Oct 2004 | A1 |
20040212897 | Tedesco | Oct 2004 | A1 |
20050025489 | Aldridge et al. | Feb 2005 | A1 |
20050084262 | Oberg et al. | Apr 2005 | A1 |
20050259571 | Battou | Nov 2005 | A1 |
20050275921 | Haus et al. | Dec 2005 | A1 |
20060110162 | Tian et al. | May 2006 | A1 |
20060275034 | Way et al. | Dec 2006 | A9 |
20070212068 | Miyazaki et al. | Sep 2007 | A1 |
20080013950 | Boudreault et al. | Jan 2008 | A1 |
20080044184 | Popovic | Feb 2008 | A1 |
20080317466 | Chung et al. | Dec 2008 | A1 |
20090047019 | Palacharla et al. | Feb 2009 | A1 |
20090052896 | Kazawa et al. | Feb 2009 | A1 |
20090110402 | Bernstein et al. | Apr 2009 | A1 |
20090220228 | Popovic | Sep 2009 | A1 |
20100014859 | D'Alessandro et al. | Jan 2010 | A1 |
20100209038 | Popovic et al. | Aug 2010 | A1 |
20110135305 | Barnard | Jun 2011 | A1 |
20110236021 | Presi et al. | Sep 2011 | A1 |
20110274425 | Grobe | Nov 2011 | A1 |
20120183294 | Boertjes et al. | Jul 2012 | A1 |
20120201541 | Patel et al. | Aug 2012 | A1 |
20120251117 | Patel et al. | Oct 2012 | A1 |
20130156422 | Maeda et al. | Jun 2013 | A1 |
20130243416 | Dahlfort et al. | Sep 2013 | A1 |
20130336653 | Öhlén | Dec 2013 | A1 |
20140023372 | Sambo et al. | Jan 2014 | A1 |
Number | Date | Country |
---|---|---|
1703762 | Sep 2006 | EP |
WO 0076105 | Dec 2000 | WO |
WO 2007048650 | May 2007 | WO |
WO 2010025767 | Mar 2010 | WO |
WO 2012025148 | Mar 2012 | WO |
Entry |
---|
Patel: “Routing, Wavelength Assignment, and Spectrum Allocation in Wavelength-Convertible Flexible Optical WDM (WC-FWDM) Networks”, OFC/NFOEC 2012, Mar. 4, 2012, pp. 1-3. |
Shen et al: “From Coarse Grid to Mini-Grid to Gridless: How Much can Gridless Help Contentionless”, OFC 2011, Mar. 6-10, 2011, paper OTul3, pp. 1-3. |
Acharya S. et al. “PESO: Low Overhead Protection for Ethernet over SONET Transport”, INFOCOM 2004, the whole document. |
Dahlfort S. et al. “Split Spectrum Approach to Elastic Optical Networking”, ECOC 2012, the whole document. |
ITU-T G.7042/Y.1305 (Mar. 2006), “Link capacity adjustment scheme (LCAS) for virtual concatenated signals”, Mar. 2006, the whole document. |
ITU-T G.707/Y.1322 (Jan. 2007), “Network node interface for the synchronous digital hierarchy (SDH)”, Jan. 2007, the whole document. |
Li Y. et al., “Flexible Grid Label Format in Wavelength Switched Optical Network draft-li-ccamp-flexible-grid-label-00”, Network Working Group, Internet Draft, Jul. 4, 2011, the whole document. |
Strasser T.A. et al. “Wavelength-Selective Switches for ROADM Applications”, IEEE Journal of Selected Topics in Quantum Electronics, V. 16, N. 5, Sep./Oct. 2010, the whole document. |
Jinno M., et al., “Spectrum-Efficient and Scalable Elastic Optical Path Network: Architecture, Benefits, and Enabling Technologies”, IEEE Comm. Mag.,47(11), Nov. 2009, the whole document. |
Gringeri St. et al., “Technical Considerations for Supporting Data Rates Beyond 100 Gb/s”, IEEE Comm. Mag., Feb. 2012, the whole document. |
Thiagarajan S. et al. “Spectrum efficient super-channels in dynamic flexible grid networks—a blocking analysis”, OSA/OFC/NFOEC,2011, the whole document. |
Patel A.N. et al., “Routing, Wavelength Assignment, and Spectrum Allocation in Wavelength-Convertible Flexible Optical WDM (WC-FWDM) Networks”, Optical Fiber Communication Conference and Exposition (OFC/NFOEC), 2012, And The National Fiber Optic Engineers Conference, IEEE, Mar. 4, 2012, the whole document. |
Patel A.N. et al., “Routing, Wavelength Assignment, and Spectrum Allocation Algorithms in Transparent Flexible Optical WDM Networks”, Optical Switching and Networking, Elsevier, NL, Feb. 7, 2012, the whole document. |
Number | Date | Country | |
---|---|---|---|
20130266316 A1 | Oct 2013 | US |
Number | Date | Country | |
---|---|---|---|
61621879 | Apr 2012 | US |