GSOC2026Projects - Revision history

Tomh: fix spelling

2026-04-05T15:52:02Z

fix spelling

← Older revision		Revision as of 15:52, 5 April 2026
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	* Use !2645 to modify all or in part the `Rip` protocol.		* Use !2645 to modify all or in part the `Rip` protocol.

	=== Ping and ~~TraverouteV4~~ enhancements ===		=== Ping and TracerouteV4 enhancements ===

	Mentors: [mailto:tommaso.pecorella@unifi.it Tommaso Pecorella], [TBD].		Mentors: [mailto:tommaso.pecorella@unifi.it Tommaso Pecorella], [TBD].

	The Ping and ~~TraverouteV4~~ ns-3 application have some small limitations.		The Ping and TracerouteV4 ns-3 application have some small limitations.

	In particular 2 of them are annoying.		In particular 2 of them are annoying.

Tomh: /* Internet routing refactoring */ (fix typo)

2026-03-26T15:46:50Z

Internet routing refactoring: (fix typo)

← Older revision		Revision as of 15:46, 26 March 2026
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	** [https://gitlab.com/tomhenderson/ns-3-dev/-/commits/flent?ref_type=heads Prior work on Flent application API in ns-3]		** [https://gitlab.com/tomhenderson/ns-3-dev/-/commits/flent?ref_type=heads Prior work on Flent application API in ns-3]

	=== Internet routing ~~refactory~~ ===		=== Internet routing refactoring ===

	Mentors: [mailto:tommaso.pecorella@unifi.it Tommaso Pecorella], [TBD].		Mentors: [mailto:tommaso.pecorella@unifi.it Tommaso Pecorella], [TBD].

Biljana: /* 5G NR module integration with ns-3-ai */

2026-03-24T23:45:05Z

5G NR module integration with ns-3-ai

← Older revision		Revision as of 23:45, 24 March 2026
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	Mentors: [mailto:kkoutlia@cttc.es Katerina Koutlia], [mailto:gcarvalho@cttc.es Gabriel Ferreira], [mailto:aashtari@cttc.es Amir Ashtari Gargari] and [mailto:bbojovic@cttc.es Biljana Bojovic]		Mentors: [mailto:kkoutlia@cttc.es Katerina Koutlia], [mailto:gcarvalho@cttc.es Gabriel Ferreira], [mailto:aashtari@cttc.es Amir Ashtari Gargari] and [mailto:bbojovic@cttc.es Biljana Bojovic]

	The objective of this project is to integrate the ns-3 5G NR module with [https://apps.nsnam.org/app/ns3-ai/ ns-3-ai]. In GSoC 2024 we had a project in which 5G NR was integrated with [https://www.nsnam.org/wiki/GSOC2024RLUsability5G ns-3 gym]. While ns-3 gym is a popular ns-3 module for AI, it is limited to the application of reinforcement learning techniques in networking research. On the other hand, ns-3-ai module provides a more general solution that enables the data interaction between ns-3 and other Python-based AI frameworks, like [https://www.tensorflow.org/api_docs/cc Tensorflow C++ APIs] and [https://pytorch.org/cppdocs/ PyTorch C++ APIs], which opens the door to use different machine learning-based techniques in 5G NR models. The correct functioning of the integration should be tested, and documented, and a fully working example using ns-3-ai should be provided. The contributor can propose a use-case scenario for matching learning. One option is to use it for MAC scheduling, but it could be used for other 5G related research problems, and the contributor is encouraged to propose the use case of his/her interest.		The objective of this project is to integrate the ns-3 5G NR module with [https://apps.nsnam.org/app/ns3-ai/ ns-3-ai]. Please note that the ns-allinone-3.47 release uses DEFIANCE version which is more currently maintained; can be found [https://github.com/DEFIANCE-project/ns3-ai here]. In GSoC 2024 we had a project in which 5G NR was integrated with [https://www.nsnam.org/wiki/GSOC2024RLUsability5G ns-3 gym]. While ns-3 gym is a popular ns-3 module for AI, it is limited to the application of reinforcement learning techniques in networking research. On the other hand, ns-3-ai module provides a more general solution that enables the data interaction between ns-3 and other Python-based AI frameworks, like [https://www.tensorflow.org/api_docs/cc Tensorflow C++ APIs] and [https://pytorch.org/cppdocs/ PyTorch C++ APIs], which opens the door to use different machine learning-based techniques in 5G NR models. The correct functioning of the integration should be tested, and documented, and a fully working example using ns-3-ai should be provided. The contributor can propose a use-case scenario for matching learning. One option is to use it for MAC scheduling, but it could be used for other 5G related research problems, and the contributor is encouraged to propose the use case of his/her interest.

	For starters, we would suggest adding the CTTC 5G-LENA (nr module) to ns-3, in the typical way (as a module in the contrib/ directory), and building and running the examples. Documentation is available from here: https://5g-lena.cttc.es/. There is an overview tutorial video available here: https://acmse.net/2021/tutorials-offered/#tut-work03. That is the background information.		For starters, we would suggest adding the CTTC 5G-LENA (nr module) to ns-3, in the typical way (as a module in the contrib/ directory), and building and running the examples. Documentation is available from here: https://5g-lena.cttc.es/. There is an overview tutorial video available here: https://acmse.net/2021/tutorials-offered/#tut-work03. That is the background information.

Biljana: /* 5G NR module integration with ns-3-ai */

2026-03-24T14:03:36Z

5G NR module integration with ns-3-ai

← Older revision		Revision as of 14:03, 24 March 2026
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	* Interests: 5G NR simulations		* Interests: 5G NR simulations
	* Difficulty: Medium.		* Difficulty: Medium.
			* Project size: Large
	* Patch requirement: See the [https://www.nsnam.org/wiki/GSOC2024PatchRequirement description]. You can also consider some of the [https://gitlab.com/cttc-lena/nr/-/issues/?label_name%5B%5D=good%20first%20issue nr good to start issues]. Or, you can start writing some APIs for the selected project proposal. Also, if you have some previous MRs to ns-3 or the nr module, you can contact us to check whether it is enough for the patch requirement.		* Patch requirement: See the [https://www.nsnam.org/wiki/GSOC2024PatchRequirement description]. You can also consider some of the [https://gitlab.com/cttc-lena/nr/-/issues/?label_name%5B%5D=good%20first%20issue nr good to start issues]. Or, you can start writing some APIs for the selected project proposal. Also, if you have some previous MRs to ns-3 or the nr module, you can contact us to check whether it is enough for the patch requirement.

Biljana: /* 5G NR models enhancements */

2026-03-16T15:02:30Z

5G NR models enhancements

← Older revision		Revision as of 15:02, 16 March 2026
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	The general idea is to improve the usability of the 5G NR module by adding new examples that help users start building scenario scripts. Also, an interesting improvement could be integration with other modules, like those for AI or visualizations. Here are some project ideas. Depending on the contributor's interest and skills we can adjust these projects' definitions.		The general idea is to improve the usability of the 5G NR module by adding new examples that help users start building scenario scripts. Also, an interesting improvement could be integration with other modules, like those for AI or visualizations. Here are some project ideas. Depending on the contributor's interest and skills we can adjust these projects' definitions.

	* [[#OLLA Link Adaptation and Spec-Compliant TBS Calculation for 5G-LENA]](medium size project, 175h)		* [[#OLLA Link Adaptation and Spec-Compliant TBS Calculation for 5G-LENA]] (medium size project, 175h)
	* [[#Enabling 5G NR examples visualization]] (medium size project, 175h)		* [[#Enabling 5G NR examples visualization]] (medium size project, 175h)
	* [[#Energy Consumption Modeling and Power-Aware Extensions for 5G-LENA]](large size project, 250h)		* [[#Energy Consumption Modeling and Power-Aware Extensions for 5G-LENA]] (large size project, 250h)
	* [[#5G NR module integration with ns-3-ai]] (large size project, 250h)		* [[#5G NR module integration with ns-3-ai]] (large size project, 250h)
	* [[#Integration of 3GPP Release-19 Features into the ns-3 3GPP Model and 5G-LENA]](medium size project, 175h)		* [[#Integration of 3GPP Release-19 Features into the ns-3 3GPP Model and 5G-LENA]] (medium size project, 175h)
	* [[#Multi-Band Support and Carrier Selection in 5G-LENA for FR3 CA]](medium size project, 175h)		* [[#Multi-Band Support and Carrier Selection in 5G-LENA for FR3 CA]] (medium size project, 175h)
			* [[#Spectrum Sharing Support for 5G-LENA and ns-3]] (medium size project, 175h)

	== Small sized projects (90 hours) ==		== Small sized projects (90 hours) ==

Biljana: /* Medium sized projects (175 hours) */

2026-03-16T15:01:08Z

Medium sized projects (175 hours)

@@ Line 332: / Line 332: @@
 **[https://arxiv.org/pdf/2507.19266 Overview of 3GPP Release 19 Study on Channel Modeling Enhancements to TR 38.901 for 6G]
 **[https://arxiv.org/pdf/2310.06425 6G Wireless Communications in 7–24 GHz Band]
 == Large projects (350 hours) ==

Biljana: /* Multi-Band Support and Carrier Selection in 5G-LENA for FR3 CA */

2026-03-16T10:32:03Z

Multi-Band Support and Carrier Selection in 5G-LENA for FR3 CA

← Older revision		Revision as of 10:32, 16 March 2026
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	**[https://arxiv.org/pdf/2502.17914 A. Bazzi et al., Upper Mid-Band Spectrum for 6G]		**[https://arxiv.org/pdf/2502.17914 A. Bazzi et al., Upper Mid-Band Spectrum for 6G]
	**[https://arxiv.org/pdf/2507.19266 Overview of 3GPP Release 19 Study on Channel Modeling Enhancements to TR 38.901 for 6G]		**[https://arxiv.org/pdf/2507.19266 Overview of 3GPP Release 19 Study on Channel Modeling Enhancements to TR 38.901 for 6G]
	**[https://arxiv.org/~~abs~~/2310.06425 6G Wireless Communications in 7–24 GHz Band]		**[https://arxiv.org/pdf/2310.06425 6G Wireless Communications in 7–24 GHz Band]

	== Large projects (350 hours) ==		== Large projects (350 hours) ==

Biljana: /* Initial Multi-Band Support and Carrier Selection in 5G-LENA: An FR3 Carrier Aggregation Use Case */

2026-03-16T10:30:10Z

Initial Multi-Band Support and Carrier Selection in 5G-LENA: An FR3 Carrier Aggregation Use Case

← Older revision		Revision as of 10:30, 16 March 2026
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	* Recommended reading: [https://arxiv.org/pdf/2507.19266 Overview of 3GPP Release 19 Study on Channel Modeling Enhancements to TR 38.901 for 6G]		* Recommended reading: [https://arxiv.org/pdf/2507.19266 Overview of 3GPP Release 19 Study on Channel Modeling Enhancements to TR 38.901 for 6G]

	=== ~~Initial~~ Multi-Band Support and Carrier Selection in 5G-LENA~~: An~~ FR3 ~~Carrier Aggregation Use Case~~ ===		=== Multi-Band Support and Carrier Selection in 5G-LENA for FR3 CA ===

	Mentors: [mailto:bbojovic@cttc.es Biljana Bojovic], [mailto:slagen@cttc.es Sandra Lagen]		Mentors: [mailto:bbojovic@cttc.es Biljana Bojovic], [mailto:slagen@cttc.es Sandra Lagen]

Biljana: /* 5G NR models enhancements */

2026-03-16T10:29:48Z

5G NR models enhancements

← Older revision		Revision as of 10:29, 16 March 2026
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	* [[#5G NR module integration with ns-3-ai]] (large size project, 250h)		* [[#5G NR module integration with ns-3-ai]] (large size project, 250h)
	* [[#Integration of 3GPP Release-19 Features into the ns-3 3GPP Model and 5G-LENA]](medium size project, 175h)		* [[#Integration of 3GPP Release-19 Features into the ns-3 3GPP Model and 5G-LENA]](medium size project, 175h)
			* [[#Multi-Band Support and Carrier Selection in 5G-LENA for FR3 CA]](medium size project, 175h)

	== Small sized projects (90 hours) ==		== Small sized projects (90 hours) ==

Biljana: /* Implementing 3GPP Release 19 Modeling Features in ns-3 3GPP and 5G-LENA */

2026-03-16T10:25:56Z

Implementing 3GPP Release 19 Modeling Features in ns-3 3GPP and 5G-LENA

← Older revision		Revision as of 10:25, 16 March 2026
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	* [https://gitlab.com/nsnam/ns-3-dev/-/issues/368 Issue #368] - aodv: aodv parameters can be set to "impossible" values		* [https://gitlab.com/nsnam/ns-3-dev/-/issues/368 Issue #368] - aodv: aodv parameters can be set to "impossible" values

	=== ~~Implementing~~ 3GPP Release 19 ~~Modeling~~ Features in ns-3 3GPP and 5G-LENA ===		=== Integration of 3GPP Release-19 Features into the ns-3 3GPP Model and 5G-LENA ===

	Mentors: [mailto:bbojovic@cttc.es Biljana Bojovic], [mailto:slagen@cttc.es Sandra Lagen]		Mentors: [mailto:bbojovic@cttc.es Biljana Bojovic], [mailto:slagen@cttc.es Sandra Lagen]