[Docs] Added DeepNetSlice to community projects (#1639)

* Added DeepNetSlice to community projects * Added description of network slice placement --------- Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
DLR-RM · Aug 5, 2023 · ff2115d · ff2115d
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diff --git a/docs/misc/changelog.rst b/docs/misc/changelog.rst
@@ -43,6 +43,7 @@ Documentation:
 - Fixed callback example (@BertrandDecoster)
 - Fixed policy network example (@kyle-he)
 - Added mobile-env as new community project (@stefanbschneider)
+- Added [DeepNetSlice](https://github.com/AlexPasqua/DeepNetSlice) to community projects (@AlexPasqua)
 
 
 Release 2.0.0 (2023-06-22)

diff --git a/docs/misc/projects.rst b/docs/misc/projects.rst
@@ -212,3 +212,20 @@ It allows simulating various scenarios with moving users in a cellular network w
 | Authors: Stefan Schneider, Stefan Werner
 | Github: https://github.com/stefanbschneider/mobile-env
 | Paper: https://ris.uni-paderborn.de/download/30236/30237 (2022 IEEE/IFIP Network Operations and Management Symposium (NOMS))
+
+
+DeepNetSlice
+------------
+
+A Deep Reinforcement Learning Open-Source Toolkit for Network Slice Placement (NSP).
+
+NSP is the problem of deciding which physical servers in a network should host the virtual network functions (VNFs) that make up a network slice, as well as managing the mapping of the virtual links between the VNFs onto the physical infrastructure.
+It is a complex optimization problem, as it involves considering the requirements of the network slice and the available resources on the physical network.
+The goal is generally to maximize the utilization of the physical resources while ensuring that the network slices meet their performance requirements.
+
+The toolkit includes a customizable simulation environments, as well as some ready-to-use demos for training
+intelligent agents to perform network slice placement.
+
+| Author: Alex Pasquali
+| Github: https://github.com/AlexPasqua/DeepNetSlice
+| Paper: **under review** (citation instructions on the project's README.md) -> see this Master's Thesis for the moment: https://etd.adm.unipi.it/theses/available/etd-01182023-110038/unrestricted/Tesi_magistrale_Pasquali_Alex.pdf