GALE-SHAPLEY BASED CLUSTERING AND PILOT ASSIGNMENT FOR CELL-FREE MASSIVE MIMO SYSTEM
Cell-Free Massive MIMO is a promising technology which many access points cooperate to jointly serve UEs within the same time-frequency resource. However, the original form of Cell-Free Massive MIMO is not scalable when the number of UEs goes to infinity. Clustering is one of the solutions to...
Saved in:
| Main Author: | |
|---|---|
| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/54281 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| id |
id-itb.:54281 |
|---|---|
| spelling |
id-itb.:542812021-03-15T18:56:40ZGALE-SHAPLEY BASED CLUSTERING AND PILOT ASSIGNMENT FOR CELL-FREE MASSIVE MIMO SYSTEM Sufi Firmansyah, Bariq Indonesia Final Project Cell-Free Massive MIMO, Clustering, Gale-Shapley, Graph coloring, Beyond 5G INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/54281 Cell-Free Massive MIMO is a promising technology which many access points cooperate to jointly serve UEs within the same time-frequency resource. However, the original form of Cell-Free Massive MIMO is not scalable when the number of UEs goes to infinity. Clustering is one of the solutions to make Cell-Free Massive MIMO systems becomes scalable where each AP only serves a subset of UEs with the best channel. In this paper, we propose a framework to form clusters between UE and APs and pilot assignment that takes the maximum number of UEs that can be served by each AP into consideration. The proposed algorithm outperforms benchmark algorithm in terms of 95%-likely per-user SE when the number of UEs is massive. text |
| institution |
Institut Teknologi Bandung |
| building |
Institut Teknologi Bandung Library |
| continent |
Asia |
| country |
Indonesia Indonesia |
| content_provider |
Institut Teknologi Bandung |
| collection |
Digital ITB |
| language |
Indonesia |
| description |
Cell-Free Massive MIMO is a promising technology which many access points
cooperate to jointly serve UEs within the same time-frequency resource. However,
the original form of Cell-Free Massive MIMO is not scalable when the number of
UEs goes to infinity. Clustering is one of the solutions to make Cell-Free Massive
MIMO systems becomes scalable where each AP only serves a subset of UEs with
the best channel. In this paper, we propose a framework to form clusters between
UE and APs and pilot assignment that takes the maximum number of UEs that can
be served by each AP into consideration. The proposed algorithm outperforms
benchmark algorithm in terms of 95%-likely per-user SE when the number of UEs
is massive.
|
| format |
Final Project |
| author |
Sufi Firmansyah, Bariq |
| spellingShingle |
Sufi Firmansyah, Bariq GALE-SHAPLEY BASED CLUSTERING AND PILOT ASSIGNMENT FOR CELL-FREE MASSIVE MIMO SYSTEM |
| author_facet |
Sufi Firmansyah, Bariq |
| author_sort |
Sufi Firmansyah, Bariq |
| title |
GALE-SHAPLEY BASED CLUSTERING AND PILOT ASSIGNMENT FOR CELL-FREE MASSIVE MIMO SYSTEM |
| title_short |
GALE-SHAPLEY BASED CLUSTERING AND PILOT ASSIGNMENT FOR CELL-FREE MASSIVE MIMO SYSTEM |
| title_full |
GALE-SHAPLEY BASED CLUSTERING AND PILOT ASSIGNMENT FOR CELL-FREE MASSIVE MIMO SYSTEM |
| title_fullStr |
GALE-SHAPLEY BASED CLUSTERING AND PILOT ASSIGNMENT FOR CELL-FREE MASSIVE MIMO SYSTEM |
| title_full_unstemmed |
GALE-SHAPLEY BASED CLUSTERING AND PILOT ASSIGNMENT FOR CELL-FREE MASSIVE MIMO SYSTEM |
| title_sort |
gale-shapley based clustering and pilot assignment for cell-free massive mimo system |
| url |
https://digilib.itb.ac.id/gdl/view/54281 |
| _version_ |
1822929566056841216 |