Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Unnikrishnan Kunnath Ganesan"'
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 1639-1655 (2024)
CELL-FREE massive multiple-input multiple-output (MIMO) is a promising technology for next-generation communication systems. This work proposes a novel partially coherent (PC) transmission framework to cope with the challenge of phase misalignment am
Externí odkaz:
https://doaj.org/article/0512386aa9064aa589b061dd847cae89
Publikováno v:
IEEE Transactions on Communications. 69:7520-7530
Future wireless networks need to support massive machine type communication (mMTC) where a massive number of devices accesses the network and massive MIMO is a promising enabling technology. Massive access schemes have been studied for co-located mas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fca77525d66abaa000c4d65e2862ba1d
https://doi.org/10.1109/tcomm.2021.3102635
https://doi.org/10.1109/tcomm.2021.3102635
Publikováno v:
2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bee319151fc02bb249b02cea67d355f2
https://doi.org/10.1109/vtc2022-fall57202.2022.10012724
https://doi.org/10.1109/vtc2022-fall57202.2022.10012724
RadioWeaves, in which distributed antennas with integrated radio and compute resources serve a large number of users, is envisioned to provide high data rates in next generation wireless systems. In this paper, we develop a physical layer abstraction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0bce9a55ccd49c5fb83018664967238
http://arxiv.org/abs/2206.13924
http://arxiv.org/abs/2206.13924
Autor:
Unnikrishnan Kunnath Ganesan
Publikováno v:
Linköping Studies in Science and Technology. Licentiate Thesis ISBN: 9789179292201
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d08fe512dc96bdc21f8163568fd3ff19
https://doi.org/10.3384/9789179292218
https://doi.org/10.3384/9789179292218
Autor:
Baktash Behmanesh, Deutschmann, Benjamin, Edfors, Ove, Frenger, Pal, Unnikrishnan Kunnath Ganesan, Helmersson, Ke Wang, Larsson, Erik G., Liu, Liang, Pollin, Sofie, Ranjbar, Vida, Sarvendranath Rimalapudi, Rivas, Juan Francisco Esteban, Shaik, Zakir Hussain, Joao Viera, Wilding, Thomas, Witrisal, Klaus
This deliverable develops a framework for physical-layerperformance evaluation of RadioWeaves. Specifically, aneffective-SINR abstraction model is developed and shown tobe accurate and highly efficient in terms of computationalcomplexity. Furthermore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::673b9e37a61ec98ba90df4a672bcab7c
With the advances in virtual and augmented reality, gaming applications, and entertainment, certain indoor scenarios will require vastly higher capacity than what can be delivered by 5G. In this paper, we focus on massive MIMO for indoor environments
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7c5c8c0da594446ab2ec4e081b3e8e7
Publikováno v:
SPAWC
Massive access is one of the main use cases of beyond 5G (B5G) wireless networks and massive MIMO is a key technology for supporting it. Prior works studied massive access in the co-located massive MIMO framework. In this paper, we investigate the ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c1fcd3ccb033978d169c70f015113c6
https://doi.org/10.1109/spawc48557.2020.9154288
https://doi.org/10.1109/spawc48557.2020.9154288
Publikováno v:
ACSSC
An implementation of activity detection for grant-free massive machine type communication is presented. The implemented algorithm is based on coordinate descent which shows a rapid convergence time. A number of modifications to the original algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40b7e746ffff3bb11ffbf9e56f1bc6f3
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176281
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176281