Título: | RESOURCE ALLOCATION TECHNIQUES FOR CELL-FREE MASSIVE MIMO NETWORKS | ||||||||||||
Autor: |
SAEED MASHDOUR |
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Colaborador(es): |
RODRIGO CAIADO DE LAMARE - Orientador |
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Catalogação: | 20/FEV/2025 | Língua(s): | ENGLISH - UNITED STATES |
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Tipo: | TEXT | Subtipo: | THESIS | ||||||||||
Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=69453&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=69453&idi=2 |
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DOI: | https://doi.org/10.17771/PUCRio.acad.69453 | ||||||||||||
Resumo: | |||||||||||||
Cell-Free Massive Multiple-Input Multiple-Output (CF-mMIMO)
networks are a promising evolution in wireless communications, offering
notable improvements in user experience and network performance by eliminating traditional cell boundaries. These networks employ a large number of
distributed access points (APs) to serve a smaller number of user equipments
(UEs), forming a unique wireless network architecture that ensures solid coverage and service delivery. A primary concern in the context of CF-mMIMO
networks is the efficient allocation of resources, particularly user scheduling
and power allocation. The aim of this thesis is to investigate these tasks in the
downlink of a CF-mMIMO network, considering both perfect and imperfect
channel state information (CSI).
In user scheduling, the objective is to select a subset of UEs to be
served at any given time. This process is inherently complex as it must
cater for numerous factors such as the priority of UEs, varying channel
conditions, and physical UE locations. Effective user scheduling is instrumental
in optimizing the utilization of network resources, enhancing UE satisfaction,
and managing network traffic efficiently. Power allocation also plays a key role
in the distribution of transmission power among APs and the selected UEs. In
CF-mMIMO systems, an effective power allocation strategy can help mitigate
inter-user interference and optimize energy efficiency, while enforcing the total
available power and hardware constraints.
This thesis further considers the context of clustered cell-free (CLCF)
networks, as non-overlapping network clustering and also usec-centric cell-free
(UCCF). These networks present their own unique challenges and opportunities in terms of user scheduling and power allocation. An in-depth exploration
and comparison of different techniques within this settings could offer valuable
insights into the development of more efficient resource allocation strategies.
The thesis aims to provide a comprehensive study of resource allocation, focusing on user scheduling and power allocation in the downlink of CF-mMIMO
networks, taking into account both perfect and imperfect CSI and exploring
the implications of these techniques in CLCF and UCCF network contexts,
and indicate some topics for further investigation in the future works.
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