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Hybrid CPU-GPU implementation of the transformed spatial domain channel estimation algorithm for mmWave MIMO systems

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Hybrid CPU-GPU implementation of the transformed spatial domain channel estimation algorithm for mmWave MIMO systems

dc.contributor.author	Lloria, Diego
dc.contributor.author	Aviles Marin, Pablo Manuel
dc.contributor.author	Belloch, Jose A.
dc.contributor.author	Roger Varea, Sandra
dc.contributor.author	Botella Mascarell, Carmen
dc.contributor.author	Lindoso Muñoz, Almudena
dc.date.accessioned	2023-05-11T16:28:33Z
dc.date.available	2023-05-11T16:28:33Z
dc.date.issued	2023
dc.identifier.citation	Lloria, Diego Aviles Marin, Pablo Manuel Belloch, Jose A. Roger Varea, Sandra Botella Mascarell, Carmen Lindoso Muñoz, Almudena 2023 Hybrid CPU-GPU implementation of the transformed spatial domain channel estimation algorithm for mmWave MIMO systems Journal of Supercomputing 79 9 9371 9382
dc.identifier.uri	https://hdl.handle.net/10550/86563
dc.description.abstract	Hybrid platforms combining multicore central processing units (CPU) with manycore hardware accelerators such as graphic processing units (GPU) can be smartly exploited to provide efcient parallel implementations of wireless communication algorithms for Fifth Generation (5G) and beyond systems. Massive multiple-input multiple-output (MIMO) systems are a key element of the 5G standard, involving several tens or hundreds of antenna elements for communication. Such a high number of antennas has a direct impact on the computational complexity of some MIMO signal processing algorithms. In this work, we focus on the channel estimation stage. In particular, we develop a parallel implementation of a recently proposed MIMO channel estimation algorithm. Its performance in terms of execution time is evaluated both in a multicore CPU and in a GPU. The results show that some computation blocks of the algorithm are more suitable for multicore implementation, whereas other parts are more efciently implemented in the GPU, indicating that a hybrid CPU-GPU implementation would achieve the best performance in practical applications based on the tested platform.
dc.language.iso	eng
dc.relation.ispartof	Journal of Supercomputing, 2023, vol. 79, num. 9, p. 9371-9382
dc.subject	Informàtica
dc.title	Hybrid CPU-GPU implementation of the transformed spatial domain channel estimation algorithm for mmWave MIMO systems
dc.type	journal article
dc.date.updated	2023-05-11T16:28:34Z
dc.identifier.doi	10.1007/s11227-022-05018-w
dc.identifier.idgrec	158018
dc.rights.accessRights	open access