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

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Tác giả chính: Diego, Lloria, Pablo M., Aviles, Jose A., Belloch
Định dạng: Sách
Ngôn ngữ:English
Nhà xuất bản: Springer 2023
Chủ đề:
GPU
Truy cập trực tuyến:https://link.springer.com/article/10.1007/s11227-022-05018-w
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8263
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spelling oai:localhost:PNK-82632023-04-25T02:29:00Z Hybrid CPU–GPU implementation of the transformed spatial domain channel estimation algorithm for mmWave MIMO systems Diego, Lloria Pablo M., Aviles Jose A., Belloch GPU MIMO CC BY Hybrid platforms combining multicore central processing units (CPU) with many-core hardware accelerators such as graphic processing units (GPU) can be smartly exploited to provide efficient 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 efficiently implemented in the GPU, indicating that a hybrid CPU–GPU implementation would achieve the best performance in practical applications based on the tested platform. 2023-04-25T02:29:00Z 2023-04-25T02:29:00Z 2023 Book https://link.springer.com/article/10.1007/s11227-022-05018-w https://dlib.phenikaa-uni.edu.vn/handle/PNK/8263 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic GPU
MIMO
spellingShingle GPU
MIMO
Diego, Lloria
Pablo M., Aviles
Jose A., Belloch
Hybrid CPU–GPU implementation of the transformed spatial domain channel estimation algorithm for mmWave MIMO systems
description CC BY
format Book
author Diego, Lloria
Pablo M., Aviles
Jose A., Belloch
author_facet Diego, Lloria
Pablo M., Aviles
Jose A., Belloch
author_sort Diego, Lloria
title Hybrid CPU–GPU implementation of the transformed spatial domain channel estimation algorithm for mmWave MIMO systems
title_short Hybrid CPU–GPU implementation of the transformed spatial domain channel estimation algorithm for mmWave MIMO systems
title_full Hybrid CPU–GPU implementation of the transformed spatial domain channel estimation algorithm for mmWave MIMO systems
title_fullStr Hybrid CPU–GPU implementation of the transformed spatial domain channel estimation algorithm for mmWave MIMO systems
title_full_unstemmed Hybrid CPU–GPU implementation of the transformed spatial domain channel estimation algorithm for mmWave MIMO systems
title_sort hybrid cpu–gpu implementation of the transformed spatial domain channel estimation algorithm for mmwave mimo systems
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s11227-022-05018-w
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8263
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