Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Shida Zhong"'
Publikováno v:
Dianxin kexue, Vol 37, Pp 67-76 (2021)
Aiming at the high complexity of the end-to-end massive MIMO systems in flat correlated Rayleigh fading channel environments, a low-complexity two-tier group antenna selection algorithm based on discrete cuckoo search was proposed.The algorithm first
Externí odkaz:
https://doaj.org/article/1f5e0293766c4961987fd78a0c871706
Publikováno v:
IEEE Access, Vol 8, Pp 71775-71781 (2020)
In order to deploy minimum number of unmanned aerial vehicle (UAV)-mounted mobile base stations (MBSs) to service all given ground terminals, this paper proposes an MBS placement based on sparse recovery (MBS-PBSR) algorithm. By exploiting the sparsi
Externí odkaz:
https://doaj.org/article/ec502beed0484b4c880de80475a1016f
Publikováno v:
IEEE Access, Vol 7, Pp 88312-88326 (2019)
The digital subscriber line (DSL) remains an important component of heterogeneous networking, especially in historic city-centers, where using optical fiber is less realistic. Recently, power consumption has become an important performance metric in
Externí odkaz:
https://doaj.org/article/0d956092053f47ea8b737639497223d5
Publikováno v:
IEEE Access, Vol 7, Pp 169267-169280 (2019)
In recent years, antenna selection (AS) has become one of the most popular research topics for massive multiple-input multiple-output (MIMO) system due to its capability of reducing the number of radio frequency chains utilized for MIMO communication
Externí odkaz:
https://doaj.org/article/86281a3186cf4e9ab28aaf07f560071a
Publikováno v:
Cryptography, Vol 6, Iss 2, p 16 (2022)
In the 5G intelligent edge scenario, more and more accelerator-based single-board computers (SBCs) with low power consumption and high performance are being used as edge devices to run the inferencing part of the artificial intelligence (AI) model to
Externí odkaz:
https://doaj.org/article/c64cd05ec2c944d296969f283f4424d5
Autor:
Shida Zhong, Haogang Feng, Peichang Zhang, Jiajun Xu, Huancong Luo, Jihong Zhang, Tao Yuan, Lei Huang
Publikováno v:
Sensors, Vol 20, Iss 23, p 6987 (2020)
In this paper, we propose and implement a novel framework of deep learning based antenna selection (DLBAS)-aided multiple-input–multiple-output (MIMO) software defined radio (SDR) system. The system is constructed with the following three steps: (1
Externí odkaz:
https://doaj.org/article/d57b41ade6774c589f17f37bfc52a853
Publikováno v:
IEEE Access, Vol 4, Pp 1008-1038 (2016)
Stochastic computing has been recently proposed for the hardware implementation of both low-density parity-check (LDPC) decoders and turbo decoders, which facilitate near-optimal error correction capabilities in wireless communication applications. P
Externí odkaz:
https://doaj.org/article/9d7460d101524bf19e047a4a522d3260
Publikováno v:
Sensors, Vol 20, Iss 17, p 4867 (2020)
A transmit antenna selection (TxAS) aided multi-user multiple-input multiple-output (MU-MIMO) system is proposed for operating in the MIMO downlink channel environments, which shows significant improvement in terms of higher data rate when compared t
Externí odkaz:
https://doaj.org/article/1a1ebf4dd80d4bcd9cf46486f7b94774
Publikováno v:
Sensors, Vol 20, Iss 8, p 2250 (2020)
In this article, we propose a multi-label convolution neural network (MLCNN)-aided transmit antenna selection (AS) scheme for end-to-end multiple-input multiple-output (MIMO) Internet of Things (IoT) communication systems in correlated channel condit
Externí odkaz:
https://doaj.org/article/69cd4f53853942ba84ac4d4a4f72003a
Publikováno v:
2022 5th International Conference on Information Communication and Signal Processing (ICICSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a405e1f7a2d87eb7e6e30c49c3952d86
https://doi.org/10.1109/icicsp55539.2022.10050590
https://doi.org/10.1109/icicsp55539.2022.10050590