A Novel Joint Transmitting and Receiving Antenna Selection for Spatial Multiplexing Systems
How to reduce the hardware cost and high power consumption of RF link of communication device is the key problem to be solved for multi-transmitting antenna and multi-receiving antenna system (MIMO). Always choose the best antennas connection a limited number of RF circuits, which is called antenna...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2020-09-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2020.2.00031 |
| _version_ | 1818745155336798208 |
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| author | Zhuang Mingjie Li Haitao Lin Yisong |
| author_facet | Zhuang Mingjie Li Haitao Lin Yisong |
| author_sort | Zhuang Mingjie |
| collection | DOAJ |
| description | How to reduce the hardware cost and high power consumption of RF link of communication device is the key problem to be solved for multi-transmitting antenna and multi-receiving antenna system (MIMO). Always choose the best antennas connection a limited number of RF circuits, which is called antenna selection technology (AS), are a perfect solution to the problem, Assuming that the spatial range of the antenna meets the requirements of signal multiplexing and based on the maximum capacity criterion of the selected MIMO system, the manuscript proposes a low computational complexity (CC) and high performance joint transmitting and receiving antenna selection technique (JTRAS). Starting from the traditional capacity formula and the full matrix of MIMO channel, we utilize a simplified channel capacity expression through repeatedly iterating to delete a row and a column of the equivalent decrement channel matrix, which is to remove a pair of transmitting and receiving antennas. Based on the decreasing JTRAS (DJTRAS) algorithm, the capacity results of simulating calculation indicate that its median capacity overtakes other ones, such as optimum selection (OS), AS based on Frobenius 2 norm (NBS), and concise joint AS criterion (CJAS) etc., and the novel DJTRAS scheme can significantly reduce computational complexity (CC) compared to the exhaustive search method with maximum capacity, which defined as optimal algorithm in the curve graphs. This new technology of the AS is particularly suited to large number of selected antennas, such as Lt ≥ NT/2,Lr ≥ NR/2. |
| first_indexed | 2024-12-18T02:55:42Z |
| format | Article |
| id | doaj.art-a8619f4101be49cb882b4392f0ea7891 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-12-18T02:55:42Z |
| publishDate | 2020-09-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-a8619f4101be49cb882b4392f0ea78912022-12-21T21:23:22ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562020-09-015256558010.2478/amns.2020.2.00031A Novel Joint Transmitting and Receiving Antenna Selection for Spatial Multiplexing SystemsZhuang Mingjie0Li Haitao1Lin Yisong2College of Engineering, Huaqiao University, Quanzhou, Fujian362021, ChinaCollege of Engineering, Huaqiao University, Quanzhou, Fujian362021, ChinaSchool of Information Science and Engineering, Huaqiao University, Xiamen361021, ChinaHow to reduce the hardware cost and high power consumption of RF link of communication device is the key problem to be solved for multi-transmitting antenna and multi-receiving antenna system (MIMO). Always choose the best antennas connection a limited number of RF circuits, which is called antenna selection technology (AS), are a perfect solution to the problem, Assuming that the spatial range of the antenna meets the requirements of signal multiplexing and based on the maximum capacity criterion of the selected MIMO system, the manuscript proposes a low computational complexity (CC) and high performance joint transmitting and receiving antenna selection technique (JTRAS). Starting from the traditional capacity formula and the full matrix of MIMO channel, we utilize a simplified channel capacity expression through repeatedly iterating to delete a row and a column of the equivalent decrement channel matrix, which is to remove a pair of transmitting and receiving antennas. Based on the decreasing JTRAS (DJTRAS) algorithm, the capacity results of simulating calculation indicate that its median capacity overtakes other ones, such as optimum selection (OS), AS based on Frobenius 2 norm (NBS), and concise joint AS criterion (CJAS) etc., and the novel DJTRAS scheme can significantly reduce computational complexity (CC) compared to the exhaustive search method with maximum capacity, which defined as optimal algorithm in the curve graphs. This new technology of the AS is particularly suited to large number of selected antennas, such as Lt ≥ NT/2,Lr ≥ NR/2.https://doi.org/10.2478/amns.2020.2.00031mimojoint transmitting and receiving as (jtras)channel capacityspatial multiplexingcomputational complexity (cc)94a9968q25 |
| spellingShingle | Zhuang Mingjie Li Haitao Lin Yisong A Novel Joint Transmitting and Receiving Antenna Selection for Spatial Multiplexing Systems Applied Mathematics and Nonlinear Sciences mimo joint transmitting and receiving as (jtras) channel capacity spatial multiplexing computational complexity (cc) 94a99 68q25 |
| title | A Novel Joint Transmitting and Receiving Antenna Selection for Spatial Multiplexing Systems |
| title_full | A Novel Joint Transmitting and Receiving Antenna Selection for Spatial Multiplexing Systems |
| title_fullStr | A Novel Joint Transmitting and Receiving Antenna Selection for Spatial Multiplexing Systems |
| title_full_unstemmed | A Novel Joint Transmitting and Receiving Antenna Selection for Spatial Multiplexing Systems |
| title_short | A Novel Joint Transmitting and Receiving Antenna Selection for Spatial Multiplexing Systems |
| title_sort | novel joint transmitting and receiving antenna selection for spatial multiplexing systems |
| topic | mimo joint transmitting and receiving as (jtras) channel capacity spatial multiplexing computational complexity (cc) 94a99 68q25 |
| url | https://doi.org/10.2478/amns.2020.2.00031 |
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