Polarization Combining and Equalization in 5G Mobile-to-Mobile Systems
This article develops maximum likelihood (ML) detection for post-FFT processing of dual-polarized antenna outputs with a cyclic-prefix OFDM (CP-OFDM) waveform for a frequency selective multipath fading in a 5G mobile-to-mobile setting. The suggested maximum likelihood detector (MLD) comprises a comb...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9764703/ |
| _version_ | 1818250808187158528 |
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| author | Farah Arabian Michael Rice |
| author_facet | Farah Arabian Michael Rice |
| author_sort | Farah Arabian |
| collection | DOAJ |
| description | This article develops maximum likelihood (ML) detection for post-FFT processing of dual-polarized antenna outputs with a cyclic-prefix OFDM (CP-OFDM) waveform for a frequency selective multipath fading in a 5G mobile-to-mobile setting. The suggested maximum likelihood detector (MLD) comprises a combiner applied to the channel matched filter outputs (designated MLC) followed by a decision rule based on correlation and signal energy. When MLC is coupled with a frequency-domain equalizer, this structure is called MLC+FDE. The designed MLD and MLC+FDE are compared to the traditional combining techniques: maximum ratio combining, equal gain combining, and selection combining. Computer simulations performed over a stochastic channel model with polarization state information. The simulation results show that the difference between MLD and maximum ratio combining (the best performing method), MLC+FDE (almost the best performing method) and selection diversity with frequency-domain equalization (the worst performing method) is 2 dB. This diversity improvement is limited by the correlation between the two channels that characterize the two polarization states. This correlation makes it difficult to achieve reliable transmission through combining alone; some form of error control coding is also needed. When channel estimates are used in place of perfect channel knowledge, an error floor is observed. |
| first_indexed | 2024-12-12T15:58:16Z |
| format | Article |
| id | doaj.art-5dc2988ee561462498cba7937a669915 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-12T15:58:16Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-5dc2988ee561462498cba7937a6699152022-12-22T00:19:26ZengIEEEIEEE Access2169-35362022-01-0110458814589210.1109/ACCESS.2022.31708419764703Polarization Combining and Equalization in 5G Mobile-to-Mobile SystemsFarah Arabian0https://orcid.org/0000-0001-6763-8605Michael Rice1https://orcid.org/0000-0001-5150-4792Department of Electrical and Computer Engineering, Brigham Young University, Provo, UT, USADepartment of Electrical and Computer Engineering, Brigham Young University, Provo, UT, USAThis article develops maximum likelihood (ML) detection for post-FFT processing of dual-polarized antenna outputs with a cyclic-prefix OFDM (CP-OFDM) waveform for a frequency selective multipath fading in a 5G mobile-to-mobile setting. The suggested maximum likelihood detector (MLD) comprises a combiner applied to the channel matched filter outputs (designated MLC) followed by a decision rule based on correlation and signal energy. When MLC is coupled with a frequency-domain equalizer, this structure is called MLC+FDE. The designed MLD and MLC+FDE are compared to the traditional combining techniques: maximum ratio combining, equal gain combining, and selection combining. Computer simulations performed over a stochastic channel model with polarization state information. The simulation results show that the difference between MLD and maximum ratio combining (the best performing method), MLC+FDE (almost the best performing method) and selection diversity with frequency-domain equalization (the worst performing method) is 2 dB. This diversity improvement is limited by the correlation between the two channels that characterize the two polarization states. This correlation makes it difficult to achieve reliable transmission through combining alone; some form of error control coding is also needed. When channel estimates are used in place of perfect channel knowledge, an error floor is observed.https://ieeexplore.ieee.org/document/9764703/Frequency selective multipath fadingCP-OFDMpolarization diversitydiversity combiningequalization5G-FR1 |
| spellingShingle | Farah Arabian Michael Rice Polarization Combining and Equalization in 5G Mobile-to-Mobile Systems IEEE Access Frequency selective multipath fading CP-OFDM polarization diversity diversity combining equalization 5G-FR1 |
| title | Polarization Combining and Equalization in 5G Mobile-to-Mobile Systems |
| title_full | Polarization Combining and Equalization in 5G Mobile-to-Mobile Systems |
| title_fullStr | Polarization Combining and Equalization in 5G Mobile-to-Mobile Systems |
| title_full_unstemmed | Polarization Combining and Equalization in 5G Mobile-to-Mobile Systems |
| title_short | Polarization Combining and Equalization in 5G Mobile-to-Mobile Systems |
| title_sort | polarization combining and equalization in 5g mobile to mobile systems |
| topic | Frequency selective multipath fading CP-OFDM polarization diversity diversity combining equalization 5G-FR1 |
| url | https://ieeexplore.ieee.org/document/9764703/ |
| work_keys_str_mv | AT faraharabian polarizationcombiningandequalizationin5gmobiletomobilesystems AT michaelrice polarizationcombiningandequalizationin5gmobiletomobilesystems |