Enhance the Capacity of MIMO Wireless Communication Channel using SVD and Optimal Power Allocation Algorithm
Multiple input multiple output (MIMO) is a multiple antenna technology used extensively in wireless communication systems. With the ever increasing demand in high data rates, MIMO system is the necessity of wireless communication. In MIMO wireless communication system, where the multiple antennas ar...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Polish Academy of Sciences
2019-02-01
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| Series: | International Journal of Electronics and Telecommunications |
| Subjects: | |
| Online Access: | https://journals.pan.pl/Content/110198/PDF/11_1329_new.pdf |
| _version_ | 1828152532669562880 |
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| author | Dalveer Kaur Neeraj Kumar |
| author_facet | Dalveer Kaur Neeraj Kumar |
| author_sort | Dalveer Kaur |
| collection | DOAJ |
| description | Multiple input multiple output (MIMO) is a multiple antenna technology used extensively in wireless communication systems. With the ever increasing demand in high data rates, MIMO system is the necessity of wireless communication. In MIMO wireless communication system, where the multiple antennas are placed on base station and mobile station, the major problem is the constant power of base station, which has to be allocated to data streams optimally. This problem is referred as a power allocation problem. In this research, singular value decomposition (SVD) is used to decouple the MIMO system in the presence of channel state information (CSI) at the base station and forms parallel channels between base station and mobile station. This practice parallel channel ensures the simultaneous transmission of parallel data streams between base station and mobile station. Along with this, water filling algorithm is used in this research to allocate power to each data stream optimally. Further the relationship between the channel capacity of MIMO wireless system and the number of antennas at the base station and the mobile station is derived mathematically. The performance comparison of channel capacity for MIMO systems, both in the presence and absence of CSI is done. Finally, the effect of channel correlation because of antennas at the base stations and the mobile stations in the MIMO systems is also measured. |
| first_indexed | 2024-04-11T22:11:36Z |
| format | Article |
| id | doaj.art-414c9e3f1097437e8a998d807f1f8956 |
| institution | Directory Open Access Journal |
| issn | 2081-8491 2300-1933 |
| language | English |
| last_indexed | 2024-04-11T22:11:36Z |
| publishDate | 2019-02-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | International Journal of Electronics and Telecommunications |
| spelling | doaj.art-414c9e3f1097437e8a998d807f1f89562022-12-22T04:00:32ZengPolish Academy of SciencesInternational Journal of Electronics and Telecommunications2081-84912300-19332019-02-01vol. 65No 17178https://doi.org/10.24425/ijet.2019.126285Enhance the Capacity of MIMO Wireless Communication Channel using SVD and Optimal Power Allocation AlgorithmDalveer KaurNeeraj KumarMultiple input multiple output (MIMO) is a multiple antenna technology used extensively in wireless communication systems. With the ever increasing demand in high data rates, MIMO system is the necessity of wireless communication. In MIMO wireless communication system, where the multiple antennas are placed on base station and mobile station, the major problem is the constant power of base station, which has to be allocated to data streams optimally. This problem is referred as a power allocation problem. In this research, singular value decomposition (SVD) is used to decouple the MIMO system in the presence of channel state information (CSI) at the base station and forms parallel channels between base station and mobile station. This practice parallel channel ensures the simultaneous transmission of parallel data streams between base station and mobile station. Along with this, water filling algorithm is used in this research to allocate power to each data stream optimally. Further the relationship between the channel capacity of MIMO wireless system and the number of antennas at the base station and the mobile station is derived mathematically. The performance comparison of channel capacity for MIMO systems, both in the presence and absence of CSI is done. Finally, the effect of channel correlation because of antennas at the base stations and the mobile stations in the MIMO systems is also measured.https://journals.pan.pl/Content/110198/PDF/11_1329_new.pdfmimowater filling algorithmsingular value decompositionchannel state informationchannel capacity |
| spellingShingle | Dalveer Kaur Neeraj Kumar Enhance the Capacity of MIMO Wireless Communication Channel using SVD and Optimal Power Allocation Algorithm International Journal of Electronics and Telecommunications mimo water filling algorithm singular value decomposition channel state information channel capacity |
| title | Enhance the Capacity of MIMO Wireless Communication Channel using SVD and Optimal Power Allocation Algorithm |
| title_full | Enhance the Capacity of MIMO Wireless Communication Channel using SVD and Optimal Power Allocation Algorithm |
| title_fullStr | Enhance the Capacity of MIMO Wireless Communication Channel using SVD and Optimal Power Allocation Algorithm |
| title_full_unstemmed | Enhance the Capacity of MIMO Wireless Communication Channel using SVD and Optimal Power Allocation Algorithm |
| title_short | Enhance the Capacity of MIMO Wireless Communication Channel using SVD and Optimal Power Allocation Algorithm |
| title_sort | enhance the capacity of mimo wireless communication channel using svd and optimal power allocation algorithm |
| topic | mimo water filling algorithm singular value decomposition channel state information channel capacity |
| url | https://journals.pan.pl/Content/110198/PDF/11_1329_new.pdf |
| work_keys_str_mv | AT dalveerkaur enhancethecapacityofmimowirelesscommunicationchannelusingsvdandoptimalpowerallocationalgorithm AT neerajkumar enhancethecapacityofmimowirelesscommunicationchannelusingsvdandoptimalpowerallocationalgorithm |