Joint Interference and Phase Alignment among Data Streams in Multicell MIMO Broadcasting
For the problem of channel state information (CSI) delay and error, this paper proposes a joint interference and phase alignment algorithm based on Bayesian estimation and power allocation among data streams for multicell, multiple-input multiple-output broadcast channels (MIMO-BC). Firstly, the sen...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-07-01
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| Series: | Applied Sciences |
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| Online Access: | http://www.mdpi.com/2076-3417/8/8/1237 |
| _version_ | 1819178647372693504 |
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| author | Waleed Shahjehan Syed Waqar Shah Jaime Lloret Ignacio Bosch |
| author_facet | Waleed Shahjehan Syed Waqar Shah Jaime Lloret Ignacio Bosch |
| author_sort | Waleed Shahjehan |
| collection | DOAJ |
| description | For the problem of channel state information (CSI) delay and error, this paper proposes a joint interference and phase alignment algorithm based on Bayesian estimation and power allocation among data streams for multicell, multiple-input multiple-output broadcast channels (MIMO-BC). Firstly, the sender obtains the best estimate of the current CSI through Bayesian estimation. Secondly, the interference suppression matrix is designed by maximizing the ratio of the desired signal power to the intercell interference plus noise ratio (SINR) in the forward link, and in the reverse communication, by maximizing the SINR design precoding. Further, the water-filling algorithm is combined to optimize power allocation among data streams. Finally, the phase alignment is used to rotate the interference between data streams into the signal space of the target receive data stream, thereby enhancing the received power of the target data stream. Simulation results show that the proposed algorithm has certain performance advantages over other algorithms, whether it is ideal CSI or delay and error CSI. |
| first_indexed | 2024-12-22T21:45:52Z |
| format | Article |
| id | doaj.art-43b864a9925d4360b8f9d6479961363a |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-22T21:45:52Z |
| publishDate | 2018-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-43b864a9925d4360b8f9d6479961363a2022-12-21T18:11:30ZengMDPI AGApplied Sciences2076-34172018-07-0188123710.3390/app8081237app8081237Joint Interference and Phase Alignment among Data Streams in Multicell MIMO BroadcastingWaleed Shahjehan0Syed Waqar Shah1Jaime Lloret2Ignacio Bosch3Department of Electrical Engineering, University of Engineering & Technology, Peshawar 814 KPK, PakistanDepartment of Electrical Engineering, University of Engineering & Technology, Peshawar 814 KPK, PakistanIntegrated Management Coastal Research Institute, Universitat Politecnica de Valencia, C/ Paranimf nº 1, Gandia, 46730 Valencia, Grao de Gandia, SpainInstitute of Telecommunications and Multimedia Applications (iTEAM), Universitat Politècnica de València, Camino Vera n/n, 46022 Valencia, SpainFor the problem of channel state information (CSI) delay and error, this paper proposes a joint interference and phase alignment algorithm based on Bayesian estimation and power allocation among data streams for multicell, multiple-input multiple-output broadcast channels (MIMO-BC). Firstly, the sender obtains the best estimate of the current CSI through Bayesian estimation. Secondly, the interference suppression matrix is designed by maximizing the ratio of the desired signal power to the intercell interference plus noise ratio (SINR) in the forward link, and in the reverse communication, by maximizing the SINR design precoding. Further, the water-filling algorithm is combined to optimize power allocation among data streams. Finally, the phase alignment is used to rotate the interference between data streams into the signal space of the target receive data stream, thereby enhancing the received power of the target data stream. Simulation results show that the proposed algorithm has certain performance advantages over other algorithms, whether it is ideal CSI or delay and error CSI.http://www.mdpi.com/2076-3417/8/8/1237MIMOrobust interference alignmentdelay and errorBayesian estimation |
| spellingShingle | Waleed Shahjehan Syed Waqar Shah Jaime Lloret Ignacio Bosch Joint Interference and Phase Alignment among Data Streams in Multicell MIMO Broadcasting Applied Sciences MIMO robust interference alignment delay and error Bayesian estimation |
| title | Joint Interference and Phase Alignment among Data Streams in Multicell MIMO Broadcasting |
| title_full | Joint Interference and Phase Alignment among Data Streams in Multicell MIMO Broadcasting |
| title_fullStr | Joint Interference and Phase Alignment among Data Streams in Multicell MIMO Broadcasting |
| title_full_unstemmed | Joint Interference and Phase Alignment among Data Streams in Multicell MIMO Broadcasting |
| title_short | Joint Interference and Phase Alignment among Data Streams in Multicell MIMO Broadcasting |
| title_sort | joint interference and phase alignment among data streams in multicell mimo broadcasting |
| topic | MIMO robust interference alignment delay and error Bayesian estimation |
| url | http://www.mdpi.com/2076-3417/8/8/1237 |
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