Coordinated Beamforming with Altruistic Precoding and User Selection for MU-MIMO System
Other cell interference (OCI) degrades the achievable capacity of downlink multiuser multiple-input multiple-output (MU-MIMO) systems seriously. Among OCI mitigation schemes, methods that sacrifice ξ degrees of freedom to nullify the OCI have been proven to be helpful to improve the cell edge throug...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2014/628149 |
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| author | Gaofeng Cui Yanjie Dong Weidong Wang Yinghai Zhang |
| author_facet | Gaofeng Cui Yanjie Dong Weidong Wang Yinghai Zhang |
| author_sort | Gaofeng Cui |
| collection | DOAJ |
| description | Other cell interference (OCI) degrades the achievable capacity of downlink multiuser multiple-input multiple-output (MU-MIMO) systems seriously. Among OCI mitigation schemes, methods that sacrifice ξ degrees of freedom to nullify the OCI have been proven to be helpful to improve the cell edge throughput. However, since interference nulling schemes can only improve the signal to interference plus noise ratio (SINR) of ξ users, they are not optimal in terms of average cell throughput, especially for low to medium OCI levels. We explore the question whether it is better to improve the SINR of every user in other cells rather than benefit ξ users. An altruistic precoding method to minimize the sum of generated interference for all of the other cell users is proposed with ξ degrees of freedom being sacrificed. With the altruistic precoding method, we deduce the lower bound on the capacity and solve the multicell user selection problem with a local optimal solution in which only eigenvalues of interfering channels are needed to be shared. Simulation results demonstrate that the proposed method outperforms the existing algorithms at any OCI level. Furthermore, we also analyze the best choice of degrees of freedom used to mitigate OCI through simulation. |
| format | Article |
| id | doaj-art-25ebee7f7cf647188fcaad51600b7333 |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-25ebee7f7cf647188fcaad51600b73332025-02-03T06:05:55ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772014-01-01201410.1155/2014/628149628149Coordinated Beamforming with Altruistic Precoding and User Selection for MU-MIMO SystemGaofeng Cui0Yanjie Dong1Weidong Wang2Yinghai Zhang3Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaInformation & Electronics Technology Lab, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaKey Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaKey Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaOther cell interference (OCI) degrades the achievable capacity of downlink multiuser multiple-input multiple-output (MU-MIMO) systems seriously. Among OCI mitigation schemes, methods that sacrifice ξ degrees of freedom to nullify the OCI have been proven to be helpful to improve the cell edge throughput. However, since interference nulling schemes can only improve the signal to interference plus noise ratio (SINR) of ξ users, they are not optimal in terms of average cell throughput, especially for low to medium OCI levels. We explore the question whether it is better to improve the SINR of every user in other cells rather than benefit ξ users. An altruistic precoding method to minimize the sum of generated interference for all of the other cell users is proposed with ξ degrees of freedom being sacrificed. With the altruistic precoding method, we deduce the lower bound on the capacity and solve the multicell user selection problem with a local optimal solution in which only eigenvalues of interfering channels are needed to be shared. Simulation results demonstrate that the proposed method outperforms the existing algorithms at any OCI level. Furthermore, we also analyze the best choice of degrees of freedom used to mitigate OCI through simulation.http://dx.doi.org/10.1155/2014/628149 |
| spellingShingle | Gaofeng Cui Yanjie Dong Weidong Wang Yinghai Zhang Coordinated Beamforming with Altruistic Precoding and User Selection for MU-MIMO System International Journal of Antennas and Propagation |
| title | Coordinated Beamforming with Altruistic Precoding and User Selection for MU-MIMO System |
| title_full | Coordinated Beamforming with Altruistic Precoding and User Selection for MU-MIMO System |
| title_fullStr | Coordinated Beamforming with Altruistic Precoding and User Selection for MU-MIMO System |
| title_full_unstemmed | Coordinated Beamforming with Altruistic Precoding and User Selection for MU-MIMO System |
| title_short | Coordinated Beamforming with Altruistic Precoding and User Selection for MU-MIMO System |
| title_sort | coordinated beamforming with altruistic precoding and user selection for mu mimo system |
| url | http://dx.doi.org/10.1155/2014/628149 |
| work_keys_str_mv | AT gaofengcui coordinatedbeamformingwithaltruisticprecodinganduserselectionformumimosystem AT yanjiedong coordinatedbeamformingwithaltruisticprecodinganduserselectionformumimosystem AT weidongwang coordinatedbeamformingwithaltruisticprecodinganduserselectionformumimosystem AT yinghaizhang coordinatedbeamformingwithaltruisticprecodinganduserselectionformumimosystem |