Asymptotic RZF cooperative beamforming algorithm based on energy efficiency
A low complexity asymptotic regularized zero forcing cooperative beamforming algorithm based on energy efficiency in heterogeneous massive MIMO system was proposed,aiming at the problem that the current multi-flow regularization zero forcing beamforming algorithm sets the power constraint of each an...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2019-10-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019174/ |
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| _version_ | 1841539382616522752 |
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| author | Yinghui ZHANG Biao ZHANG Xiaoting LU Yang LIU |
| author_facet | Yinghui ZHANG Biao ZHANG Xiaoting LU Yang LIU |
| author_sort | Yinghui ZHANG |
| collection | DOAJ |
| description | A low complexity asymptotic regularized zero forcing cooperative beamforming algorithm based on energy efficiency in heterogeneous massive MIMO system was proposed,aiming at the problem that the current multi-flow regularization zero forcing beamforming algorithm sets the power constraint of each antenna in the regularization term as a fixed value and ignores the influences of factors such as the number of antennas,the number of users and QoS.The algorithm selects the optimal antenna power constraint set through the optimization method,and the optimal beamforming was asymptotically ob-tained to balance the interference among users to achieve the optimal energy efficiency,considering the impact of the number of antennas and users with the constraints of the antenna power and QoS.In view of the importance of backhaul in massive MIMO system,a backhaul power consumption model and the impact of backhaul power consumption on system performance was analyzed.Analysis and simulation results show that the proposed algorithm has great improvement of the performance,especially when the number of antennas is large.The algorithm is close to optimal performance,especially suitable for massive MIMO system of next generation communication. |
| format | Article |
| id | doaj-art-cb2f330ccfff4d2c9d05da5302c2f42f |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2019-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-cb2f330ccfff4d2c9d05da5302c2f42f2025-01-14T07:17:58ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2019-10-014016917959730496Asymptotic RZF cooperative beamforming algorithm based on energy efficiencyYinghui ZHANGBiao ZHANGXiaoting LUYang LIUA low complexity asymptotic regularized zero forcing cooperative beamforming algorithm based on energy efficiency in heterogeneous massive MIMO system was proposed,aiming at the problem that the current multi-flow regularization zero forcing beamforming algorithm sets the power constraint of each antenna in the regularization term as a fixed value and ignores the influences of factors such as the number of antennas,the number of users and QoS.The algorithm selects the optimal antenna power constraint set through the optimization method,and the optimal beamforming was asymptotically ob-tained to balance the interference among users to achieve the optimal energy efficiency,considering the impact of the number of antennas and users with the constraints of the antenna power and QoS.In view of the importance of backhaul in massive MIMO system,a backhaul power consumption model and the impact of backhaul power consumption on system performance was analyzed.Analysis and simulation results show that the proposed algorithm has great improvement of the performance,especially when the number of antennas is large.The algorithm is close to optimal performance,especially suitable for massive MIMO system of next generation communication.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019174/energy efficiencypower constraintregularized zero-forcingmassive MIMOheterogeneous network |
| spellingShingle | Yinghui ZHANG Biao ZHANG Xiaoting LU Yang LIU Asymptotic RZF cooperative beamforming algorithm based on energy efficiency Tongxin xuebao energy efficiency power constraint regularized zero-forcing massive MIMO heterogeneous network |
| title | Asymptotic RZF cooperative beamforming algorithm based on energy efficiency |
| title_full | Asymptotic RZF cooperative beamforming algorithm based on energy efficiency |
| title_fullStr | Asymptotic RZF cooperative beamforming algorithm based on energy efficiency |
| title_full_unstemmed | Asymptotic RZF cooperative beamforming algorithm based on energy efficiency |
| title_short | Asymptotic RZF cooperative beamforming algorithm based on energy efficiency |
| title_sort | asymptotic rzf cooperative beamforming algorithm based on energy efficiency |
| topic | energy efficiency power constraint regularized zero-forcing massive MIMO heterogeneous network |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019174/ |
| work_keys_str_mv | AT yinghuizhang asymptoticrzfcooperativebeamformingalgorithmbasedonenergyefficiency AT biaozhang asymptoticrzfcooperativebeamformingalgorithmbasedonenergyefficiency AT xiaotinglu asymptoticrzfcooperativebeamformingalgorithmbasedonenergyefficiency AT yangliu asymptoticrzfcooperativebeamformingalgorithmbasedonenergyefficiency |