Joint user activity and signal detection for massive multiple-input multiple-output
In uplink grant-free massive multiple-input multiple-output (mMIMO) systems, the performance of available methods for joint user activity and signal detection deteriorates when the correlation of receiving antennas or the number of active devices increases.Moreover, the available methods require the...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2021-05-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021002/ |
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| _version_ | 1841529039607562240 |
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| author | Xiaoqun SONG Ming JIN Zhongjie JIA |
| author_facet | Xiaoqun SONG Ming JIN Zhongjie JIA |
| author_sort | Xiaoqun SONG |
| collection | DOAJ |
| description | In uplink grant-free massive multiple-input multiple-output (mMIMO) systems, the performance of available methods for joint user activity and signal detection deteriorates when the correlation of receiving antennas or the number of active devices increases.Moreover, the available methods require the knowledge of noise power, which is often practically unknown.To address the above issues, combining approximate message passing with unitary transformation and expectation maximization algorithm to jointly implement user activity and signal detection was proposed.Different from the conventional approximate message passing algorithm, the proposed one assumes that the noise power was unknown.Firstly, by exploiting the approximate message passing algorithm with unitary transform, the distribution of transmitted symbols together with the distribution of noise power was obtained.Secondly, expectation maximization algorithm was applied to estimate the user activity.Finally, the signal detection was implemented by deriving the posterior distribution of the decoupled signal belongs.Simulation results show that the proposed method is better than the traditional method in joint user activity and signal detection. |
| format | Article |
| id | doaj-art-abb679479c624a28916bb44027958d4f |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2021-05-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-abb679479c624a28916bb44027958d4f2025-01-15T03:26:17ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012021-05-013711312359808144Joint user activity and signal detection for massive multiple-input multiple-outputXiaoqun SONGMing JINZhongjie JIAIn uplink grant-free massive multiple-input multiple-output (mMIMO) systems, the performance of available methods for joint user activity and signal detection deteriorates when the correlation of receiving antennas or the number of active devices increases.Moreover, the available methods require the knowledge of noise power, which is often practically unknown.To address the above issues, combining approximate message passing with unitary transformation and expectation maximization algorithm to jointly implement user activity and signal detection was proposed.Different from the conventional approximate message passing algorithm, the proposed one assumes that the noise power was unknown.Firstly, by exploiting the approximate message passing algorithm with unitary transform, the distribution of transmitted symbols together with the distribution of noise power was obtained.Secondly, expectation maximization algorithm was applied to estimate the user activity.Finally, the signal detection was implemented by deriving the posterior distribution of the decoupled signal belongs.Simulation results show that the proposed method is better than the traditional method in joint user activity and signal detection.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021002/massive multiple-input multiple-outputuser activity detectionsignal detectionapproximate message passing with unitary transformation |
| spellingShingle | Xiaoqun SONG Ming JIN Zhongjie JIA Joint user activity and signal detection for massive multiple-input multiple-output Dianxin kexue massive multiple-input multiple-output user activity detection signal detection approximate message passing with unitary transformation |
| title | Joint user activity and signal detection for massive multiple-input multiple-output |
| title_full | Joint user activity and signal detection for massive multiple-input multiple-output |
| title_fullStr | Joint user activity and signal detection for massive multiple-input multiple-output |
| title_full_unstemmed | Joint user activity and signal detection for massive multiple-input multiple-output |
| title_short | Joint user activity and signal detection for massive multiple-input multiple-output |
| title_sort | joint user activity and signal detection for massive multiple input multiple output |
| topic | massive multiple-input multiple-output user activity detection signal detection approximate message passing with unitary transformation |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021002/ |
| work_keys_str_mv | AT xiaoqunsong jointuseractivityandsignaldetectionformassivemultipleinputmultipleoutput AT mingjin jointuseractivityandsignaldetectionformassivemultipleinputmultipleoutput AT zhongjiejia jointuseractivityandsignaldetectionformassivemultipleinputmultipleoutput |