Beam Discovery Signal-Based Beam Selection in Millimeter Wave Heterogeneous Networks
Most beam selection algorithms determine the best beam according to the methods of feedback and exhaustive search in a millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) system. However, the exhaustive search and the redundant feedback will result in high computational complexity...
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8314094/ |
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| author | Bo Yin Yanbo Chen Zufan Zhang Mengjun Wang Shaohui Sun |
| author_facet | Bo Yin Yanbo Chen Zufan Zhang Mengjun Wang Shaohui Sun |
| author_sort | Bo Yin |
| collection | DOAJ |
| description | Most beam selection algorithms determine the best beam according to the methods of feedback and exhaustive search in a millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) system. However, the exhaustive search and the redundant feedback will result in high computational complexity. This paper proposes a mmWave massive MIMO beam selection algorithm based on the beam discovery signal (BDS), where each beam transmitted by the mmWave access point is identified by a specific BDS, and the best beam for the user equipment is then determined by detecting the BDS. In addition, in mmWave heterogeneous networks with densely deployed small cells, strong interference beams are determined through inter-cell cooperation, and orthogonal codes are allocated to the optimal beams and strong interference beams to reduce beam interference from adjacent cells. Simulation results show that the proposed algorithm can avoid the computational complexity caused by exhaustive search, thus simplifying the beam selection process. Furthermore, the algorithm can effectively suppress inter-cell beam interference in multi-cell scenario, and the sum-rate can be further increased. |
| format | Article |
| id | doaj-art-a153dce9e45b42bba033765539a7d412 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-a153dce9e45b42bba033765539a7d4122025-08-20T03:10:10ZengIEEEIEEE Access2169-35362018-01-016163141632310.1109/ACCESS.2018.28146238314094Beam Discovery Signal-Based Beam Selection in Millimeter Wave Heterogeneous NetworksBo Yin0Yanbo Chen1Zufan Zhang2https://orcid.org/0000-0001-5315-2065Mengjun Wang3Shaohui Sun4School of Optoelectronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing, ChinaSchool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, ChinaSchool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, ChinaState Key Laboratory of Wireless Mobile Communications, China Academy of Telecommunications Technology, Beijing, ChinaState Key Laboratory of Wireless Mobile Communications, China Academy of Telecommunications Technology, Beijing, ChinaMost beam selection algorithms determine the best beam according to the methods of feedback and exhaustive search in a millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) system. However, the exhaustive search and the redundant feedback will result in high computational complexity. This paper proposes a mmWave massive MIMO beam selection algorithm based on the beam discovery signal (BDS), where each beam transmitted by the mmWave access point is identified by a specific BDS, and the best beam for the user equipment is then determined by detecting the BDS. In addition, in mmWave heterogeneous networks with densely deployed small cells, strong interference beams are determined through inter-cell cooperation, and orthogonal codes are allocated to the optimal beams and strong interference beams to reduce beam interference from adjacent cells. Simulation results show that the proposed algorithm can avoid the computational complexity caused by exhaustive search, thus simplifying the beam selection process. Furthermore, the algorithm can effectively suppress inter-cell beam interference in multi-cell scenario, and the sum-rate can be further increased.https://ieeexplore.ieee.org/document/8314094/Millimeter wavebeam selectionbeam discovery signalheterogeneous networksinter-cell cooperation |
| spellingShingle | Bo Yin Yanbo Chen Zufan Zhang Mengjun Wang Shaohui Sun Beam Discovery Signal-Based Beam Selection in Millimeter Wave Heterogeneous Networks IEEE Access Millimeter wave beam selection beam discovery signal heterogeneous networks inter-cell cooperation |
| title | Beam Discovery Signal-Based Beam Selection in Millimeter Wave Heterogeneous Networks |
| title_full | Beam Discovery Signal-Based Beam Selection in Millimeter Wave Heterogeneous Networks |
| title_fullStr | Beam Discovery Signal-Based Beam Selection in Millimeter Wave Heterogeneous Networks |
| title_full_unstemmed | Beam Discovery Signal-Based Beam Selection in Millimeter Wave Heterogeneous Networks |
| title_short | Beam Discovery Signal-Based Beam Selection in Millimeter Wave Heterogeneous Networks |
| title_sort | beam discovery signal based beam selection in millimeter wave heterogeneous networks |
| topic | Millimeter wave beam selection beam discovery signal heterogeneous networks inter-cell cooperation |
| url | https://ieeexplore.ieee.org/document/8314094/ |
| work_keys_str_mv | AT boyin beamdiscoverysignalbasedbeamselectioninmillimeterwaveheterogeneousnetworks AT yanbochen beamdiscoverysignalbasedbeamselectioninmillimeterwaveheterogeneousnetworks AT zufanzhang beamdiscoverysignalbasedbeamselectioninmillimeterwaveheterogeneousnetworks AT mengjunwang beamdiscoverysignalbasedbeamselectioninmillimeterwaveheterogeneousnetworks AT shaohuisun beamdiscoverysignalbasedbeamselectioninmillimeterwaveheterogeneousnetworks |