Dai xiaoming
戴晓明,kaiyun体育登录网页入口教授、博士生导师,IMT-2020(5G)新型多址接入技术组副组长,无线通信与信号处理实验室主任,研究方向:6G关键技术、语音信号处理、人工智能、大数据和ASIC芯片设计等。
主要从事无线传输和接收机设计理论与关键技术方面的研究,提出“低复杂度性能无损最大似然检测(Reduced Complexity Performance-lossless Maximum Likelihood Detection)” [11][14][39]、“图样分割多址接入(Pattern Division Multiple Access, PDMA)”[37]、“复杂度受限容量可达非正交多址接入设计(Complexity-Constrained Capacity-Achieving Non-Orthogonal Multiple Access Design)”[1]和“图样分割随机接入(Pattern Division Random Access, PDRA)”[3]等技术。
1)学术研究相关工作
以第一作者身份发表学术论文30余篇,其中IEEE Trans. Commun.,IEEE Wireless Commun.等SCI文章10余篇(JCR一二区期刊8篇),以通信作者身份发表学术论文20余篇,申请/授权国内国际发明专利30余项。研究成果[15][41]被国际电信联盟(International Telecommunications Union, ITU)“未来地面无线通信技术发展趋势(Future Technology Trends of Terrestrial IMT Systems)”报告引用(页码6)[54];研究成果[41]被华为2013全球创新计划研究项目(项目编号:IRP-2013-01-02,页码8)作为唯一参考文献引用[56];在文献[11]中提出一种将最大似然(Maximum Likelihood, ML)检测算法复杂度降低一个数量级,性能仍然保持一致(数学上等价)的简化ML检测算法,检测方面的研究成果被韩国Sejong大学电子工程系作为员工文献阅读材料;研究成果[8][11]被欧盟第七框架计划(7th Framework Program, FP7)核心项目引用[67];研究成果[6][8]专利引用44次(东京大学他引用次数255次[69][70])。
2)实际应用相关工作
2006年所提出的蜂窝系统导频设计方案被4G核心物理层标准采纳;2013年在文献[37]中提出“图样分割多址接入(Pattern Division Multiple Access, PDMA)”技术;2018年在文献[1]中提出“复杂度受限下容量可达非正交多址接入设计原则(Complexity-Constrained Capacity-Achieving Non-Orthogonal Multiple Access Design Principle)”;2021年在文献[3]中提出“图样分割随机接入(Pattern Division Random Access, PDRA)”技术。
所提PDMA技术[37]分别被IMT-2020(5G)推进组和ITU纳入5G白皮书[55]和“未来地面无线通信技术发展趋势”技术报告(页码6)[54],同时在国际标准化组织3GPP工作组关于5G的标准化会议上,该项技术被华为、中国移动、大唐电信、中兴通讯(ZTE)及展讯通信等多家通信企业的方向性技术文稿多次引用[59]-[64],被列为“国家863计划5G移动通信先期研究重大项目”重要阶段性和进展标志性成果[65](形成了以“PDMA非正交多址接入+多元LDPC编码”为代表的5G谱效提升总体技术方案),且被ITU和3GPP列为5G标准化三项主流候选多址接入方案之一;PDRA技术于2022年3月作为单独一章纳入“FuTURE论坛”《6G演进多址接入技术》白皮书[57]。在检测与估计方面工作:“性能无损低复杂度多元LDPC译码器”被IMT-2030(6G)推进组作为单独一节纳入《先进调制编码技术研究报告》[58],并作为报告的27篇基础参考文献之一被引用。在分布式信号处理方面的工作[22][21]被华为2022年技术成果转化二等奖“分布式基带架构的新型信道估计”作为项目指导文献(国内唯一单位[68])。
在担任IMT-2020(5G)新型多址接入技术组副组长期间,负责牵头IMT-2020(5G)新型多址接入技术方案征集、评估以及白皮书撰写。
3)科研项目
与国防科工局、军委装备发展部、华为、中国移动、ZTE、中国信科、是德科技(Keysight Technologies,HP仪器仪表部门)、紫光展锐、OPPO以及小米科技等通信企业就3/4/5/6G移动通信和信号处理关键技术等前沿研究多次开展合作,对产业界需求、标准制定、方案设计、产品研发以及项目管理等方面有深入理解,研究团队秉承“创新扎根实践,科研服务社会”的宗旨,在相关领域已经进行了长期积累,研究成果丰硕,热诚欢迎优秀员工及科研人员加入我们。
[1] X. Dai, Z. Zhang, S. Chen, S. Sun, and B. Bai, “Pattern Division Multiple Access (PDMA): A new multiple access technology for 5G,” IEEE Wireless Commun., vol. 25, no. 2, pp. 54-60, Apr. 2018.
[2] X. Dai, “Allele gene based adaptive genetic algorithm to the code design,” IEEE Trans. Commun., vol. 59, no. 5, pp. 1253-1259, May 2011.
[3] X. Dai, T. Yan, Q. Li, H. Li, and X. Wang, “Pattern Division Random Access (PDRA) for M2M communications with massive MIMO systems,” IEEE Trans. Veh. Technol., vol. 70, no. 12, pp.12631-12639, Dec. 2021.
[4] X. Dai, K. Higuchi, Z. Zhang, K. Long, S. Sun, and Y. Wang, “Enhancing the performance of the quasi-ML receiver (detector plus decoder) for coded MIMO systems via statistical information,” IEEE Trans. Veh. Technol., vol. 65, no. 5, pp. 3765-3771, May 2016.
[5] X. Dai, Z. Zhang, K. Long, S. Sun, and Y. Wang, “Unequal error correcting capability aware iterative receiver for (parallel) turbo coded communications,” IEEE Trans. Veh. Technol., vol. 63, no. 7, pp. 3446-3451, Sept. 2014.
[6] X. Dai, R. Zou, S. Sun, and Y. Wang, “Reducing the complexity of quasi-maximum-likelihood detectors through companding for coded MIMO systems,” IEEE Trans. Veh. Technol., vol. 61, no. 3, pp. 1109-1123, Mar. 2012.
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[9] X. Dai, “Enhancing the performance of the SIC-MMSE iterative receiver for coded MIMO systems via companding,” IEEE Commun. Lett., vol. 16, no. 6, pp. 921-924, Jun. 2012.
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[12] X. Dai, T. Yan, Y. Dong, Y. Luo, and H. Li, “Low-complexity joint weighted neumann series and gauss-seidel soft-output detection for massive MIMO systems,” Wireless Pers. Commun., vol. 120, no. 4, pp. 2802-2811, Oct. 2021.
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[16] H. Li, Y. Dong, C. Gong, X. Wang and X. Dai*, “Decentralized Groupwise Expectation Propagation Detector for Uplink Massive MU-MIMO Systems,” IEEE Internet of Things J., vol. 10, no. 6, pp. 5393-5405, 15 March15, 2023. (*Corresponding author)
[17] H. Li, C. Gong, Q. Li, S. Hao, X. Wang and X. Dai*, “OTFS-PDMA Scheme with EPA-Based Receivers for High-Mobility IoT Networks”, IEEE Trans. Wireless Commun., 2023. DOI: 10.1109/TWC.2023.3323559 (*Corresponding author)
[18] C. Gong, H. Li, S. Hao, K. Long and X. Dai*, “Active RIS Enabled Secure NOMA Communications With Discrete Phase Shifting”, IEEE Trans. Wireless Commun., 2023. DOI: 10.1109/TWC.2023.3309006 (*Corresponding author)
[19] Z. Zhang, C. Gong, Y. Dong, X. Wang, and X. Dai*, “Expectation propagation aided signal detection for uplink massive generalized spatial modulation MIMO systems,” IEEE Trans. Wireless Commun., vol. 21, no. 3, pp. 2006-2018, Mar. 2022. (*Corresponding author)
[20] H. Li, Y. Dong, C. Gong, X. Wang and X. Dai*, “Gaussian Message Passing Detection With Constant Front-Haul Signaling for Cell-Free Massive MIMO,” IEEE Trans. Veh. Technol., vol. 72, no. 4, pp. 5395-5400, April 2023. (*Corresponding author)
[21] Z. Zhang, Y. Dong, K. Long, X. Wang, and X. Dai*, “Decentralized baseband processing with gaussian message passing detection for uplink massive MU-MIMO systems,” IEEE Trans. Veh. Technol., vol. 71, no. 2, pp. 2152-2159, Feb. 2022. (*Corresponding author)
[22] Z. Zhang, H. Li, Y. Dong, X. Wang, and X. Dai*, “Decentralized signal detection via expectation propagation algorithm for uplink massive MIMO systems,” IEEE Trans. Veh. Technol., vol. 69, no. 10, pp. 11233-11240, Oct. 2020. (*Corresponding author)
[23] H. Li, Y. Dong, C. Gong, Z. Zhang, X. Wang and X. Dai*, “A Non-gaussianity-aware receiver for impulsive noise mitigation in underwater communications,” IEEE Trans. Veh. Technol, vol. 70, no. 6, pp. 6018-6028, Jun. 2021. (*Corresponding author)
[24] C. Gong, X. Yue, Z. Zhang, X. Wang, and X. Dai*, “Enhancing physical layer security with artificial noise in large-scale NOMA networks,” IEEE Trans. Veh. Technol., vol. 70, no. 3, pp. 2349-2361, Mar. 2021. (*Corresponding author)
[25] C. Gong, X. Yue, X. Wang, X. Dai*, R. Zou, and M. Essaaidi, “Intelligent reflecting surface aided secure communications for NOMA networks,” IEEE Trans. Veh. Technol., vol. 71, no. 3, pp. 2761-2773, Mar. 2022. (*Corresponding author)
[26] Y. Dong, H. Li, C. Gong, X. Wang and X. Dai*,“An Enhanced Fully Decentralized Detector for the Uplink M-MIMO System,” IEEE Trans. Veh. Technol., vol. 71, no. 12, pp. 13030-13042, Dec. 2022. (*Corresponding author)
[27] Y. Dong, H. Li, X. Wang, X. Dai* and K. Long, “Robust Expectation Propagation Detector in Impulsive Noise Channel,” IEEE Syst. J., vol. 17, no. 2, pp. 2049-2052, Jun. 2023. (*Corresponding author)
[28] Z. Zhang, C Gong, H. Li, Y. Dong, X. Wang, and X. Dai*, “Soft-input soft-output detection via expectation propagation for massive spatial modulation MIMO systems,” IEEE Commun. Lett., vol. 25, no. 4, pp. 1173-1177, Apr. 2021. (*Corresponding author)
[29] H. Li, Y. Dong, C. Gong, Z. Zhang, X. Wang, and X. Dai*, “Low complexity receiver via expectation propagation for OTFS modulation,” IEEE Commun. Lett., vol. 25, no. 10, pp. 3180-3184, Oct. 2021. (*Corresponding author)
[30] Y. Dong, H. Li, Z. Zhang, X. Wang, and X. Dai*, “Efficient EP Detectors Based on Channel Sparsification for Massive MIMO Systems” IEEE Commun. Lett., vol. 24, no. 3, pp. 539-542, Mar. 2020. (*Corresponding author)
[31] Y. Dong, C. Gong, Z. Zhang, X. Wang, K. Long, and X. Dai*, “Low-complexity EP receiver based on location-aware and reliability-aware strategy,” IEEE Commun. Lett., vol. 25, no. 6, pp. 2034-2038, Jun. 2021. (*Corresponding author)
[32] H. Zhuang, J. Li, W. Geng, and X. Dai*, “Duplexer design for full-duplex based wireless communications,” China Commun., vol.13, no.11, pp.1-13, Nov. 2016. (*Corresponding author)
[33] B. Zhong, J. Zhang, Q. Zeng, and X. Dai*, “Coverage probability analysis for Full-Duplex relay aided Device-to-Device communications networks,” China Commun., vol.13, no.11 pp.60-67, Nov. 2016. (*Corresponding author)
[34] X. Sun, D. Zhang, and X. Dai*, “Performance analysis of Full-Duplex based two-way relaying” China Commun., vol.13, no.11, pp.35-48, Dec. 2016. (*Corresponding author)
[35] H. Li, Y. Dong, C. Gong, Z. Zhang, X. Wang, and X. Dai*. “A Low-Complexity Precoding Scheme for Downlink Massive MU-MIMO Systems with Low-Resolution DACs,” Wire. Personal Commun., pp. 3627-3640, May. 2022. (*Corresponding author)
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[44] L. Ma,S. Tong,H. Zheng, B. Bai, and X. Dai, “Edgewise Serial Message Passing Detection of Uplink SCMA Systems for Better User Fairness and Faster Convergence Rate,” IEEE Commun. Lett., vol. 8, no. 4, pp. 1285-1288, Aug. 2019.
[45] T. Xie, L. Dai, X. Gao, X. Dai, Y. Zhao, “Low-Complexity SSOR-Based precoding for massive MIMO systems,” IEEE Commun. Lett., vol. 20, no. 4, pp. 744-747, Apr. 2016.
[46] Z. Zhang, J. Wu, X. Ma, Y. Dong, Y. Wang, S. Chen, and X. Dai*, “Reviews of recent progress on low-complexity linear detection via iterative algorithms for massive MIMO systems” IEEE /CIC ICCC Workshops, 2016, pp. 1-6. (*Corresponding author)
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[48] 李华,郝诗雅,巩彩红,李倩倩,戴晓明*.面向 6G 的新型多址与波形技术[J].电信科 学,2022,38(10):36-45. (*Corresponding author)
[49] 董园园, 张钰婕, 李华, 王春雷, 刘晓菲, 戴晓明*. 面向5G的非正交多址接入技术[J]. 电信科学, 2019, 35 (07): 27-36. (*Corresponding author)
[50] 董园园, 巩彩红, 李华, 戴晓明*. 面向6G的非正交多址接入关键技术[J]. 移动通信, 2020, 44 (6): 57-62. (*Corresponding author)
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【科研项目】
华为技术有限公司“大规模天线与新型多址接入关键技术研究”,2018,主持。
中兴通讯股份有限公司“面向5G的基于稀疏编码矩阵的非正交多址研究”,2018,主持。
电信科学技术研究院“新型多址接入关键技术研究”,2017,主持。
北京小米移动软件有限公司“面向5G的关键技术研究”,2017,主持。
国家自然科学基金重点项目“时空一致性的无线接入架构与关键技术研究”,2016,参与。
国家自然科学面上项目“基于稀疏编码基础理论及关键技术研究”,