边际，山东济南人，中共党员，毕业于山东大学信息与通信工程专业，获工学博士学位。2017 年获中国国家留学基金委公派联合培养资格，并于同年 10 月至 2018 年 10 月赴英国赫瑞瓦特大学（Heriot-Watt University）进行公派联合培养。现为山东师范大学信息科学与工程学院副教授、硕士生导师。曾担任 IEEE/CIC ICCC 2017、EAI MLICOM 2020 程序委员会委员（TPC Member），并担任 IEEE Transactions on Wireless Communications、IEEE Transactions on Vehicular Technology、IEEE Communications Surveys & Tutorials 等国际期刊及 IEEE ICC、IEEE/CIC ICCC、IEEE GLOBECOM 等国际学术会议的审稿人。近年来，主持国家自然科学基金青年基金 1 项、山东省自然科学基金青年基金 1 项，参与多项国家自然科学基金面上项目。在无线通信领域顶级期刊 IEEE Communications Surveys & Tutorials、IEEE Transactions on Wireless Communications、IEEE Journal on Selected Areas in Communications、IEEE Transactions on Vehicular Technology、IEEE Communications Letters，以及国际通信领域旗舰会议 IEEE ICC、IEEE/CIC ICCC 等发表论文多篇。
招生方向：
硕士招生专业：信息与通信工程（学术型）、电子信息（通信工程专业型），欢迎有志于从事学术研究的同学加入我的团队。我们将提供参加国内外学术会议、到国内外知名研究机构交流访问等多种机会。
Email: jibian@sdnu.edu.cn
QQ: 717854164
地址：山东师范大学长清湖校区文淙楼1-302
研究方向：
面向6G的典型场景信道建模；智能反射表面（IRS）通信技术；通信感知一体化技术；基于人工智能的通信信号处理、信道预测、场景识别与资源优化。
实验室已建成较为完善的软硬件测试与仿真平台，拥有通用软件无线电平台（USRP）、多旋翼无人机、多类型全向/定向天线、功率放大器等实验设备，配备高性能工作站以及 Wireless Insite、WinProp等专业仿真平台。同时，实验室已搭建一套空-地信道探测平台，可用于多场景、多频段的信道测量与建模研究。
出版专著：
[1] J. Bian and C.-X. Wang, Vehicle-to-Vehicle Channels. In Wiley 5G Ref, John Wiley & Sons, Jan. 2021.
发表论文：
[1] J. Bian, C.-X. Wang, R. Feng, Y. Liu, W. Zhou, F. Lai, and X. Q. Gao, “A novel 3D beam domain channel model for massive MIMO communication systems,” IEEE Transactions on Wireless Communications, vol. 22, no. 3, pp. 1618–1632, Mar. 2023.
[2] J. Bian, J. Sun, C.-X. Wang, R. Feng, J. Huang, Y. Yang, and M. Zhang, “A WINNER+ based 3D non-stationary wideband MIMO channel model,” IEEE Transactions on Wireless Communications, vol. 17, no. 3, pp. 1755–1767, Mar. 2018.
[3] J. Bian, C.-X. Wang, J. Huang, Y. Liu, J. Sun, M. Zhang, and H. Aggoune, “A 3D wideband non-stationary multi-mobility model for vehicle-to-vehicle MIMO channels,” IEEE Access, vol. 7, pp. 32562–32577, Mar. 2019.
[4] Q. Zhu, W. Li, C.-X. Wang, D. Xu, and J. Bian, “Temporal correlations for a non-stationary vehicle-to-vehicle channel model allowing velocity variations,” IEEE Communications Letters, vol. 23, no. 7, pp. 1280–1284, July 2019.
[5] C.-X. Wang, J. Bian, J. Sun, W. Zhang, and M. Zhang, “A survey of 5G channel measurements and models,” IEEE Communications Surveys & Tutorials, vol. 20, no. 4, pp. 3142–3168, 4th Quart. 2018.
[6] J. Bian, C.-X. Wang, X. Gao, X. You, and M. Zhang, “A general 3D non-stationary wireless channel model for 5G and beyond,” IEEE Transactions on Wireless Communications, vol. 20, no. 5, pp. 3211–3224, May 2021.
[7] H. Chang, J. Bian, C.-X. Wang, Z. Bai, W. Zhou, and H. Aggoune, “A 3D non-stationary wideband GBSM for low-altitude UAV-to-ground V2V MIMO channels,” IEEE Access, vol. 7, pp. 70719–70732, 2019.
[8] Z. Zhang, Y. Liu, C.-X. Wang, H. Chang, J. Bian, and J. Zhang, “Machine learning-based clustering and modeling for 6G UAV-to-ground communication channels,” IEEE Transactions on Vehicular Technology, vol. 73, no. 10, pp. 14113–14126, Oct. 2024.
[9] J. Bian, C.-X. Wang, Y. Liu, J. Tian, J. Qiao, and X. Zheng, “3D non-stationary wideband UAV-to-ground MIMO channel models based on aeronautic random mobility model,” IEEE Transactions on Vehicular Technology, vol. 70, no. 11, pp. 11154–11168, Nov. 2021.
[10] H. Chang, C.-X. Wang, J. Bian, R. Feng, Y. He, Y. Chen, and H. Aggoune, “A novel 3D beam domain channel model for UAV massive MIMO communications,” IEEE Transactions on Wireless Communications, vol. 22, no. 8, pp. 5431–5445, Aug. 2023.
[11] Y. Liu, C.-X. Wang, H. Chang, Y. He, and J. Bian, “A novel non-stationary 6G UAV channel model for maritime communications,” IEEE Journal on Selected Areas in Communications, vol. 39, no. 10, pp. 2992–3005, Oct. 2021.
[12] W. Qi, J. Bian, Z. Wang, and W. Liu, “A novel UAV air-to-air channel model incorporating the effect of UAV vibrations and diffuse scattering,” Drones, vol. 8, no. 5, pp. 1–22, May 2024.
[13] X. Wu, J. Bian, Z. Wang, X. Zheng, J. Tian, and J. Qiao, “Three-dimensional wideband mmWave multiple-input multiple-output channel model for aerial reconfigurable intelligent surface-assisted communication systems,” International Journal of Communication Systems, vol. 37, no. 6, pp. 1–19, Dec. 2024.
[14] Z. Wang, J. Bian, C.-X. Wang, Y. Liu, and J. Tian, “Aerial reconfigurable intelligent surface-assisted channel modeling incorporating the effect of UAV fluctuations,” IEEE Communications Letters, vol. 28, no. 7, pp. 1599–1603, Jul. 2024.
[15] Z. Wang, J. Bian, C.-X. Wang, Y. Liu, Q. Zhu, K. Mao, “A novel aerial reconfigurable intelligent surface-assisted channel model incorporating the environmental effects”, IEEE Transactions on Vehicular Technology, submitted for publication.
[16] X. Li, Y. Liu, X. Zhang, Y. Zhang, J. Huang, and J. Bian, “Characteristics analysis and modeling of integrated sensing and communication channel for unmanned aerial vehicle communications,” Drones, vol. 8, no. 538, pp. 1-16, Oct. 2024.
[17] Z. Xin, Y. Liu, J. Xing, J. Huang, J. Bian and Y. Zhang, “A novel multimodal fusion sensing-based channel prediction method for UAV communications,” IEEE Internet of Things Journal, vol. 12, no. 4, pp. 3948-3960, Feb. 2025.
[18] S. Liu, J. Tian, X. Deng, and J. Bian, “Stackelberg game-based task offloading in vehicular edge computing networks,” International Journal of Communication Systems, vol. 34, no. 16, pp. e4947, Aug. 2021.
[19] J. Qiao, C. Zhang, A. Dong, J. Bian, and M.-S. Alouini, “Securing intelligent reflecting surface-assisted terahertz systems,” IEEE Transactions on Vehicular Technology, vol. 71, no. 8, pp. 8519–8533, Aug. 2022.
[20] X. Xiao, X. Zheng, J. Bian, C. Ji, and X. Cui, “A dynamic and resource sharing virtual network mapping algorithm,” Digital Communications and Networks, vol. 9, no. 5, pp. 1101-1112.
[21] F. Zheng, B. Hu, X. Zheng, C. Ji, J. Bian, and X. Yu, “Dynamic differential entropy and brain connectivity features based EEG emotion recognition,” International Journal of Intelligent Systems, vol. 37, no. 12, pp. 12511-12533.
[22] Y. Gong, J. Tian, X. Li, Q. Liu, T. Li, and J. Bian, “Stackelberg game-based task offloading in mobile edge computing-enabled hierarchical multi-coalition unmanned aerial vehicle networks,” International Journal of Communication Systems, vol. 34, no. 16, pp. e5674, Aug. 2023.
[23] M. Zhou, J. Tian, D. Li, T. Li, J. Bian, “Collaborative service caching for delay minimization in vehicular edge computing networks,” Vehicular Communications, vol. 52, no. C, pp. 2214-2096, Apr. 2025.
[24] S. Zhou, Y. Liu, R. Wang, Z. Li, Z. Xin, J. Huang, and J. Bian, “A multimodal predictive channel model based on dual-camera images for IIoT communications,” IEEE Internet of Things Journal, vol. 12, no. 12, pp. 20530-20543, Jun. 2025.
[25] X. Zhang, Y. Liu, S. Zhou, J. Bian, J. Huang, X. Li, and Z. Xin, “GAN-based channel generation and modeling for 6G intelligent IIoT communications,” IEEE Internet of Things Journal, vol. 12, no. 14, pp. 26472-26485, 15 Jul. 2025.
[26] W. Shi, X. Zheng, L. Zhang, C. Ji, Y. Zhang, and J. Bian, "Multi-object tracking based on optimal transport and coordinate attention mechanism," Signal Process, vol. 236, no. C, p. 110058, Aug. 2025.
[27] B. Huang, Z. Xin, F. Yang, Y. Zhang, Y. Liu, J. Huang, and J. Bian, "Transformer-based air-to-ground mmWave channel characteristics prediction for 6G UAV communications," Sensors, vol. 25, no. 12, p. 3731, Jun. 2025.
[28] Y. Zhang, Y. Liu, X. Li, H. Chang, J. Huang, J. Bian, and C. Wang, “A novel space-time-frequency non-stationary UAV-to-USV channel model for mmWave maritime communications”, IEEE Wireless Communications Letters, in press.
[29] Y. Zhang, Y. Liu, X. Li, H. Chang, J. Huang, J. Bian, and Z. Xin, "A novel non-stationary UAV-to-multi-USVs channel model for maritime communications”, IEEE Internet of Things Journal, in press.
[30] J. Bian, C.-X. Wang, M. Zhang, X. Ge, and X. Gao, “A 3-D non-stationary wideband MIMO channel model allowing for velocity variations of the mobile station,” in Proc. IEEE ICC, Paris, France, May 2017.
[31] J. Bian, C.-X. Wang, J. Sun, W. Zhang, and M. Zhang, “A non-stationary MIMO channel model for street corner scenarios considering velocity variations of the mobile station and scatterers,” in Proc. IEEE/CIC ICCC, Qingdao, China, Oct. 2017.
[32] H. Chang, J. Bian, J. Sun, W. Zhang, and C.-X. Wang, “A novel channel model for molecular communications based on inter-cellular calcium wave,” invited paper, in Proc. WiCON, Tianjin, China, Dec. 2017.
[33] H. Chang, J. Bian, C.-X. Wang, Z. Bai, J. Sun, and X. Gao, “A 3D wideband geometry-based stochastic model for UAV air-to-ground channels,” in Proc. IEEE GlobeCom, Abu Dhabi, UAE, Dec. 2018.
[34] D. Wang, Q. Liu, J. Tian, Y. Zhi, J. Qiao, and J. Bian, “Deep Reinforcement Learning for Caching in D2D-Enabled UAV-Relaying Networks,” in Proc. IEEE ICCC, Jul. 2021, pp. 635-640, doi: 10.1109/ICCC52777.2021.9580299.
[35] S. Zhang, B. Hu, J. Bian, M. Zhang and X. Zheng, “A novel emotion recognition method incorporating MST-based brain network and FVMD-GAMPE," in Proc. IEEE BIBM’21, Houston, TX, USA, 2021, pp. 1153-1158.
[36] X. Zhang, Z. Zhang, Y. Zhang, Y. Liu, J. Bian, and R. He, “Ray-tracing based multi-path clustering and channel tracking for 6G UAV communications,” in Proc. IEEE iWRF&AT’24, Shenzhen, China, 2024, pp. 254-258.
[37] F. Cheng, J. Tian, Y. Dai, M. Zhou, T. Li, and J. Bian, “Dynamic contract-based resource sharing incentive method for vehicular edge computing-assisted IoT networks,” in Proc. IEEE ICCT’23, Wuxi, China, 2023, pp. 758-763.
[38] H. Lv, J. Bian, C.-X. Wang, X. Zheng, J. Tian and Y. Liu, “Multi-scenario channel parameter generation with transformer-based conditional generative adversarial network,” in Proc. IEEE/CIC ICCC’24, Hangzhou, China, 2024 pp. 7-12.
[39] Y. Li, J. Tian, Q. Liu, Y. Gong, and J. Bian., “Multi-agent reinforcement learning-based resource allocation for minimizing age of synchronization in vehicular networks,” in Proc. ICCMS’23, New York, USA, 2023 pp. 197–202.
申请专利：
[1] 边际，丛赟平，张宝政，田瑞琪，田杰，乔静萍，一种无人机对地面场景的非平稳信道仿真方法及系统，CN112865897B, 2022.08.02，授权；
[2] 边际、吴小娜、陈美慧，熊露露，王丽，邓馨悦，空中 IRS 辅助的车对车通信信道仿真方法及系统，CN116032401B， 2025.08.19，授权；
[3] 边际，侯圣晗，代伟健，姜凯，田杰，乔静萍，一种基于无线信道的人体动作识别方法及系统，CN 115130527B, 2025.08.01，授权;
[4] 田杰，支媛，边际，乔静萍，一种异构蜂窝网络D2D通信资源分配方法及系统，CN110769514B, 2023.05.12，授权;
[5] 田杰, 刘爽, 支媛, 边际, 陆佃杰，车辆边缘计算网络中的任务卸载方法及系统，CN112015545B, 2023.01.20，授权;
[6] 边际，王自立，吕豪正，周奇，郑向伟，田杰，一种空中智能反射面的信道建模及相位设计方法及系统, CN119341671B，2025.03.14，授权;
[7] 乔静萍, 张传亭, 李凯强, 田杰, 李腆腆, 李承浩, 边际, 基于卷积-注意力机制与多包推理的射频指纹识别方法及系统, CN120337998A, 2025.07.18，实审;
[8] 田杰, 孙明泉, 魏冬梅, 蒋晓娜, 黄辰煦, 李腆腆, 边际, 乔静萍, 数字孪生辅助的车辆任务卸载与计算资源分配优化方法, CN120111575B, 2025.06.06，授权;
[9] 郑向伟, 董文敏, 张宇昂, 边际, 嵇存, 史文娟, 张利峰, 基于伪异常重构的视频异常检测方法、系统、介质及设备, CN119495043A, 2025.02.21，实审;
[10] 郑向伟, 史文娟, 嵇存, 张宇昂, 边际, 张利峰, 基于最优传输算法和注意力机制的多目标跟踪方法及系统, CN119295780A, 2025.01.10，实审;
[11] 田杰, 蒋晓娜, 黄辰煦, 李腆腆, 边际, 一种基于聚簇和计算卸载的车辆联邦学习方法及系统, CN118714537B, 2024.09.27，授权;
[12] 边际，吕豪正，周奇，王自立，郑向伟，田杰，基于自注意力与对抗网络的多场景信道建模方法及系统, CN118713778A，2024.09.27，实审;
[13] 郑向伟, 董文敏, 嵇存, 张宇昂, 边际, 张利峰, 史文娟, 一种基于重构的视频异常检测方法、系统、介质及设备, CN118675084A, 2024.09.20，实审;
[14] 边际, 王俊程, 田杰, 郑向伟, 王跃, 一种面向无人机通信场景的空对空信道建模方法及系统, CN118174808A, 2024.06.11，实审;
[15] 张新常, 边际, 朱效民, 延志伟, 耿光刚, 刘庆良, 一种用于远程控制的交换机状态监控方法及系统, CN118018447B, 2024.09.10，授权;
[16] 边际, 王自立, 吴小娜, 田杰, 乔静萍, 郑向伟, 一种机载智能反射面辅助的信道建模方法及系统, CN116684020A, 2023.09.19，实审;
[17] 田杰, 李英豪, 龚亚梅, 刘庆德, 李腆腆, 边际, 陆佃杰, 一种车联网中最小化同步信息年龄的方法、设备及介质, CN115866565A, 2023.03.28，实审;
[18] 张明哲, 乔晓艺, 郑向伟, 于晓梅, 张宇昂, 边际, 基于多视觉特征融合的学习状态监测方法及系统, CN115937928A, 2023.04.07，实审;
[19] 乔静萍, 王艳萍, 钱丙会, 董鑫涛, 田杰, 李腆腆, 边际, 一种智能反射面辅助的信息安全传输方法及系统, CN114900219A, 2022.08.12，实审;
[20] 郑向伟, 宗庆, 陈宣池, 张利峰, 边际, 魏艺, 基于深度确定性策略的云资源自适应配置方法及系统, CN113641445B, 2024.03.26，授权;
[21] 王政, 乔静萍, 田杰，边际，一种无线供能全双工中继协作的保密传输方法及系统，CN111356130B，2023.04.07，授权；
承担/参与项目：
[1] 国家自然科学基金（62101311），2022.01-2024.12，主持；
[2] 山东省自然科学基金（ZR2020QF001），2021.01-2023.12，主持；
[3] 国家自然科学基金面上项目（62271295），2023.01-2026.12，参与
[4] 国家自然科学基金（62172264），2022.01-2025.12，参与；
[5] 国家自然科学基金，(61771293)，2017.08-2021.12，参与；
[6] 北京信威通信技术股份有限公司，(11170011131701)，2017.01-2018.12，参与；
[7] 国家重大专项子课题，(11131511)，2015.08-2016.12，参与。
获奖情况
[1] 山东省自然科学奖, 山东省科学技术厅, 部级奖励, 省部二等奖, 2025.4, 3/4;
[2] ACM优秀博士论文奖, 国际计算机学会(Association for Computing Machinery; ACM), 2020.7, 1/1
