课题组以国家重大战略需求为导向，针对卫星广播通信融合、信息分发、宽带数据传输、高动态自组织网络等应用需求，从基础研究、技术攻关、样机研制等三个层次开展创新性工作，长期承担国家级项目。

研究方向包括：  高效调制编码、自适应传输、安全通信、抗干扰通信、无线通信系统设计与实现、动态自组网协议、网络优化算法、l机器学习/深度学习在通信与网络中的应用等。

学生毕业去向：通过课题组的培养，毕业学生受到信息行业各大企业欢迎，就业于华为、腾讯、字节、国家电网、中科院研究所、中电科/中船集团研究所、银行等。

[1]   联合基金、宽带高效调制技术，主持。

[2]   教育部联合基金、基于深度学习的复杂机电装备系统健康监测与管理，主持。

[3]   专用技术项目、大容量 MIMO传输技术。

[4]   国家自然科学基金重大研究计划重点项目、空地网络协同信息分发的传输模型与关键技术。

[5]   863计划、空天信息网络接入技术，主持。

[6]   重点项目、信道自适应编码调制、解调技术，主持。

[7]   国家自然科学基金重点项目、基于无线网络的应急搜救关键技术研究、主持。

[1]   R. Dong, F. Lu, Y. Dong and H. Yan, "TheNegative BER Loss Function for Deep Learning Decoders," in IEEECommunications Letters, vol. 26, no. 8, pp. 1824-1828, Aug. 2022, doi:10.1109/LCOMM.2022.3178959.

[2]   M. Hu, M. Xiao, W. Xu, T. Deng, Y. Dong and K.Peng, "Traffic Engineering for Software Defined LEO Constellations,"in IEEE Transactions on Networkand Service Management, 2022, doi: 10.1109/TNSM.2022.3186716.

[3]   W. Chen, F. Lu and Y. Dong, "AHomomorphism Transform Based Analysis of Sparse Random Linear Network CodingOver Erasure Channels," in IEEE Communications Letters, vol. 26,no. 9, pp. 2009-2013, Sept. 2022, doi: 10.1109/LCOMM.2022.3181722.

[4]   M. Hu, J. Li, C. Cai, T. Deng, W. Xu and Y.Dong, "Software Defined Multicast for Large-scale Multi-layer LEOSatellite Networks," in IEEE Transactions on Network and ServiceManagement, Feb 2022，doi:10.1109/TNSM.2022.3151552.

[5]   Y. Ju, F. Lu and Y. Dong, "Rate CompatibleGaussian Modulation," in IEEE Communications Letters, vol. 26,no. 4, pp. 833-837, April 2022, doi: 10.1109/LCOMM.2022.3146168.

[6]   W. Chen, F. Lu and Y. Dong, "ImprovedExpression for Rank Distribution of Sparse Random Linear Network Coding,"in IEEE Communications Letters, vol. 25, no. 5, pp. 1472-1476, May 2021.

[7]   F. Lu, Y. Dong and C. W. Chen, "LayeredDecoding Algorithm and Two-Level Quasi-Cyclic Matrix Construction for RateCompatible Modulation," IEEE Trans.Circuits Syst. I Reg. Papers, vol.66, pp. 3213 - 3226, Aug. 2019.

[8]   W. Chen, F. Lu and Y. Dong, "The RankDistribution of Sparse Random Linear Network Coding," IEEE Access, vol. 7, pp. 43806-43819, March, 2019.

[9]   X. Ma et al., "A Survey on DeepLearning Empowered IoT Applications," in IEEE Access, vol. 7, pp.181721-181732, 2019, doi: 10.1109/ACCESS.2019.2958962.

[10]         K. Peng, J.Du, F. Lu, Q. Sun, Y. Dong, "A Hybrid Genetic Algorithm on Routing andScheduling for Vehicle-Assisted Multi-Drone Parcel Delivery,"in IEEE Access, vol. 7, pp. 49191-49200, 2019.

[11]         K. Penget al., "A Hybrid Genetic Algorithm on Routing and Scheduling forVehicle-Assisted Multi-Drone Parcel Delivery," in IEEE Access, vol.7, pp. 49191-49200, 2019, doi: 10.1109/ACCESS.2019.2910134.

[12]         W. Rao,Y. Dong, S. Chen, F. Lu and S. Wang, "Low-complexity rate compatiblemodulation with hybrid weight set," in China Communications, vol. 16, no.11, pp. 93-106, Nov. 2019, doi: 10.23919/JCC.2019.11.008.

[13]         L. Wen,Y. Dong and L. Gao*, “A New Ensemble Residual Convolutional Neural Network forRemaining Useful Life Estimation”, MathematicalBiosciences and Engineering, 16(2): 862-880, 2019.

[14]         L. Wen,L. Gao, Y. Dong and Z. Zhu*, “A Negative Correlation Ensemble Transfer LearningMethod for Fault Diagnosis based on Convolutional Neural Network,” Mathematical Biosciences and Engineering,16(5):3311-3330, 2019.

[15]         F. Lu,Y. Dong, C. W. Chen, "Fully-parallel stochastic decoder for ratecompatible modulation", IEEE Trans.Circuits Syst. I Reg. Papers, vol. 65, no. 10, pp. 3555-3567, Oct. 2018.

[16]         F. Lu,Y. Dong, W. G. Rao, C. W. Chen, "Low complexity decoding algorithms forrate compatible modulation", IEEEAccess, vol. 6, pp. 31417-31429, 2018.

[17]         WenguiRao, Yan Dong*, Shaoping Chen, Fang Lu, and Shu Wang. Rate compatiblemodulation with variable weight sets. in IEEE Access, Vol 6，pp. 5064-5074, Dec. 2018.

[18]   Jiang, G., Shen, Y., Chen, J. Yan, D., Fang,L., “Wireless Network Egocentric network focused community aware multicastrouting for DTNs.” Wireless Netw(2018) 24: 1217.

[19]   Lu, Fang, Yan Dong, and Wengui Rao. "AParallel Belief Propagation Decoding Algorithm for Rate CompatibleModulation." IEEE Communications Letters,21(8):1735-1738, 2017.  

[20]   Zeng, Bing, Yan Dong*. "An improvedharmony search based energy-efficient routing algorithm for wireless sensornetworks." Applied Soft Computing,Q1 41 (2016):135-147. (2018年ESI 高被引)

[21]   Wang, Chen, Hongbo Jiang, and Yan Dong*."Connectivity-Based Space Filling Curve Construction Algorithms in HighGenus 3D Surface WSNs." ACM Transactions on SensorNetworks (TOSN) 12.3 (2016): 22.

[22]   D. Shan, K. Zeng, W. Xiang, P. Richardson andY. Dong, "PHY-CRAM: Physical Layer Challenge-Response AuthenticationMechanism for Wireless Networks," in IEEE Journal on Selected Areas inCommunications, vol. 31, no. 9, pp. 1817-1827, September 2013, doi:10.1109/JSAC.2013.130914.