Dalian University, Dalian, Liaoning, China
Badminton is a confrontational sport that hits the ball against each other across the net. It has the characteristics of high speed, strong strength, strong endurance, high sensitivity and good flexibility. With the continuous development of science and technology, 5G networks have also been applied to all walks of life. The statistics of technical characteristics and pace training of badminton in colleges and universities in the 5G environment have become the current research hotspot. It has theoretical basis and feasibility. Through the investigation and research method, this paper has found that pace training has an impact on badminton skills, and through effective pace training, the level of competition can be improved. The survey results have shown that the badminton competition level of boys in the experimental group based on pace training is on the rise, and the level of competition has increased by 7.4 on average. The pace training in the 5G environment has a significant impact on badminton technology.
Wireless Network, College Badminton, Technical Characteristics Statistics, Pace Training
Zhen Li. Impact of Technical Characteristics Statistics and Pace Training of Badminton in Colleges and Universities under the 5G Environment. International Journal of Sports Technology (2021), Vol. 2, Issue 4: 1-14. https://doi.org/10.38007/IJST.2021.020401.
 Xie R. Indoor air quality investigation of a badminton hall in humid season through objective and subjective approaches. Science of the Total Environment. (2021) 7(71): 145-390. https://doi.org/10.1016/j.scitotenv.2021.145390
 Fang L. Motion recognition technology of badminton players in sports video images. Future Generation Computer Systems. (2021) 14(9): 123-156. https://doi.org/10.1016/j.future.2021.05.036
 Yu K. Research on the Techniques and Tactics of the World's Top Badminton Men's Double Combinations Based on Computer Coding Technology. Journal of Physics Conference Series. (2021) 17(3): 032-248.
 Mc K. Training and injuries among world elite junior badminton players Identifying the problems. Asia-Pacific Journal of Sports Medicine. (2021) 26(2): 21-26. https://doi.org/10.1016/j.asmart.2021.07.003
 Ying L. Stochastic energy saving strategies using machine learning for badminton robots. Aggression and Violent Behavior. (2021) 12(6):101-615. https://doi.org/10.1016/j.avb.2021.101615
 Wang Y. Simulation of badminton sports injury prediction based on the internet of things and wireless sensors. Microprocessors and Microsystems. (2021) 81(1): 103-176. https://doi.org/10.1016/j.micpro.2020.103676
 Yu L. Analysis and Research on Badminton Spot Tactics Based on Computer Association Rules Mining. Journal of Physics Conference Series. (2020) 14(8): 032-065.
 Duong T. Load balancing routing under constraints of quality of transmission in mesh wireless network based on software defined networking. Journal of Communications and Networks. (2021) 23(1): 12-22. https://doi.org/10.23919/JCN.2021.000004
 Zhang Y. Salient object detection on hyperspectral images in wireless network using CNN and saliency optimization. Ad Hoc Networks. (2021) 112(8): 102-369. https://doi.org/10.1016/j.adhoc.2020.102369
 Zhang J. Research on Grid High Voltage Harmonic Detection Based on Ubiquitous Power Wireless Network. Journal of Physics: Conference Series. (2021) 18(2): 022-028.
 Sun Z. Performance Analysis of Wireless Network Aided by Discrete-Phase-Shifter IRS. arXiv e-prints. (2022) 15(2): 125-156.
 Dh C. Physical layer secrecy performance analysis of relay selection in a cooperative wireless network. Physical Communication. (2021) 5(52): 45-56.
 Swarna R N. 5G and Next Generation Wireless Network in Bangladesh: Trends, Opportunities, and Challenges. International Journal of Science and Business. (2022) 9(12): 132-156.
 Zhou R. A smarter algorithm in wireless network to optimize frequency allocation. Journal of Physics: Conference Series. (2021) 19(1): 012-034.
 Megala V. Solid state switching using wireless network in home automation. Materials Today: Proceedings, (2021) 3(45): 023-056.
 Zhang R. Beamforming Optimization for Wireless Network Aided by Intelligent Reflecting Surface With Discrete Phase Shifts. Transactions on Communications. (2020) 68(3): 1838-1851. https://doi.org/10.1109/TCOMM.2019.2958916
 Srinivasan B. Secrecy capacity against adaptive eavesdroppers in a random wireless network using friendly jammers and protected zone. Journal of Network and Computer Applications. (2020) 1(65): 102-698.
 Wiewiorski P. Energy Harvester Based on Magne to mechanical Effect as a Power Source for Multi-node Wireless Network. Chapters. (2020) 4(23): 45-86.
 Frb A. A survey and taxonomy of congestion control mechanisms in wireless network on chip - ScienceDirect. Journal of Systems Architecture. (2020) 6(12): 178-201.
 Qi L. A Novel Wireless Network Intrusion Detection Method Based on Adaptive Synthetic Sampling and an Improved Convolutional Neural Network. IEEE Access. (2020) 8(4): 191-195. https://doi.org/10.1109/ACCESS.2020.3034015