China Communications Wu Jun, Yang Yaoqi, Yuan Weijie, Liu Wenchao, Wang Jiacheng, Mao Tianqi, Zhou Lin, Cui Yuanhao, Liu Fan, Sun Geng, Ma Yiyan, Wu Nan, Zheng Dezhi, Xu Jindan, Ma Nan
China Communications Submission - lcfsxzz China Communications (Chinacom) is looking for innovative technical papers and academic thesis pertinent to Information and Communications Technologies sectors (ICTs) Major columns include: communications theories and systems, signal processing, artificial intelligence, internet, security, emerging technology and applications Theoretical research papers and academic thesis presenting new
China Communications Editorial Board - lcfsxzz Lidong Zhu, University of Electronic Science and Technology of China (China) Yongxu Zhu, Southeast University (China) Liang Zhou, Nanjing University of Posts Telecommunications (China) Yiqing Zhou, Chinese Academy of Sciences (China) Yulong Zou, Nanjing University of Posts and Telecommunications (China) Pubdate: 2015-10-13 Viewed
China Communications Introduction - lcfsxzz China Communications (ISSN 1673-5447) is an English-language monthly journal cosponsored by the China Institute of Communications (CIC) and IEEE Communications Society (IEEE ComSoc) towards readers in industry, universities, research and development organizations and government agencies in the field of Information and Communications
China Communications Feature Topic Vol 23, No 2, 2026 Beyond Terrestrial Infrastructure: Meteor Burst Communications for Next-Generation Emergency Communication Networks
Communications in Urban Low-Altitude Drone Logistics . . . Communications system has a significant impact on both operational safety and logistical efficiency within low-altitude drone logistics networks Aiming at providing a systematic investigation of real-world communication requirements and challenges encountered in Meituan UAV's daily operations, this article first introduces the operational scenarios within current drone logistics networks and
When Communication Networks Meet Federated Learning for . . . With the rapid development of network technologies, a large number of deployed edge devices and information systems generate massive amounts of data which provide good support for the advancement of data-driven intelligent models However, these data often contain sensitive information of users Federated learning (FL), as a privacy preservation machine learning setting, allows users to obtain
China Communications Pan Tang, Jianhua Zhang, Haoyu Tian, Zhaowei Chang, Jun Men, Yuxiang Zhang, Lei Tian, Liang Xia, Qixing Wang, Jingsuo He
Search Result - lcfsxzz Integrated sensing and communication (I-SAC) has emerged as a promising technology to address the critical challenges of energy efficiency and spectrum sharing in joint communication and sensing systems Particularly in fifth-generation (5G) and beyond networks, the deployment of massive antenna arrays at base stations provides sufficient spatial degrees of freedom for the harmonious