ZTE Communications: Wireless Communication and Its Security - Challenges and Solutions

December 2022, Vol. 20 No. 4

Editorial

Guest Editors: Ren Kui, Wang Zhibo

This editorial introduces the special issue, highlighting the rapid advancements in wireless technologies and the critical need to address security challenges, particularly with the advent of 5G and the development of 6G.

Special Topics

Security in Edge Blockchains: Attacks and Countermeasures

Authors: Cao Yinfeng, Cao Jiannong, Wang Yuqin, Wang Kaile, Liu Xun

This paper provides a comprehensive survey of attacks and countermeasures for edge blockchains, detailing their three-layer architecture and identifying specific vulnerabilities.

Utility-Improved Key-Value Data Collection with Local Differential Privacy for Mobile Devices

Authors: Tong Ze, Deng Bowen, Zheng Lele, Zhang Tao

Proposes a framework to enhance data utility in key-value data collection from mobile devices using local differential privacy, by differentiating between sensitive and non-sensitive data.

Key Intrinsic Security Technologies in 6G Networks

Authors: Lu Haitao, Yan Xincheng, Zhou Qiang, Dai Jiulong, Li Rui

Analyzes key intrinsic security technologies for 6G networks, including massive connection security, physical-layer security, blockchain, and AI security, with a focus on business-oriented applications.

Air-Ground Integrated Low-Energy Federated Learning for Secure 6G Communications

Authors: Wang Pengfei, Song Wei, Sun Geng, Wei Zongzheng, Zhang Qiang

Presents an air-ground integrated low-energy federated learning framework for 6G, utilizing UAVs and base stations to optimize energy consumption while maintaining FL model accuracy.

Physical Layer Security for MmWave Communications: Challenges and Solutions

Authors: He Miao, Li Xiangman, Ni Jianbing

Discusses the theoretical foundations, challenges, and solutions related to physical layer security in mmWave communications.

Autonomous Network Technology Innovation in Digital and Intelligent Era

Authors: Duan Xiangyang, Kang Honghui, Zhang Jianjian

Explores autonomous network technology, AI-native solutions, and innovative technologies proposed by ZTE Corporation for digital and intelligent networks.

Research Papers

Broadband Sequential Load-Modulated Balanced Amplifier Using Coupler-PA Co-Design Approach

Authors: Ran Xiongbo, Dai Zhijiang, Zhong Kang, Pang Jingzhou, Li Mingyu

Details a co-designed method for a broadband amplifier using a coupler and power amplifier.

Distributed Multi-Cell Multi-User MISO Downlink Beamforming via Deep Reinforcement Learning

Authors: Jia Haonan, He Zhenqing, Tan Wanlong, Rui Hua, Lin Wei

Presents a distributed deep reinforcement learning approach for multi-cell multi-user beamforming.

Predictive Scheme for Mixed Transmission in Time-Sensitive Networking

Authors: Li Zonghui, Yang Siqi, Yu Jinghai, He Fei, Shi Qingjiang

Proposes a predictive scheme for mixed transmission in time-sensitive networking to reduce bandwidth loss.

Label Enhancement for Scene Text Detection

Authors: Mei Junjun, Guan Tao, Tong Junwen

Introduces a label enhancement method for segmentation-based scene text detection.

A Content-Aware Bitrate Selection Method Using Multi-Step Prediction for 360-Degree Video Streaming

Authors: Gao Nianzhen, Yu Yifang, Hua Xinhai, Feng Fangzheng, Jiang Tao

Proposes a content-aware bitrate selection method for 360-degree video streaming to optimize bandwidth usage.

A Unified Deep Learning Method for CSI Feedback in Massive MIMO Systems

Authors: Gao Zhengguang, Li Lun, Wu Hao, Tu Xuezhen, Han Bingtao

Presents a unified deep learning method for channel state information (CSI) feedback in massive MIMO systems.

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