Cooperative Wireless Networking for Secure and Optimized Transmission of Non-Gaussian Source Signals

用于非高斯源信号安全和优化传输的协作无线网络

• 批准号: 1307820
• 负责人: Zhi Ding
• 金额: $ 30万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1307820&HistoricalAwards=false
• 关键词: Cooperative; Wireless; Networking; Secure; Optimized

Objective:The objective of this project is to develop integrated design and optimization of wireless cooperative networks for practical source signals. Unlike traditional approaches based on idealized Gaussian input assumption, this project takes into full account the practical constraint of finite-alphabet input signals and data security consideration against eavesdropping. The fundamental nature of this study should lead to new discoveries in wireless networking, optimization, and PHY layer security. Technical Merit:The technical merit lies the development and optimization of novel integrated transmission precoders and receivers for various wireless multi-antenna configurations including cooperative and wiretap channels by focusing on practical input signals from finite alphabet sources. This investigation emphasizes effective design integration and joint optimization of these wireless configurations such as cooperative multi-antennas, multi-user cooperative systems, and packet retransmission diversity schemes. The project?s novel approach to wireless system design integration represents a fundamental and practical design paradigm shift that truly transcends both physical and data link layers to achieve high spectral efficiency, reliability, and secrecy. Important technical contributions include investigation of centralized and distributed cooperative transceiver optimization and relevant open problems under non-Gaussian discrete input signals and passive eavesdropping, under incomplete or uncertain channel state information. Broader Impacts:The project's broad impacts include new research directions, new tools, and results that can influence research and development in other science and engineering fields. The research findings would impact the quality of future wireless services and broaden their applications in practical environment where quality of service, spectral efficiency, and confidentiality concerns are paramount.

目标：该项目的目标是为实际源信号开发无线协作网络的集成设计和优化。与传统的基于理想高斯输入假设的方法不同，该项目充分考虑了有限字母输入信号的实际约束和防止窃听的数据安全考虑。这项研究的基本性质将导致无线网络、优化和物理层安全方面的新发现。技术优势：技术优势在于通过关注有限字母源的实际输入信号，为各种无线多天线配置（包括合作和窃听信道）开发和优化新型集成传输预编码器和接收器。本研究强调有效的设计整合和联合优化这些无线配置，如合作多天线、多用户合作系统和分组重传分集方案。这个项目吗?无线系统设计集成的新方法代表了一种基本和实用的设计范式转变，它真正超越了物理层和数据链路层，以实现高频谱效率、可靠性和保密性。重要的技术贡献包括研究非高斯离散输入信号和无源窃听、不完全或不确定信道状态信息下的集中式和分布式协同收发器优化及相关开放问题。更广泛的影响：该项目的广泛影响包括新的研究方向、新的工具和可以影响其他科学和工程领域的研究和开发的结果。研究结果将影响未来无线服务的质量，并扩大其在实际环境中的应用，在实际环境中，服务质量、频谱效率和保密问题是至关重要的。

项目成果

Low Complexity Node Clustering in Cloud-RAN for Service Provisioning and Resource Allocation

• DOI: 10.1109/glocom.2017.8254979
• 发表时间: 2017-12
• 期刊: GLOBECOM 2017 - 2017 IEEE Global Communications Conference
• 作者: Haining Wang;Priyesh Y. Shetty;Z. Ding