High Performance Receiver Designs in Non-Orthogonal Multiple Access Networks for New Generations of Wireless Services

用于新一代无线服务的非正交多址网络中的高性能接收机设计

• 批准号: 1711823
• 负责人: Zhi Ding
• 金额: $ 33万
• 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: 2017
• 资助国家: 美国
• 起止时间: 2017-08-01 至 2022-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1711823&HistoricalAwards=false
• 关键词: Performance; Receiver; Designs; Non; Orthogonal

This research project addresses some critical and emerging challenges in future generations of wireless communication networks to serve the need of the widespread Internet of Things (IoT) applications. Unlike existing cellular networks, IoT applications are expected to connect a massive number of smart IoT devices under severe bandwidth constraint. This massive scale and need of IoT wireless devices, along with many other rising wireless applications such as vehicular to everything (V2X) strongly motivates highly effective utilization of network capacity. To substantially expand network capacity, non-orthogonal multiple access (NOMA) is a cutting-edge technology that integrates the concepts of superposition coding at transmitter and successive interference cancelation (SIC) at receiver, respectively. NOMA has attracted much attention for its high spectral efficiency. However, the NOMA throughput gain comes at the price of having to overcome substantial co-channel interferences (CCI) among wireless network nodes. Despite the widespread and idealized receiver assumption of perfect interference cancellation, practical success of NOMA receivers depends critically on the successful detection and decoding of signals in the presence of substantial CCI. This research project aims to develop highly effective and practical joint detection and decoding receivers to deliver the much needed network performance for successful deployment of NOMA in future 5G and IoT wireless services. Specifically, the project develops optimized design of joint detection and error correction receivers by leveraging the knowledge of user forward error correction codes to substantially improve receiver performance against CCI under channel uncertainties. The research findings can contribute importantly to the service improvement of high speed wireless networks and to broadening their applications in many practical fields where quality, efficiency, and service decentralization are paramount. The success of the project can lead to new system designs, new tools, and results that can impact other science and engineering fields. The technical focus of this project is to develop a new receiver design methodology that unifies signal detection and forward error correction in multiple-input-multiple-output (MIMO) wireless communications and diversity networks against poor wireless channel conditions. Unlike traditional approaches, this new investigation into the rather classic but open problem centers on novel optimization formulations that can incorporate Galois field codeword constraints imposed by the forward error correction (FEC) codes within the maximum likelihood detection principle for unified receiver optimization. This novel framework is general and encompasses many wireless models, including distributed MIMO, opportunistic cooperative networking, and retransmission diversities as well as their integrations. This innovative direction emphasizes critical integration of multiple constraints from incompatible fields through effective constraint relaxation and novel objective function formulation. Reformulating the optimization of joint detection and decoding problems into convex optimization, the proposed approach to receiver design integration represents a fundamental and practical design paradigm that can fully leverage various practical signaling and code constraints for joint detection and decoding against channel and other non-idealities to achieve high performance, efficiency, and reliability. To confront practical challenges of channel estimation errors and fast channel fading in wireless networks, the project team shall develop fast, effective, reliable, and robust algorithms for coded MIMO transmissions under strong co-channel interferences subject to different practical limitations and network configurations, with respect to complexity and performance tradeoffs. The research findings are expected to have significant broader impact on a wide range of wireless applications including high speed cellular, IoT, and V2X services.

该研究项目解决了未来几代无线通信网络中的一些关键和新兴挑战，以满足广泛的物联网（IoT）应用的需求。 与现有的蜂窝网络不同，物联网应用预计将在严重的带宽限制下连接大量智能物联网设备。物联网无线设备的巨大规模和需求，沿着许多其他新兴的无线应用，如车联网（V2X），强烈推动了网络容量的高效利用。 非正交多址接入（NOMA）是一种融合了发射端叠加编码和接收端连续干扰消除（SIC）概念的前沿技术，能够大幅扩展网络容量。 NOMA以其高频谱效率而备受关注。 然而，NOMA吞吐量增益的代价是必须克服无线网络节点之间的实质性同信道干扰（CCI）。尽管完美干扰消除的广泛和理想化的接收机假设，NOMA接收机的实际成功关键取决于在存在大量CCI的情况下信号的成功检测和解码。该研究项目旨在开发高效实用的联合检测和解码接收器，以提供在未来5G和物联网无线服务中成功部署NOMA所需的网络性能。 具体而言，该项目开发联合检测和纠错接收机的优化设计，利用用户前向纠错码的知识，以大大提高接收机的性能，对CCI信道不确定性。研究结果可以作出重要贡献的高速无线网络的服务改进，并扩大其应用在许多实际领域的质量，效率和服务分散是至关重要的。该项目的成功可能会导致新的系统设计，新的工具和结果，可以影响其他科学和工程领域。该项目的技术重点是开发一种新的接收机设计方法，该方法将多输入多输出（MIMO）无线通信和分集网络中的信号检测和前向纠错统一起来，以应对恶劣的无线信道条件。与传统的方法不同，这一新的调查，而经典的，但开放的问题的中心，新的优化配方，可以将伽罗瓦域码字的约束所施加的前向纠错（FEC）码内的最大似然检测原则统一接收机优化。这种新的框架是通用的，并涵盖了许多无线模型，包括分布式MIMO，机会合作网络，重传分集以及它们的集成。 这一创新方向强调通过有效的约束松弛和新的目标函数制定从不相容领域的多个约束的关键集成。 将联合检测和解码问题的优化转化为凸优化，所提出的接收机设计集成方法代表了一种基本的和实用的设计范例，该设计范例可以充分利用各种实际的信令和代码约束来针对信道和其他非理想性进行联合检测和解码，以实现高性能、效率和可靠性。 为了应对无线网络中信道估计误差和快速信道衰落的实际挑战，项目团队将开发快速，有效，可靠和鲁棒的算法，用于强同信道干扰下的编码MIMO传输，这些算法受到不同的实际限制和网络配置，在复杂性和性能权衡方面。研究结果预计将对包括高速蜂窝、物联网和V2X服务在内的各种无线应用产生更广泛的影响。

项目成果

Data Shuffling in Wireless Distributed Computing via Low-Rank Optimization

• DOI: 10.1109/tsp.2019.2912139
• 发表时间: 2018-09
• 期刊: IEEE Transactions on Signal Processing
• 影响因子: 5.4
• 作者: Kai Yang;Yuanming Shi;Z. Ding

On Non-Intrusive Coexistence of eLAA and Legacy WiFi Networks

• DOI: 10.1109/icc.2019.8761765
• 发表时间: 2019-05
• 期刊: ICC 2019 - 2019 IEEE International Conference on Communications (ICC)
• 作者: Qimei Chen;Z. Ding

Wirtinger Flow Meets Constant Modulus Algorithm: Revisiting Signal Recovery for Grant-Free Access

Wirtinger Flow 与恒模算法的结合：重新审视信号恢复以实现无授权访问

• DOI: 10.1109/tsp.2021.3103038
• 发表时间: 2021
• 期刊: IEEE Transactions on Signal Processing
• 影响因子: 5.4
• 作者: Feres, Carlos;Ding, Zhi
• 通讯作者: Ding, Zhi

Joint Detection and Decoding of Polar Coded 5G Control Channels

• DOI: 10.1109/twc.2019.2962113
• 发表时间: 2020-03-01
• 期刊: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
• 影响因子: 10.4
• 作者: Jalali, Amin;Ding, Zhi
• 通讯作者: Ding, Zhi

A Survey on MIMO Transmission With Finite Input Signals: Technical Challenges, Advances, and Future Trends

有限输入信号的 MIMO 传输调查：技术挑战、进展和未来趋势

• DOI: 10.1109/jproc.2018.2848363
• 发表时间: 2017-04
• 期刊: Proceedings of IEEE
• 作者: Yongpeng Wu;Chengshan Xiao;Zhi Ding;Xiqi Gao;Shi Jin
• 通讯作者: Shi Jin