ERI:Interference-Aware Constellation Design

ERI：干扰感知星座设计

• 批准号: 2301778
• 负责人: Mojtaba Vaezi
• 金额: $ 19.62万
• 依托单位: Villanova University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2301778&HistoricalAwards=false
• 关键词: ERI; Interference; Aware; Constellation; Design

Wireless networks have seen an exponential increase in the number of users requiring access, making it impractical to allocate a dedicated spectrum to each user. To address this issue, non-orthogonal transmission has been proposed as a potential solution. By sharing spectrum among multiple users, more devices can access the spectrum or more bandwidth can be committed to each transceiver, achieving higher data transmission rates. However, non-orthogonal transmission suffers from interference among users, and effective transmission and decoding methods are needed for its successful deployment. The primary goal of this research is to develop such methods and advance the field, which has significant value for next-generation wireless networks and applications like the Internet of Things (IoT). In addition, the project will provide education opportunities, including involving undergraduate students in research on deep learning for communications and designing graduate-level course material. The findings of this research will be shared with both academic and industrial communities. This project aims to address inter-user interference by proposing a novel end-to-end learning-based digital modulation design. Digital modulation techniques are used to achieve a balance between high bit rates and low bit-error rates for information transmission. A particular focus of this research is on designing new superimposed constellations for non-orthogonal multiple access (NOMA) that take into account both noise and interference during the design phase. Unlike traditional constellations such as quadrature amplitude modulation, the proposed transform results in non-uniform constellations that can adapt to different interference levels and work effectively in their presence. This approach provides new insights and tools for multi-user constellation design, which has the potential to improve spectral efficiency, reduce bit-error rate, and decrease latency in communication for next-generation wireless networks.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

无线网络已经看到需要访问的用户数量的指数增加，这使得为每个用户分配专用范围是不切实际的。为了解决这个问题，已经提出了非正交传输作为潜在解决方案。通过在多个用户之间共享频谱，可以将更多设备访问频谱或更多的带宽，从而实现更高的数据传输速率。但是，非正交的传输受到用户之间干扰的影响，成功部署需要有效的传输和解码方法。 这项研究的主要目标是开发此类方法并推进该领域，该领域对于下一代无线网络和应用程序（例如物联网（IoT））具有重要价值。此外，该项目将提供教育机会，包括让本科生参与有关沟通和设计研究生级课程材料的研究。这项研究的发现将与学术和工业社区共享。该项目旨在通过提出一种新颖的基于端到端学习的数字调制设计来解决用户间干扰。数字调制技术用于在信息传输的高比特率和低比特率之间取得平衡。这项研究的一个特殊重点是设计新的叠加星座，以考虑在设计阶段考虑噪声和干扰的非正交多重访问（NOMA）。与传统星座（例如正交振幅调制）不同，所提出的转换导致不均匀的星座可以适应不同的干扰水平并在其存在下有效地工作。这种方法为多用户星座设计提供了新的见解和工具，该设计有可能提高光谱效率，降低比特率率，并减少下一代无线网络的通信延迟。该奖项反映了NSF的法定任务，并通过使用该基金会的智力优点和广泛的影响来评估CRITERIA CRITERIA CRITERIA。