Collaborative Research: SWIFT: Small: Cross-Layer Interference Management: Bringing Interference Alignment to Reality

合作研究：SWIFT：小型：跨层干扰管理：将干扰调整变为现实

• 批准号: 2030245
• 负责人: Dinesh Bharadia
• 金额: $ 24.98万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2030245&HistoricalAwards=false
• 关键词: Collaborative; Research; SWIFT; Small; Cross

The demand for wireless data traffic along with the scale of users grows exponentially, while the current approach to meet such scaling is to avoid interference. Unfortunately, interference avoidance techniques cannot accommodate these scaling needs. To support large-scale deployments, there is a need to enable multiple users to share the same spectrum. In other words, the interference must be mitigated and exploited rather than avoided. However, prior theoretical efforts have resulted in minimal gains in practice. This project bridges the gap between theory and practice. The PIs will jointly design and develop antennas and algorithms in PHY and MAC layers potentially enabling orders of magnitude more spectrum-efficient communications. The designed solutions would enable connectivity to all classes of devices, autonomous driving, health-care, and IoT, and will facilitate the connectivity cheaper for all segments of society. The project will result in training graduate students and fosters interdisciplinary research. The proposed activities are designed to engage students from all backgrounds focusing on those from underrepresented groups.The proposal focuses on developing Interference Alignment (IA) techniques that work at the finite Signal-to-Noise (SNR) regime. The proposal has two thrusts - one focused on the uplink and another focused on the downlink. The PIs plan to use quasi-randomly oriented antenna elements to accomplish the desired objectives. (1) Present new transmit and receive antenna hardware structures at base-stations to create favorable environments for interference management; (2) Develop new physical-layer algorithms that exploit the characteristics of the proposed antennas and increase by order(s) of magnitude the number of users sharing the same frequency slot, without needing channel information at the transmitter; (3) Develop PHY-layer algorithms and MAC-layer protocols to exploit the proposed antenna designs to enable interference alignment for a large number of users; (4) Develop novel algorithms that enable deploying the proposed research easily on existing next-generation cellular (5G) and WiFi (WiFi-6) protocols; (5) Evaluate the proposed techniques through simulations and real-world experiments with hardware and software implementation.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.

对无线数据流量以及用户规模的需求呈指数增长，而当前满足这种缩放的方法是避免干扰。不幸的是，干扰避免技术无法满足这些扩展需求。为了支持大规模部署，有必要使多个用户共享相同的频谱。换句话说，必须减轻和利用干扰而不是避免。但是，先前的理论努力在实践中取得了最小的收益。该项目弥合了理论与实践之间的差距。 PI将在PHY和MAC层中共同设计和开发天线和算法，可能使频谱高效的通信具有可能性的数量级。设计的解决方案将使所有类别的设备，自动驾驶，医疗保健和物联网都可以连接，并促进社会所有细分市场便宜的连通性。该项目将导致培训研究生，并培养跨学科研究。拟议的活动旨在吸引来自各个背景的学生，侧重于代表性不足的群体。该提案重点是开发有限的信号到噪声（SNR）制度的干扰一致性（IA）技术。该提案有两个推力 - 一个专注于上行链路，另一个专注于下行链路。 PIS计划使用准随机定向天线元件来实现所需的目标。 （1）在基站上介绍新的传输和接收天线硬件结构，以创造有利的环境来进行干扰管理； （2）开发新的物理层算法，以利用所提出的天线的特性，并按大小的顺序增加，而用户的数量共享相同的频率插槽，而无需在发射器上需要通道信息； （3）开发PHY层算法和MAC-layer协议，以利用所提出的天线设计以实现大量用户的干扰对齐； （4）开发新型算法，使能够在现有的下一代细胞（5G）和WiFi（WIFI-6）方案上轻松部署拟议的研究； （5）通过使用硬件和软件实施的模拟和现实世界实验来评估提出的技术。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响评估标准，被认为值得通过评估来获得支持。

项目成果

Multiple smaller base stations are greener than a single powerful one: Densification of Wireless Cellular Networks

• 发表时间: 2022
• 作者: Agrim Gupta;I. Jain;Dinesh Bharadia