CIF: Small: Transcoding: A New Approach For Multi-hop Communications

CIF：小型：转码：多跳通信的新方法

• 批准号: 1816013
• 负责人: David Love
• 金额: $ 50万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1816013&HistoricalAwards=false
• 关键词: CIF; Small; Transcoding; New; Approach

As one of the main driving forces behind modern ubiquitous communication and computing, new 5G wireless technologies aim for substantially broader coverage (10-100x number of connected devices) with special focus on supporting low-power Internet-of-Things (IoT) devices, which will further propel the ongoing revolution within the telecommunications and high-tech industries for the next decade. One key technique underpinning the latest development of 5G and beyond standards is the use of multi-hop wireless connections and advanced backhauling to enable flexible extension of range and coverage area. Nonetheless, the industry-standard multi-hop communication schemes are still based on concepts developed 40 years ago, which incur intolerably high complexity and long delay with respect to the high throughput (1-10Gbps) and low latency (1ms) requirements of 5G networks and beyond. There is thus an urgent need for new multi-hop communication paradigms that simultaneously optimize throughput, delay, and complexity.This project proposes a new multi-hop communication paradigm called transcoding, a much needed revamp of the 40-year old industry standard called decode-and-forward. Specifically, transcoding takes a back-to-basics approach, which reexamines and analyzes the causes of the long-delay and high-complexity of the decode-&-forward policies. New strategies will then be designed accordingly, which will substantially improve the delay-tradeoff performance of multi-hop communications while significantly lowering the complexity. By breaking away from the decode-&-forward paradigm, the fundamentally new design philosophy of transcoding takes full advantage of the exciting recent development in single-hop wireless communications and in information theory. The results of this project will lead to new structured, low-complexity multi-hop "transcoders" that achieve high-throughput and low-latency necessary for the emerging 5G and IoT applications. The approaches and activities in this project include theoretical capacity analysis, new signal processing designs, network resource optimization, and testbed implementation and performance verification.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.

作为现代无处不在的通信和计算背后的主要驱动力之一，新的5G无线技术的目标是实质上更广泛的覆盖范围（10-100x连接的设备数量），特别关注支持低功耗的设备（IOT）设备，这将进一步推动下一个远程通讯和高电视工业中正在进行的革命中的持续革命。 5G和超出标准的最新开发基础的一项关键技术是使用多跳线无线连接和高级回程，以灵活地扩展范围和覆盖面积。但是，行业标准的多跳交流方案仍然基于40年前发展的概念，相对于高吞吐量（1-10Gbps）和5G网络及以后的高吞吐量（1-10Gbps）和低延迟（1MS）要求，它的复杂性和延迟。因此，迫切需要新的多跳交流范式，同时优化吞吐量，延迟和复杂性。本项目提出了一种称为Transcoding的新的多跳沟通范式，这是40岁的行业标准，称为Decode-and-Forward。具体而言，转码采用了一种背对面的方法，该方法重新检查和分析了解码 - ＆ - 正向策略的长期和高复杂性的原因。然后将相应地设计新的策略，这将大大改善多跳沟通的延迟贸易性能，同时大大降低复杂性。通过摆脱解码 - ＆ - 正向范式，转码的新设计理念充分利用了单跳无线通信和信息理论中令人兴奋的最新发展。该项目的结果将导致新的结构化的低复杂性多跳“转码”，以实现新兴的5G和IoT应用所需的高通量和低延迟。该项目中的方法和活动包括理论能力分析，新的信号处理设计，网络资源优化以及测试床实施和绩效验证。该奖项反映了NSF的法定任务，并被认为是通过基金会的智力优点和更广泛的影响来通过评估来获得支持的。

项目成果

Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach

• DOI: 10.1109/icc42927.2021.9500671
• 发表时间: 2021-01-01
• 期刊: IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021)
• 作者: Oh, Myeung Suk;Hosseinalipour, Seyyedali;Love, David J.
• 通讯作者: Love, David J.

Optimal Single-Bit Relaying Strategies With Multi-Relay Diversity

具有多中继分集的最佳单比特中继策略

• DOI: 10.1109/tit.2023.3292356
• 发表时间: 2023
• 期刊: IEEE Transactions on Information Theory
• 影响因子: 2.5
• 作者: Bliss, Matthew;Wang, Chih-Chun;Love, David J.
• 通讯作者: Love, David J.

Jointly Minimizing AoI Penalty and Network Cost Among Coexisting Source-Destination Pairs

共同最小化共存源-目的地对中的 AoI 惩罚和网络成本

• DOI: 10.1109/isit45174.2021.9518170
• 发表时间: 2021
• 期刊: 2021 IEEE International Symposium on Information Theory (ISIT
• 作者: Tsai, Cho-Hsin;Wang, Chih-Chun
• 通讯作者: Wang, Chih-Chun

How Useful is Delayed Feedback in AoI Minimization - A Study on Systems With Queues in Both Forward and Backward Directions

延迟反馈在 AoI 最小化中有何用处 - 对具有前向和后向队列的系统的研究

• DOI: 10.1109/isit50566.2022.9834697
• 发表时间: 2022
• 期刊: Proc. IEEE International Symposium on Information Theory
• 作者: Wang, Chih-Chun

Detailed Asymptotics of the Delay-Reliability Tradeoff of Random Linear Streaming Codes

• DOI: 10.1109/isit54713.2023.10206973
• 发表时间: 2023-06
• 期刊: 2023 IEEE International Symposium on Information Theory (ISIT)
• 作者: Pin-Wen Su;Yu-Chih Huang;Shih-Chun Lin;I-Hsiang Wang;Chih-Chun Wang