Collaborative Research: Energy-efficient communication with optimized ECC decoders: Connecting Algorithms and Implementations

协作研究：使用优化的 ECC 解码器进行节能通信：连接算法和实现

• 批准号: 0725555
• 负责人: Vladimir Stojanovic
• 金额: $ 18万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0725555&HistoricalAwards=false
• 关键词: Collaborative; Research; Energy; efficient; communication

Integrative, Hybrid and Complex SystemsVladimir M. Stojanovic, Massachusetts Institute of TechnologyAleksandar Kavcic, University of HawaiiCollaborative Research: Energy-efficient Communication with Optimized ECC Decoders: Connecting Algorithms and ImplementationsIntellectual Merit: In a classical unidirectional communication system, the transmitter and the receiver functions are optimized separately. Recently, bidirectional, power-constrained communication systems have emerged, such as for wireless mobile devices and high-speed interconnections within digital systems, where both the transmitter and the receiver draw power from the same supply and where their joint power consumption affects the data rate and the energy-efficiency of the whole system. Thus, the transmitter and the receiver need to be jointly optimized. This research pursues a strategy to jointly optimize severely power-constrained communication systems to achieve a balance between speed (data rate), performance (in terms of error rate), and power consumption. The strategy uses special families of decoders of error correction codes (ECCs) that allow tradeoffs in complexity and power consumption for performance. The research considers the entire engineering design, from theoretical inception to very large-scale integration (VLSI) implementation, including the feedback loop from the VLSI design layer to the algorithm development layer.Broader Impact: This research has the potential to reduce power consumption in wireless mobile communication, where battery life is critical, through an integrative approach. Results of this research will be incorporated into a communication system design course at MIT. Course material will be made freely available through MIT's OpenCourseWare (OCW) website. Similar course improvements are planned at the University of Hawaii.

集成、混合和复杂系统Vladimir M. Stojanovic，麻省理工学院Aleksandar Kavcic，夏威夷大学合作研究：优化 ECC 解码器的节能通信：连接算法和实现智力优点：在经典的单向通信系统中，发射器和接收器功能是分别优化。 最近，出现了双向、功率受限的通信系统，例如无线移动设备和数字系统内的高速互连，其中发射器和接收器都从同一电源获取功率，并且它们的联合功耗会影响数据速率以及整个系统的能源效率。 因此，发射器和接收器需要联合优化。 本研究寻求一种联合优化功率严重受限的通信系统的策略，以实现速度（数据速率）、性能（错误率）和功耗之间的平衡。 该策略使用特殊的纠错码 (ECC) 解码器系列，可以在复杂性和功耗与性能之间进行权衡。 该研究考虑了整个工程设计，从理论开始到超大规模集成（VLSI）实现，包括从VLSI设计层到算法开发层的反馈回路。更广泛的影响：该研究有可能降低通过综合方法实现无线移动通信，其中电池寿命至关重要。 这项研究的结果将被纳入麻省理工学院的通信系统设计课程中。 课程材料将通过麻省理工学院的 OpenCourseWare (OCW) 网站免费提供。 夏威夷大学也计划进行类似的课程改进。