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.

夏威夷大学夏威夷大学技术学院的集成，混合和复杂系统Vladimir M. Stojanovic，Massachusetts TechnologyAleksandar Kavcic研究所：与优化的ECC解码器的能源有效的沟通：连接算法和实现的功能：在经典的独立互动沟通中，分区和分区功能是分区的，是分区的。 最近，出现了双向，电源约束的通信系统，例如在数字系统内的无线移动设备和高速互连中，发射器和接收器都从相同的供应中汲取电源，以及它们的关节功耗会影响整个系统的数据速率和能源效率。 因此，需要共同优化发射器和接收器。 这项研究采取了一项策略，以共同优化严格的电力约束通信系统，以在速度（数据速率），性能（在错误率方面）和功耗之间达到平衡。 该策略使用了误差校正法规（ECC）的特殊家族，这些家族允许在复杂性和功耗方面进行权衡。 该研究考虑了整个工程设计，从理论开始到非常大规模的集成（VLSI）实施，包括从VLSI设计层到算法开发层的反馈回路。BOADER的影响：这项研究有可能在无线移动通信中降低无线移动通信的功能，而电池寿命至关重要，而电池寿命至关重要，通过一种整体的方法，这是至关重要的。 这项研究的结果将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MIT的OpenCourseware（OCW）网站免费提供。 计划在夏威夷大学进行类似的课程改进。