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Stojanovic，马萨诸塞州理工学院Aleksandar Kavcic，夏威夷大学合作研究：使用优化的ECC解码器进行节能通信：连接算法和实现智力优势：在经典的单向通信系统中，发射机和接收机功能分别进行优化。 近来，已经出现了双向的、功率受限的通信系统，诸如用于无线移动的设备和数字系统内的高速互连，其中发射机和接收机都从相同的电源汲取功率，并且其中它们的联合功率消耗影响整个系统的数据速率和能量效率。 因此，需要联合优化发射机和接收机。 本研究寻求一种策略，以联合优化严重功率受限的通信系统，以实现速度（数据速率），性能（在错误率方面）和功耗之间的平衡。 该策略使用特殊的家庭的纠错码（ECC）的解码器，允许权衡复杂性和功耗的性能。 该研究认为，整个工程设计，从理论上的成立到超大规模集成电路（VLSI）的实施，包括从VLSI设计层的算法开发layer.Broader影响的反馈回路：这项研究有可能降低功耗的无线移动的通信，电池寿命是至关重要的，通过一个综合的方法。 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。 课程材料将通过麻省理工学院的开放式课程（OCW）网站免费提供。 夏威夷大学也计划改进类似的课程。