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

集成、混合和复杂系统麻省理工学院的Vladimir M.Stojanovic夏威夷大学的Aleksandar Kavcic合作研究：采用优化的ECC解码器的节能通信：连接算法和实现智能优点：在经典的单向通信系统中，发射器和接收器的功能分别进行优化。最近，出现了双向、功率受限的通信系统，例如用于无线移动设备和数字系统中的高速互连，其中发射机和接收机都从相同的电源获取功率，并且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，需要对发射机和接收机进行联合优化。这项研究追求的是一种联合优化严重功率受限的通信系统的策略，以实现速度(数据速率)、性能(就误码率而言)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，允许在复杂性和功耗与性能之间进行权衡。这项研究考虑了从理论开始到超大规模集成(VLSI)实现的整个工程设计，包括从VLSI设计层到算法开发层的反馈环路。广泛影响：本研究有可能通过综合方法降低无线移动通信的功耗，因为无线移动通信的电池寿命至关重要。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。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。夏威夷大学也计划进行类似的课程改进。

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.