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MIMO (Multiple-Input-Multiple-Output) is a promising structure for wireless communication. While virtual MIMO structure has been proposed for distributed and cooperative wireless networks, this proposed structure has also put additional energy consumption where energy stands in the important position. At the same time, we have observed that this-problem-caused low energy nodes' mibehavior will degrade...
It has been recently demonstrated that digital signal processing systems may possibly leverage unconventional voltage overscaling (VOS) to reduce energy consumption while maintaining satisfactory signal processing performance. Due to the computation-intensive nature of most signal processing algorithms, the energy saving potential largely depends on the behavior of computer arithmetic units in response...
Wireless sensor networks (WSNs) play an increasingly important role in civilian and military settings. With the limited energy supply, sensor nodes do neither large calculations nor further transmissions. Data aggregation can reduce the redundancy of packets and save energy to prolong the lifetime of sensor networks. This paper proposes a novel mechanism for the delay-ranged feedback timing control...
A soft digital signal processing (DSP) design paradigm has been recently proposed to reduce the energy consumption of DSP systems through voltage overscaling. This paper shows that the selection of arithmetic unit structure can be an important and non-trivial issue in soft DSP system design. We present an optimal formulation and propose sub-optimal low-complexity approximations for selecting the appropriate...
The versatile usages of smart cards with embedded display present a rigorous need in manufacturability and reliability. To increase the reliability and decrease the final cost, the work calls for co-design of the whole system which means that engineers have to consider the packaging scheme at the earliest stage of prototyping. Furthermore, the requirement of Chinese character based display requires...
This paper is interested in applying voltage over-scaling (VOS) to reduce trellis decoder energy consumption, where the key issue is how to minimize the decoding performance degradation due to VOS-induced errors. Based on the fact that the integrity of different bits in the trellis state metric has (largely) different effect on the overall trellis decoding performance, we proposed an importance-aware...
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