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Implementation issues in spectrum sensing for cognitive radios
To improve radio sensitivity of the sensing function through processing gain, three digital signal processing techniques are investigated: matched filtering, energy detection and cyclostationary feature detection.
Low-power CMOS digital design
An architecturally based scaling strategy is presented which indicates that the optimum voltage is much lower than that determined by other scaling considerations, and is achieved by trading increased silicon area for reduced power consumption.
Cooperative Sensing among Cognitive Radios
This work proposes light-weight cooperation in sensing based on hard decisions to mitigate the sensitivity requirements on individual radios and shows that the "link budget" that system designers have to reserve for fading is a significant function of the required probability of detection.
Low Power Digital CMOS Design
The Hierarchy of Limits of Power J.D. Stratakos, et al., and Low Power Programmable Computation coauthored with M.B. Srivastava, provide a review of the main approaches to Voltage Scaling Approaches.
Minimizing power consumption in digital CMOS circuits
An approach is presented for minimizing power consumption for digital systems implemented in CMOS which involves optimization at all levels of the design and has been applied to the design of a chipset for a portable multimedia terminal that supports pen input, speech I/O and full-motion video.
A dynamic voltage scaled microprocessor system
A microprocessor system is presented in which the supply voltage and clock frequency can be dynamically varied so that the system can deliver high throughput when required while significantly
Millimeter-wave CMOS design
This paper describes the design and modeling of CMOS transistors, integrated passives, and circuit blocks at millimeter-wave (mm-wave) frequencies. The effects of parasitics on the high-frequency
A 6-bit 600-MS/s 5.3-mW asynchronous ADC in 0.13-μm CMOS
An asynchronous analog-to-digital converter (ADC) based on successive approximation is used to provide a high-speed (600-MS/s) and medium-resolution (6-bit) conversion which allows its use in RF subsampling applications.
Spectrum Sensing Measurements of Pilot, Energy, and Collaborative Detection
An experimental study that comprehensively evaluates the performance of three different detection methods proposed for sensing of primary user signals in cognitive radios, identifying the design parameters that can significantly improve the sensing gain.
BEE2: a high-end reconfigurable computing system
The Berkeley Emulation Engine 2 (BEE2) project is developing a reusable, modular, and scalable framework for designing high-end reconfigurable computers, including a processing-module building block