ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Design Considerations for Energy-Efficient Radios in Wireless Microsensor Networks
Journal of VLSI Signal Processing Systems
Architecture Exploration for a Reconfigurable Architecture Template
IEEE Design & Test
From myth to methodology: cross-layer design for energy-efficient wireless communication
Proceedings of the 42nd annual Design Automation Conference
SODA: A Low-power Architecture For Software Radio
Proceedings of the 33rd annual international symposium on Computer Architecture
Vector processing as an enabler for software-defined radio in handheld devices
EURASIP Journal on Applied Signal Processing
Optimizing near-ML MIMO detector for SDR baseband on parallel programmable architectures
Proceedings of the conference on Design, automation and test in Europe
A coarse-grained array based baseband processor for 100Mbps+ software defined radio
Proceedings of the conference on Design, automation and test in Europe
A software-defined communications baseband design
IEEE Communications Magazine
Cross-layer design: a survey and the road ahead
IEEE Communications Magazine
Novel detector implementations for 3G LTE downlink and uplink
Analog Integrated Circuits and Signal Processing
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The fast pacing diversity and evolution of wireless communications require a wide variety of baseband implementations within a short time-to-market. Besides, the exponentially increased design complexity and design cost of deep sub-micron silicon highly desire the designs to be reused as much as possible. This yields an increasing demand for reconfigurable/ programmable baseband solutions. Implementing all baseband functionalities on programmable architectures, as foreseen in the tier-2 SDR, will become necessary in the future. However, the energy efficiency of SDR baseband platforms is a major concern. This brings a challenging gap that is continuously broadened by the exploding baseband complexity. We advocate a system level approach to bridge the gap. Specifically, we fully leverage the advantages (programmability) of SDR platforms to compensate its disadvantages (energy efficiency). Highly flexible and dynamic baseband signal processing algorithms are designed and implemented to exploit the abundant dynamics in the environment and the user requirement. Instead of always performing the best effort, the baseband can dynamically and autonomously adjust its work load to optimize the average energy consumption. In this paper, we will introduce such baseband signal processing techniques optimized for SDR implementations. The methodology and design steps will be presented together with 3 representative case studies in HSDPA, WiMAX and 3GPP LTE.