low complexity, high throughput wireless architecture

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Low Complexity, High throughput wireless architecture Dayu Huang Advisor: Prof. Sean Meyn, Prof. Ada S.Y. Poon Illinois Center fo Wireless Systems PROPOSED METHODOLOGY •Signaling with energy efficient constellation which is also of low decoding complexity. •Exploring channel fading mechanism. GOAL •Wireless Architecture •High Throughput •Low Complexity •Energy Efficient ISSUES •Optimal Constellation matching to channel statistic leads to simple suboptimal constellation that outperforms in throughput conventional QAM of the same decoding complexity, as indicated by the capacity plot. •Capacity plot implies ideal case; Study with simulation of system with proposed constellation is in progress, using more realistic channel model. •Impacts of Analog Impairment on proposed constellation will be investigated by experiment with a FPGA-based Test Bed. •FPGA-based Test Bed •Constellation on the right has the same decoding complexity as 16QAM, but considerably outperforms 64QAM (left) at high SNR. WORK IN PROGRESS Symbols IFFT, Add CP Digital Up Converter Digital to Analog Converter Transmitter Front-End Symbols Digital Down Converter Analog to Digital Converter Receiver Front-End Packet Detection Timing Recovery, Remove CP, FFT Computer FPGA Analog Impairment the system diagram of the test bed

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Digital Up Converter. Digital to Analog Converter. Transmitter Front-End. Symbols. IFFT, Add CP. Computer. Packet Detection Timing Recovery, Remove CP, FFT. Digital Down Converter. Analog to Digital Converter. Receiver Front-End. Symbols. Analog Impairment. FPGA. - PowerPoint PPT Presentation

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Page 1: Low Complexity, High throughput wireless architecture

Low Complexity, High throughput wireless architectureDayu Huang Advisor: Prof. Sean Meyn, Prof. Ada S.Y. Poon

Illinois Center forWireless Systems

PROPOSED METHODOLOGY•Signaling with energy efficient constellation which is also of low decoding complexity.

•Exploring channel fading mechanism.

GOAL•Wireless Architecture

•High Throughput

•Low Complexity

•Energy Efficient ISSUES

•Optimal Constellation matching to channel statistic leads to simple suboptimal constellation that outperforms in throughput conventional QAM of the same decoding complexity, as indicated by the capacity plot.

•Capacity plot implies ideal case; Study with simulation of system with proposed constellation is in progress, using more realistic channel model.

•Impacts of Analog Impairment on proposed constellation will be investigated by experiment with a FPGA-based Test Bed.

•FPGA-based Test Bed

•Constellation on the right has the same decoding complexity as 16QAM, but considerably outperforms 64QAM (left) at high SNR. WORK IN PROGRESS

Symbols IFFT,

Add CP

Digital Up Converter

Digital to Analog

Converter

Transmitter Front-End

Symbols Digital Down Converter

Analog to Digital

Converter

ReceiverFront-End

Packet DetectionTiming Recovery,

Remove CP,FFT

Computer

FPGA AnalogImpairment•the system diagram of the test bed