ApproxQAM: High-Order QAM Demodulation Circuits with Approximate Arithmetic
2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)(2021)
摘要
Modern mobile communication systems utilize increased bandwidth to provide advanced network performance and connectivity, all while their most computationally-intensive functions must be accelerated within the limited power envelope of embedded devices. In this paper, we improve the circuit complexity and throughput of a key digital function in the baseband processing chain, namely the high-order QAM demodulation. In particular, we explore 4 different demodulation algorithms, we employ both floating- and fixed-point arithmetic, and we insert approximations in the arithmetic units. In terms of accuracy of our most prominent implementations, i.e., for 64-QAM, our designs deliver BER values ranging from 10
-1
to 10
-4
for SNR 0-14dB. In terms of FPGA resources on Xilinx ZCU106, these 64-QAM designs achieve up to 98% reduction in LUT utilization compared to the accurate floating-point model of the same algorithm, and up to 122% increase in operating frequency. When targeting demodulation with high levels of accuracy, i.e., almost zero BER degradation with respect to that of the original floating-point model, the prevailing solution is the Approximate LLR algorithm configured with fixed-point arithmetic and 8-bit truncation, providing 81% decrease in LUTs and 13% increase in frequency to sustain a throughput of 323 Msamples/second.
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关键词
QAM Demodulation,Approximate Circuits,FPGA
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