An FPGA accelerator for a sparsity-exploiting adaptive Transformer achieves up to 2x speedup and sub-2ms latency for massive MIMO localization with under 10% accuracy loss on real measurements.
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2026 2verdicts
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DNN-guided PSO variants track moving global optima in dynamic environments with lower cumulative error and fewer particles than recent PSO algorithms.
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Efficient Implementation of an Adaptive Transformer Accelerator for Massive MIMO Outdoor Localization
An FPGA accelerator for a sparsity-exploiting adaptive Transformer achieves up to 2x speedup and sub-2ms latency for massive MIMO localization with under 10% accuracy loss on real measurements.
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Deep Neural Network-guided PSO for Tracking a Global Optimal Position in Complex Dynamic Environment
DNN-guided PSO variants track moving global optima in dynamic environments with lower cumulative error and fewer particles than recent PSO algorithms.