9 accepted papers
In millimeter-wave (mmWave) systems aided by intelligent reflecting surfaces (IRSs), accurate channel estimation under low pilot overhead is challenging because of the large number of passive IRS elements. By exploiting the low-rank nature of mmWave channels in the virtual angular domain (VAD) and t…
Vision transformers (ViTs) have achieved remarkable performance in various computer vision tasks. However, intensive memory and computation requirements impede ViTs from running on resource-constrained edge devices. Due to the non-normally distributed values after Softmax and GeLU, post- training qu…
Convolutional neural networks (CNNs) achieve remarkable performance in a wide range of fields. However, intensive memory access of activations introduces considerable energy consumption, impeding deployment of CNNs on resource-constrained edge devices. Existing works in activation compression propos…
Known for their capacity-achieving abilities, polar codes have been selected as the control channel coding scheme for 5G communications. To satisfy high throughput and low latency, belief propagation (BP) is ideal as the decoding algorithm due to its nature of parallel processing. However, the error…
In order to implement a real-time electrocardiogram (ECG) telemonitoring, compressed sensing (CS) is a new technology that reduces the power consumption of biosensors and data transmission. Unfortunately, limited label data and computing resources hinder the real-time ECG telemonitoring. Prior exper…
Polar codes have attracted much attention in the past decade due to their capacity-achieving performance. The higher decoding capacity is required for 5G and beyond 5G (B5G). Although the cyclic redundancy check (CRC)- assisted successive cancellation list bit-flipping (CA-SCLF) decoders have been d…
Compressive sensing (CS) is attractive in long-term electrocardiography (ECG) telemonitoring to extend life-time for resource-limited wireless wearable sensors. Moreover, health monitoring has emphasized the need for edge computing to process real-time data without the bandwidth costs. However, the…
Polar codes have drawn much attention and been adopted in 5G New Radio (NR) due to their capacity-achieving performance. Recently, as the emerging deep learning (DL) technique has breakthrough achievements in many fields, neural network decoder was proposed to obtain faster convergence and better pe…
Multi-connectivity, connections among multiple small cells (SCs) simultaneous, is used to be a promising solution to achieve high reliability in indoor millimeter-wave (mmWave) networks. This work further improves the multi-connectivity estimation under scenarios with strictly-limited training steps…