Deep neural networks have been widely applied in various machine learning applications
for mobile data analytics in cloud. However, this approach introduces significant data …

Resource allocation and spectrum management are two major challenges in the massive
scale deployment of Internet of Things (IoT) and Machine-to-Machine (M2M) communication …

This paper examines network slicing within the radio access network which employs an
orthogonal frequency division multiple access system for downlink communications. Its radio …

In the scenarios of non-cooperative wireless communications, automatic modulation
recognition (AMR) is an indispensable algorithm to recognize various types of signal …

With the explosive growth of mobile devices and communication facilities, electromagnetic
interference (EMI) has become a common phenomenon affecting the communication band …

Mobile edge computing is a promising paradigm that provides edge users with dependable
computing services. However, due to the dynamic nature of mobile users and the limited …

Low power consumption and high computational performance are two important processor
design goals for IoT applications. Achieving both design goals in one processor architecture …

Prediction of IoT traffic in the current era has attracted noteworthy attention to utilize the
bandwidth and channel capacity optimally. In this paper, the problem of IoT traffic prediction …

Accurate forecasting of traffic conditions is critical for improving urban transportation safety,
stability, and efficiency. It is challenging to produce explicit traffic forecasts due to complex …

智能物联网(artificial intelligence of things, AIoT) 是人工智能与物联网技术相融合的产物,
这一新兴概念在智慧城市, 智能家居, 智慧制造, 无人驾驶等领域得到了广泛应用. 然而AIoT …