近年来, 人工智能技术已被应用于无线通信领域, 以解决传统无线通信技术面对信息爆炸和万物
互联等新发展趋势所遇到的瓶颈问题. 首先介绍深度学习, 深度强化学习和联邦学习三类具有 …

We propose a robust spectrum sensing framework based on deep learning. The received
signals at the secondary user's receiver are filtered, sampled and then directly fed into a …

Automatic Modulation Classification (AMC) is significant for the practical support of a
plethora of emerging spectrum applications, such as Dynamic Spectrum Access (DSA) in 5G …

Automatic modulation classification (AMC) is a crucial technique for the design of intelligent
transceivers and has received considerable research attention. Conventional feature-based …

We present a neural network architecture able to efficiently detect modulation scheme in a
portion of I/Q signals. This network is lighter by up to two orders of magnitude than other …

Deep modulation recognition has demonstrated high classification accuracy when a neural
network is trained on large-scale datasets. However, when applied in an unknown …

How to allocate resources in the era of Big Data in telecommunications becomes a new
issue. Smartphone data could be a function of personality, as the smartphone supports …

Various non-orthogonal multiple access (NOMA) schemes have been proposed in multi-
user downlink scenarios for the enhanced spectrum efficiency. While coherent detection at …

İşbirlikli Haberleşme sistemi kaynak, röleler ve hedef düğümlerden oluşmaktadır. Kaynak,
işaretleri rölelere ve hedefe, röleler ise çözdüğü işareti hedef düğüme aktarmaktadır …

In recent years, deep learning (DL) techniques are widely used for physical layer solutions
in communication systems. DL techniques offer alternative options to existing …