Aerial base stations (AeBSs), as crucial components of air-ground integrated networks, are
widely employed in cloud computing, disaster relief, and various applications. How to …

Federated learning (FL) is a promising solution for preserving user privacy in Internet of
Things (IoT) networks thanks to its distributed computing feature. Furthermore, over-the-air …

In the past few years, satellite communications have greatly affected our daily lives. Because
the resources of terrestrial-satellite network are limited, how to allocate resources of …

With the development of the 802.11 be standard which incorporates Orthogonal Frequency
Division Multiple Access (OFDMA), there will be more real-world scenarios which have more …

Federated learning (FL) can train a global model from clients' local dataset, which can make
full use of the computing resources of clients and performs more extensive and efficient …

The cloud radio access network (C-RAN) provides high spectral and energy efficiency
performances, low expenditures, and intelligent centralized system structures to operators …

动态的传输需求和有限的缓存空间给恶意干扰环境下的无线数据传输带来巨大挑战.
针对上述问题, 从频域和时域的角度出发, 研究了面向分布式物联网的协同抗干扰信道选择和 …

In recent years, the rapid development of Internet technology and its applications has led to
an exponential growth in the number of Internet users and wireless terminal devices …

为了在无线网络中进行高效的链路资源调度, 减小网络干扰, 提高网络容量, 提出了一种利用回溯
天线并考虑干扰环境的链路资源分布式智能调度算法. 首先, 结合通信的路径损耗模型设计卷积 …

There has been a growing interest in developing data-driven, in particular deep neural
network (DNN) based methods for modern communication tasks. For a few popular tasks …