Recent reinforcement learning approaches for continuous control in wireless mobile
networks have shown impressive results. But due to the lack of open and compatible …

Today's WLANs rely on a centralized Access Controller (AC) entity for managing distributed
wireless Access Points (APs) to which user devices connect. The availability of real-time …

6G is envisioned to achieve ubiquitous Artificial Intelligence (AI) in heterogeneous and
massive-scale networks, where FEderated Edge Learning (FEEL) is an effective way to …

In order to coexist with the WiFi systems in the unlicensed spectrum, Long Term Evolution
(LTE) networks can utilize periodically configured transmission gaps. In this paper …

Next generation wireless networks are expected to be extremely complex due to their
massive heterogeneity in terms of the types of network architectures they incorporate, the …

The performance of federated learning (FL) over wireless networks depend on the reliability
of the client-server connectivity and clients' local computation capabilities. In this article we …

We present the DeepWiFi protocol, which hardens the baseline WiFi (IEEE 802.11 ac) with
deep learning and sustains high throughput by mitigating out-of-network interference …

First, the key technologies of 5G heterogeneous wireless networks are introduced. Based on
the 5G heterogeneous network fusion architecture, heterogeneous network technologies are …

To solve the policy optimizing problem in many scenarios of smart wireless network
management using a single universal algorithm, this letter proposes a universal learning …

Shared use of unlicensed spectrum in practice for coexistence with WiFi is rather complex
and to achieve optimum usage can be highly challenging. While maximal utilization is …