Wenbo Wang

We propose a DFT-based uplink channel estimation algorithm for OFDM-CDMA systems on the uplink. Expand

This paper adopts machine-learning method and uses passive DNS as the analytical data to construct a malicious domain name classification detection model. Expand

We consider the problem of optimal power allocation and optimal user selection in a layered multicast transmission over quasi-static Rayleigh fading channels. Expand

Spectrum sharing between primary and secondary systems in cognitive two-way relay networks in which a secondary user acts as the relay to assist the bidirectional primary transmission. Expand

We consider the problem of demand-side energy management, where each household is equipped with a smart meter that is able to schedule home appliances online based purely on instantaneous observations and a price signal. Expand

A convergent alternate gradient descent ascent algorithm is first introduced for an offline scenario with prior knowledge of the request rates, and then extended to an online setting. Expand

In the industrial environments of the future, robots, sensors, and other industrial devices will have to communicate autonomously and in a robust and efficient manner with each other, relying on a large extent on wireless communication links, which will expand and supplement the existing wired/Ethernet connections. Expand

This chapter discusses the use of machine learning to perform distributed resource allocation in cognitive radio (CR) networks. Expand

Fast association aims to quickly associate a large number of stations with an access point in 802.11ah networks. Expand

In this paper, we have provided an overview of McWiLL (Multi-Carrier Wireless Information Local Loop) mobile broadband access system and introduced its core state-of-the-art technologies, such as smart antennas, CS-OFDMA, make-beforebreak handoff, SDMA and MIMO. Expand