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A novel uplink channel estimation in OFDM-CDMA systems
TLDR
We propose a DFT-based uplink channel estimation algorithm for OFDM-CDMA systems on the uplink. Expand
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Using Passive DNS to Detect Malicious Domain Name
TLDR
This paper adopts machine-learning method and uses passive DNS as the analytical data to construct a malicious domain name classification detection model. Expand
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Optimized layered multicast with superposition coding in cellular systems
TLDR
We consider the problem of optimal power allocation and optimal user selection in a layered multicast transmission over quasi-static Rayleigh fading channels. Expand
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Spectrum sharing in cognitive two-way relay networks
TLDR
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
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Demand-Side Scheduling Based on Deep Actor-Critic Learning for Smart Grids
TLDR
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
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Adaptive Offline and Online Similarity-Based Caching
TLDR
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
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Comparative Analysis of Channel Models for Industrial IoT Wireless Communication
TLDR
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
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Reinforcement Learning for Resource Allocation in Cognitive Radio Networks
TLDR
This chapter discusses the use of machine learning to perform distributed resource allocation in cognitive radio (CR) networks. Expand
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FASUS: A fast association mechanism for 802.11ah networks
TLDR
Fast association aims to quickly associate a large number of stations with an access point in 802.11ah networks. Expand
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McWiLL—A New Mobile Broadband Access Technology for Supporting Both Voice and Packet Services
TLDR
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
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