CBRS Spectrum Sharing between LTE-U and WiFi: A Multiarmed Bandit Approach

Parvez, Imtiaz; Sriyananda, M. G. S.; Güvenç, İsmail; Bennis, Mehdi; Sarwat, Arif I.

doi:10.1155/2016/5909801

Cited by 24 publications

(23 citation statements)

References 25 publications

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“…SVM is a machine learning algorithm based on modern statistical learning theory [59][60][61][62]. It separates two classes by constructing a hyper surface in the input space.…”

Section: Ocsvm In a Nutshellmentioning

confidence: 99%

Online power quality disturbance detection by support vector machine in smart meter

Parvez

Aghili

Sarwat

et al. 2018

J. Mod. Power Syst. Clean Energy

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Power quality assessment is an important performance measurement in smart grids. Utility companies are interested in power quality monitoring even in the low level distribution side such as smart meters. Addressing this issue, in this study, we propose segregation of the power disturbance from regular values using one-class support vector machine (OCSVM). To precisely detect the power disturbances of a voltage wave, some practical wavelet filters are applied. Considering the unlimited types of waveform abnormalities, OCSVM is picked as a semisupervised machine learning algorithm which needs to be trained solely on a relatively large sample of normal data. This model is able to automatically detect the existence of any types of disturbances in real time, even unknown types which are not available in the training time. In the case of existence, the disturbances are further classified into different types such as sag, swell, transients and unbalanced. Being light weighted and fast, the proposed technique can be integrated into smart grid devices such as smart meter in order to perform a real-time disturbance monitoring. The continuous monitoring of power quality in smart meters will give helpful insight for quality power transmission and management.

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“…SVM is a machine learning algorithm based on modern statistical learning theory [59][60][61][62]. It separates two classes by constructing a hyper surface in the input space.…”

Section: Ocsvm In a Nutshellmentioning

confidence: 99%

Online power quality disturbance detection by support vector machine in smart meter

Parvez

Aghili

Sarwat

et al. 2018

J. Mod. Power Syst. Clean Energy

Self Cite

View full text Add to dashboard Cite

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“…At the worst case scenario, 80 MHz spectrum will always be available for third tier/general users when second tier users are active and operated outside of first tier users' zones. This large amount of spectrum can provide clean channels for various wireless communication applications such as smart grid metering data communication [18,19,20,21]. WiFi and LTE use the CBRS band as the potential general (third tier) users in our study.…”

Section: Introductionmentioning

confidence: 99%

A Spectrum Sharing based Metering Infrastructure for Smart Grid Utilizing LTE and WiFi

Parvez¹,

Sarwat²

2019

Adv. sci. technol. eng. syst. j.

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GHz AMI cognitive radio LTE-U CBRS spectrum sharing Internet of Things (IoT) smart meter licensed assisted access (LAA) WiFiIn advanced metering infrastructure (AMI) of smart grid, WiFi is an appropriate choice for its bidirectional communication requirement to transmit data to the billing center. But, WiFi functions in the free spectrum bands and LTE also requires to use the same free bands for its network expansion being licensed spectrum is limited and expansive. LTE and WiFi can operate simultaneously in the 3.5 GHz band (also known as citizen broadband radio service (CBRS)), which has large amount of free and clean spectrum. In this paper, we propose a smart grid metering infrastructure based on fixed duty cycled LTE and WiFi, where smart meters and its' data collectors (known as Access Point) use WiFi and LTE, respectively, for transferring data. Under a system level simulation environment, we investigated the LTE-WiFi coexistence performance in CBRS band considering a time division duplexing (TDD)-LTE associated with FTP traffic, and IEEE 802.11n (WiFi). The simulation performance demonstrates a good neighborhood coexistence between WiFi and LTE, which makes it a potential communication solution for the AMI.

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“…Packet-based synchronization solutions are increasing in demand as an alternative to GPS based solutions due to packet networks (Ethernet and IP) being used as the common mode of communication in power systems [17]- [21]. Network time protocol (NTP) [22] is a protocol designed to synchronize computer clocks over a packet network.…”

Section: Introductionmentioning

confidence: 99%

A gossip algorithm based clock synchronization scheme for smart grid applications

Parvez

Sarwat

Pinto

et al. 2017

2017 North American Power Symposium (NAPS)

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The uprising interest in multi-agent based networked system, and the numerous number of applications in the distributed control of the smart grid leads us to address the problem of time synchronization in the smart grid. Utility companies look for new packet based time synchronization solutions with Global Positioning System (GPS) level accuracies beyond traditional packet methods such as Network Time Protocol (NTP). However GPS based solutions have poor reception in indoor environments and dense urban canyons as well as GPS antenna installation might be costly. Some smart grid nodes such as Phasor Measurement Units (PMUs), fault detection, Wide Area Measurement Systems (WAMS) etc., requires synchronous accuracy as low as 1 ms. On the other hand, 1 sec accuracy is acceptable in management information domain. Acknowledging this, in this study, we introduce gossip algorithm based clock synchronization method among network entities from the decision control and communication point of view. Our method synchronizes clock within dense network with a bandwidth limited environment. Our technique has been tested in different kinds of network topologies-complete, star and random geometric network and demonstrated satisfactory performance.

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CBRS Spectrum Sharing between LTE-U and WiFi: A Multiarmed Bandit Approach

Cited by 24 publications

References 25 publications

Online power quality disturbance detection by support vector machine in smart meter

Online power quality disturbance detection by support vector machine in smart meter

A Spectrum Sharing based Metering Infrastructure for Smart Grid Utilizing LTE and WiFi

A gossip algorithm based clock synchronization scheme for smart grid applications

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