Kandeepan Sithamparanathan

Prof. Kandeepan Sithamparanathan

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Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 July 2014 in IEEE Wireless Communications Letters
Verified
Journal Article
Closed access
AAAkram Al-Hourani
Akram Al-Hourani
KSKandeepan Sithamparanathan
Kandeepan Sithamparanathan
SLSimon Lardner
Simon Lardner
Low-altitude aerial platforms (LAPs) have recently gained significant popularity as key enablers for rapid deployable relief networks where coverage is provided by onboard radio heads. These platforms are capable of delivering essential wireless communication for public safety agencies in remote areas or during the aftermath of natural disasters. In this letter, we present an analytical approach to optimizing the altitude of such platforms to provide maximum radio coverage on the ground. Our analysis shows that the optimal altitude is a function of the maximum allowed pathloss and of the statistical parameters of the urban environment, as defined by the International Telecommunication Union. Furthermore, we present a closed-form formula for predicting the probability of the geometrical line of sight between a LAP and a ground receiver.
1 December 2014
Verified
Conference Paper
Closed access
AAAkram Al-Hourani
Akram Al-Hourani
KSKandeepan Sithamparanathan
Kandeepan Sithamparanathan
AJAbbas Jamalipour
Abbas Jamalipour
The reliable prediction of coverage footprint resulting from an airborne wireless radio base station, is at utmost importance, when it comes to the new emerging applications of air-to-ground wireless services. These applications include the rapid recovery of damaged terrestrial wireless infrastructure due to a natural disaster, as well as the fulfillment of sudden wireless traffic overload in certain spots due to massive movement of crowds. In this paper, we propose a statistical propagation model for predicting the air-to-ground path loss between a low altitude platform and a terrestrial terminal. The prediction is based on the urban environment properties, and is dependent on the elevation angle between the terminal and the platform. The model shows that air-to-ground path loss is following two main propagation groups, characterized by two different path loss profiles. In this paper we illustrate the methodology of which the model was deduced, as well as we present the different path loss profiles including the occurrence probability of each.
18 May 2016 in IEEE Communications Magazine
Verified
Journal Article
Closed access
SCSathyanarayanan Chandrasekharan
Sathyanarayanan Chandrasekharan
KGKarina Gomez
Karina Gomez
AAAkram Al-Hourani
Akram Al-Hourani
KSKandeepan Sithamparanathan
Kandeepan Sithamparanathan
TRTinku Rasheed
Tinku Rasheed
SASandy Allsopp
Sandy Allsopp
Providing "connectivity from the sky" is the new innovative trend in wireless communications. High and low altitude platforms, drones, aircrafts, and airships are being considered as candidates for deploying wireless communications complementing the terrestrial communication infrastructure. In this article we report the detailed account of the design and implementation challenges of an aerial network consisting of LTE-Advanced (LTE-A) base stations. In particular, we review achievements and innovations harnessed by an aerial network composed of Helikite platforms. Helikites can be raised in the sky to bring Internet access during special events and in the aftermath of an emergency. The trial phase of the system mounting LTE-A technology onboard Helikites to serve users on the ground yielded very encouraging results, and showed that such a system could offer a longer lasting solution, provided that inefficiency in powering the radio frequency equipment in the Helikite can be overcome.
9 November 2021 in IEEE Access
Verified
Journal Article
Open access
Song WangSong Wang
Song Wang
JBJuan Fernando Balarezo
Juan Fernando Balarezo
KSKandeepan Sithamparanathan
Kandeepan Sithamparanathan
AAAkram Al-Hourani
Akram Al-Hourani
KCKarina Gomez Chavez
Karina Gomez Chavez
BRBenjamin Rubinstein
Benjamin Rubinstein
Anomalies could be the threats to the network that have ever/never happened. To protect networks against malicious access is always challenging even though it has been studied for a long time. Due to the evolution of network in both new technologies and fast growth of connected devices, network attacks are getting versatile as well. Comparing to the traditional detection approaches, machine learning is a novel and flexible method to detect intrusions in the network, it is applicable to any network structure. In this paper, we introduce the challenges of anomaly detection in the traditional network, as well as in the next generation network, and review the implementation of machine learning in the anomaly detection under different network contexts. The procedure of each machine learning category is explained, as well as the methodologies and advantages are presented. The comparison of using different machine learning models is also summarised.
16 January 2017 in IEEE Transactions on Intelligent Transportation Systems
Verified
Journal Article
Closed access
AAAkram Al-Hourani
Akram Al-Hourani
RERobin J. Evans
Robin J. Evans
KSKandeepan Sithamparanathan
Kandeepan Sithamparanathan
BMBill Moran
Bill Moran
HEHamid Eltom
Hamid Eltom
As the use of automotive radar increases, performance limitations associated with radar-to-radar interference will become more significant. In this paper, we employ tools from stochastic geometry to characterize the statistics of radar interference. Specifically, using two different models for the spatial distributions of vehicles, namely, a Poisson point process and a Bernoulli lattice process, we calculate for each case the interference statistics and obtain analytical expressions for the probability of successful range estimation. This paper shows that the regularity of the geometrical model appears to have limited effect on the interference statistics, and so it is possible to obtain tractable tight bounds for the worst case performance. A technique is proposed for designing the duty cycle for the random spectrum access, which optimizes the total performance. This analytical framework is verified using Monte Carlo simulations.
11 December 2014 in IEEE Transactions on Aerospace and Electronic Systems
Verified
Journal Article
Closed access
KSKandeepan Sithamparanathan
Kandeepan Sithamparanathan
KGKarina Gomez
Karina Gomez
LRLaurent Reynaud
Laurent Reynaud
TRTinku Rasheed
Tinku Rasheed
Hybrid aerial-terrestrial communication networks based on low-altitude platforms are expected to meet optimally the urgent communication needs of emergency relief and recovery operations for tackling large-scale natural disasters. The energy-efficient operation of such networks is important given that the entire network infrastructure, including the battery-operated ground terminals, exhibits requirements to operate under power-constrained situations. In this paper, we discuss the design and evaluation of an adaptive cooperative scheme intended to extend the survivability of the battery-operated aerial-terrestrial communication links. We propose and evaluate a real-time adaptive cooperative transmission strategy for dynamic selection between direct and cooperative links based on the channel conditions for improved energy efficiency. We show that the cooperation between mobile terrestrial terminals on the ground could improve energy efficiency in the uplink, depending on the temporal behavior of the terrestrial and aerial uplink channels. The corresponding delay in having cooperative (relay-based) communications with relay selection is also addressed. The simulation analysis corroborates that the adaptive transmission technique improves overall energy efficiency of the network whilst maintaining low latency, enabling real-time applications.