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Kaur, Baljeet
- Optimal Power Transmission for Various Spectrum Sharing Approaches in OFDM based Cognitive Radio Network
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Authors
Affiliations
1 Department of Electronics and Communication Engineering, I.K. Gujral Punjab Technical University, IN
2 Department of Electronics and Communication Engineering, Guru Nanak Dev Engineering College, IN
1 Department of Electronics and Communication Engineering, I.K. Gujral Punjab Technical University, IN
2 Department of Electronics and Communication Engineering, Guru Nanak Dev Engineering College, IN
Source
ICTACT Journal on Communication Technology, Vol 11, No 3 (2020), Pagination: 2228-2233Abstract
In context of effective resource utilization using spectrum sensing and dynamic spectrum access (DSA), Cognitive Radio (CR) has been proposed as versatile and an emerging technology. In order to understand, how OFDM is consider as suitable candidate for cognitive radio, this paper presents various aspects of Orthogonal Frequency Division Multiplexing (OFDM) based cognitive radio. As total transmission rate of CR user is maximized in interference constraint scenario, this paper also formulate problem for optimal transmit power control in OFDM based CR under various spectrum sharing approaches such as underlay, overlay and interweave. Apart from existing works in the literature here we presented mathematical formula for power-allocation schemes for interweave as well as joint underlay and overlay approach. MATLAB simulation shows that with optimal power transmission by CR users, capacity can be improved significantly.Keywords
Cognitive Radio, Overlay, Underlay, Interweave, Optimal Power.
- LONG REACH DUAL POLARIZATION 128-QAM SYSTEM WITH DISPERSION/ NONLINEAR COMPENSATION USING OPTICAL BACK PROPAGATION
Abstract Views :260 |
PDF Views:112
Authors
Affiliations
1 Guru Nanak Dev Engineering College, IN
1 Guru Nanak Dev Engineering College, IN
Source
ICTACT Journal on Communication Technology, Vol 12, No 2 (2021), Pagination: 2414-2417Abstract
Optical network systems with prolonged reach are required to cater the long distance located optical network units (subscribers). In this work, a DP-128 QAM based system is proposed with Optical Back Propagation (OBP) to cope up with nonlinear impairments in wavelength division multiplexed (WDM) systems. OBP module that consists of optical phase conjugator (OPC), Raman fiber amplifier (RFA) and erbium doped fiber amplifier (EDFA) is investigated in pre, post and symmetrical configuration. Ideal OBP conditions are simulated using Dispersion Compensation Fiber (DCF) as a RFA with dual directional pumping. Dual directional pumping shows better result than forward and backward pumping. Results revealed that system can cover 5100 km within acceptable BER (10-3) using symmetrical OBP with RFA dual bi-directional pumping. Proposed symmetrical OBP system provides enhanced performance as compared to other techniques such as single channel digital back propagation (DBP), wideband DBP, pre OBP with forward pumping, pre OBP with backward pumping, pre OBP with dual directional pumping, and post OBP with dual directional pumping.Full Text
References
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- HYBRID SHARING AND POWER ALLOCATION USING WATERFILLING ALGORITHM FOR MIMO-OFDM BASED COGNITIVE RADIO NETWORK
Abstract Views :213 |
PDF Views:119
Authors
Affiliations
1 I.K. Gujral Punjab Technical University, IN
2 Guru Nanak Dev Engineering College, IN
1 I.K. Gujral Punjab Technical University, IN
2 Guru Nanak Dev Engineering College, IN
Source
ICTACT Journal on Communication Technology, Vol 12, No 2 (2021), Pagination: 2402-2406Abstract
In order to optimize power allocation, Orthogonal frequency division multiplexing (OFDM) based cognitive radio (CR) network allows flexible spectrum and adaptive capability. Decreased capacity due to subcarrier cancelation and out of band reduction can be compensated while employing multiple inputs and multiple outputs (MIMO) along with OFDM based CR. MIMO allows better beam forming and directivity due to multiple transmit and receive antenna. Here we have implemented water filling mechanism with channel state information (CSI) for optimal power allocation under hybrid spectrum sharing scenario such as overlay, underlay and interweave. Main objective is to maximize overall capacity of cognitive radio network in downlink while considering interference constraint imposed by primary user and maximum transmit power constraint at secondary user. Simulation results demonstrate waterfilling approach for hybrid scenario in MIMO-OFDM based CRN.Full Text
References
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- Home Network Security Incorporating Machine Learning Algorithms In Internet Of Medical Things
Abstract Views :120 |
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Authors
Affiliations
1 Department of Computer Science and Engineering, I.K. Gujral Punjab Technical University, IN
2 Department of Electronics and Communication Engineering, Guru Nanak Dev Engineering College, IN
3 Department of Informatics, Federal Institute of Education, Science, and Technology of São Paulo, BR
1 Department of Computer Science and Engineering, I.K. Gujral Punjab Technical University, IN
2 Department of Electronics and Communication Engineering, Guru Nanak Dev Engineering College, IN
3 Department of Informatics, Federal Institute of Education, Science, and Technology of São Paulo, BR
Source
ICTACT Journal on Communication Technology, Vol 12, No 4 (2021), Pagination: 2562-2566Abstract
The proliferation of chronic disorders such as COVID-19 has recognized the importance of people all over the world having immediate access to healthcare. The recent pandemic has shown deficiencies in the traditional healthcare infrastructure, namely that hospitals and clinics alone are inadequate for grappling with such a disaster. One of the key technologies that favours new healthcare solutions is smart and interconnected wearables. Thanks to developments in the Internet of Things (IoT), these wearables will now collect data on an unprecedented scale. However, as a result of their extensive use, security in these critical systems has become a major concern. This paper presents an intrusion detection mechanism based on Machine Learning Algorithms for healthcare applications used in home network environments. Experiments are carried out on a home network to detect attacks against a health care application. Experiments using the proposed mechanism based on Machine Learning algorithms to detect attacks against a healthcare application are carried out on a home network, and the results show a good performance of the used algorithms.Keywords
IoMT, Security, Smart Watch, IDSReferences
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- Cybersecurity In IIOT And IOMT Networks Using Machine Learning Algorithms - A Survey
Abstract Views :123 |
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Authors
Affiliations
1 Department of Computer Science and Engineering, I.K. Gujral Punjab Technical University, IN
2 Department of Electronics and Communication Engineering, Guru Nanak Dev Engineering College, IN
3 Department of Informatics, Federal Institute of Education, Science, and Technology of São Paulo, BR
1 Department of Computer Science and Engineering, I.K. Gujral Punjab Technical University, IN
2 Department of Electronics and Communication Engineering, Guru Nanak Dev Engineering College, IN
3 Department of Informatics, Federal Institute of Education, Science, and Technology of São Paulo, BR
Source
ICTACT Journal on Communication Technology, Vol 12, No 4 (2021), Pagination: 2577-2581Abstract
Rapid advancements in micro-computing, mini-hardware manufacturing, and machine-to-machine (M2M) communications have allowed for innovative Internet of Things (IoT) solutions to redefine numerous networking applications. With the emergence of IoT branches such as the Internet of Medical Things (IoMT) and the Industrial Internet of Things (IIoT), healthcare and industrial systems have been changed by IoT. This paper presents an overview of the technologies that are being used to secure IoMT as well as IIoT frameworks seen within the research articles.Keywords
Machine Learning, Healthcare, Cybersecurity, Internet of Things (IoT)References
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