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rawalpindi, pakistan
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Joined November 22, 2019
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Sns P.
@infosnspad
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rawalpindi, pakistan
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MatLab Expert Programmer
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Portfolio
Portfolio
Wireless Sensor Network
Okumara-Hata Model
Wireless Sensor Network
Okumara-Hata Model
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£125.00 GBP
Wireless
Computer Security
Technical Writing
Research Writing
Network Administration
•
Experience
ASSOCIATE PROFESSOR
Jan 2017 - Present
10+ years of experience in R&D
Education
Ph.D (EE)
(5 years)
MS (EE)
(2 years)
Qualifications
Observation based Education towards PEC
IIU, Islamabad
2017
The two-day workshop on OBE towards PEC accreditation.
Wireless Mobile Communication
Institute of Engineering & Technology
2015
Six Month course in Wireless Mobile Communication including topics such as GSM, Wifi, 3G, 4G, etc.
Publications
Classification of M-QAM & M-PSK signals using Genetic Programming (GP)
Springer
Automatic modulation classification becomes an essential feature for such scenarios where the receiver has a little or no knowledge about the transmitter parameters. This paper presents kth nearest neighbor (KNN)based classification of M-QAM and M-PSK modulation schemes using higher-order cumulants as input features set. Genetic programming is used to enhance the performance of the KNN classifier by creating super features from the data set.
Clustering-based Channel Allocation scheme for NAN in a CR based Smart Grid Communication
IEEE Access
In this research article, we propose a clustering-based approach to deal with Channel Allocation (CA) problem among SUs considering practical constraints in the SG environment.
Clustering-based Channel Allocation scheme for NAN in a CR based Smart Grid Communication
IEEE Access
In this research article, we propose a clustering-based approach to deal with Channel Allocation (CA) problem among SUs considering practical constraints in the SG environment.
Cognitive Radio based Smart Grid Communication Network
ELESVIER
This paper first discusses the communication requirements, followed by an overview of SG applications. Then a
a detailed comparison is given for current wired and wireless communication technologies along with new
standards/technologies like Cognitive Radio (CR), Smart Utility Networks (SUNs) and TV White Spaces (TVWS)
that are ideal for the SG environment, followed by proposed CR based network architecture for SGCN and its salient features.
A Novel Approach for Automatic Modulation Classification via Hidden Markov Models and Gabor Features
Springer
A novel approach is proposed for the classification of (PAM) & (QAM) signals. The automatic modulation classification is the intermediate step between the detection and demodulation of the signal. In this paper, we propose a classifier for digital odulated signals such as PAM and QAM that differs with the existing classifiers. The gabor parameters have been used as input features and the proposed classifier uses a hidden markov model in conjunction with a genetic algorithm (GA).
Channel estimation in Massive MIMO systems using Heuristic approach
Springer
Massive MIMO is one of the chief candidates for future 5G wireless communication systems, but to fully reap the true benefits many research problems still need to be solved or require further analysis. In this paper, we deal with the accurate and timely acquisition of massive Channel State Information as an optimization problem that is solved using heuristic optimization techniques i.e. Genetic Algorithm, Particle Swarm Optimization, and Differential Evolution.
M-PAM Signals Classification using Modified Gabor Filter Network
hindwai
A Modified Gabor Filter (MGF) network-based approach is used for feature extraction and classification of
A Novel Modulation Classification Approach Using Gabor Filter Network
HINDWAI
A Gabor filter network-based approach is used for feature extraction and classification of digitally modulated signals by adaptively tuning the parameters of the Gabor filter network. Modulation classification of digitally modulated signals is done under the influence of additive white Gaussian noise (AWGN). The modulations considered for the classification purpose are PSK 2 to 64, FSK 2 to 64, and QAM 4 to 64.
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