Telecommunications

May 20


The IUP Journal of Telecommunications

ISSN: 0975-5551

A 'peer reviewed' journal indexed on Cabell's Directory, and also distributed by EBSCO and Proquest Database

It is a quarterly journal that publishes multidisciplinary research papers encompassing conceptual, theoretical and empirical studies relating to: Modeling, analysis, design and management of telecommunication systems; Transmission systems and Signaling system; Time division switching systems; Radio waves, Radar imaging, Satellite communication; Artificial Intelligence; Fibre optics and Photonic switching; Performance evaluation of Wide Area and Local Networks; Security issues of Mobile Networks; Standardization and regulatory issues, etc.

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Focus Areas
  • Broadband Communication Systems
  • Wireless Communication Networks
  • Optical Communication
  • Satellite Communications
  • Target Detection and Tracking
  • Intelligent Networks and Services
  • Internet Protocol Design and Traffic Analysis
  • Digital Image Processing
  • Multi-User Detection Techniques
  • Radar and Sonar Technologies
  • VLSI Designing
  • Digital Audio Broadcasting System
  • Multiplexing Queuing Theor
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Article   Price (₹) Buy
Challenges and Evaluation of Massive MIMO System Capacity Bounds for 5G Cellular Networks
50
Performance Evaluation of MIMO OFDM System Using Adaptive Modulation and Coding Technique
50
Application of Green Communication in Energy-Saving Transmissions of OFDMA-Based Multicarrier Base Stations
50
Estimation of Mobile Telecommunication Demand Using OLS Method with Qualitative Information to Test Economic Crashing Time
50
Reliability Modeling, Cost-Benefit Analysis with Inspection, Repair and Replacement Facility for Optical Fiber Network in DCRUST
50
Contents : (May 2020)

Challenges and Evaluation of Massive MIMO System Capacity Bounds for 5G Cellular Networks
Amjad Quazi, Sanjeev Kumar Gupta and Paresh Rawat

In the last decade, a lot of research has been done in the field for improving the Spectral Efficiency (SE) of the cellular wireless communicating channels. Multiple-Input and Multiple-Output (MIMO) technologies play a significant role in improving the overall efficiency of the system. The entire world is facing the major challenge of bandwidth crunch. Therefore, any work or contribution, which can improve the efficiency of the communication system, is a significant contribution to society. The paper presents a brief classification of the massive MIMO system designs, and the challenges are addressed. Initially, the MIMO system is introduced to increase SE by increasing the degree of freedom in space domain by multiple antennas. A large number of transmit-antennas provide more spectral and Energy Efficiency (EE) than conventional MIMO system. Then the massive MIMO system capacity bounds are evaluated considering the hardware impairment in the system. It is found that the performance of the channel estimation is essential for improving the overall efficiency of the massive MIMO system design. Mathematical modeling is given for evaluating the channel capacity; capacity is calculated and MIMO performance is evaluated.


© 2020 IUP. All Rights Reserved.

Article Price : ₹ 50

Performance Evaluation of MIMO OFDM System Using Adaptive Modulation and Coding Technique
Gyanender Kumar and Johnny Dogra

The main idea behind Adaptive Modulation Coding (AMC) is to change the Modulation and Coding Schemes (MCS) dynamically within the subsequent frame and to adopt the overall spectral efficiency to the channel condition. The selection of correct MCS is done at the receiver end on the basis of observed channel condition under the information supplied to the transmitter in every time frame. A number of significant works have been carried out on understanding the time adaptation aspect in AMC protocols, and the challenges in these methods occurred when the dynamic transmission techniques in the wireless networks are used, which have multiple signal dimensions. In this paper, the performance analysis of AMC is done using evaluation of Long-Term Evolution (LTE) and by calculating the probability of Bit Error Rate (BER) under the Additive White Gaussian Noise (AWGN) wireless channel models. AMC model is constructed in MATLAB under Gaussian (AWGN) to analyze the performance in BER, data delay and throughput.


© 2020 IUP. All Rights Reserved.

Article Price : ₹ 50

Application of Green Communication in Energy-Saving Transmissions of OFDMA-Based Multicarrier Base Stations
Ravi Shankar, Khushboo, Mrinal Darshan and Ritesh Kumar Mishra

Green communication technology provides energy-saving implementation of mobile communication network in the fast growing digital communication field. Power consumption at the cellular base station has become an important problem in mobile wireless communication. The paper proposes a new algorithm based on green communication technology for solving the power issue, power reduction at the cellular base station transceiver with consideration of Quality-of-Service (QoS) and equality conditions of each cellular subscriber. The paper uses Orthogonal Space-Time Block Code (OSTBC) component carrier for downlink transmission of the base station. The simulation results prove that the proposed scheme provides better energy-saving scheme compared to other energy-saving schemes.


© 2020 IUP. All Rights Reserved.

Article Price : ₹ 50

A Novel Technique with LoEstimation of Mobile Telecommunication Demand Using OLS Method with Qualitative Information to Test Economic Crashing Time
Raufu Oluwatoyin Raheem

Many countries have been facing the problem of how to represent the economic downtime, economic crashing or economic recession in order to make appropriate decision or policy intervention. For this purpose, the paper estimates mobile telecommunication demand for 10 years of 27 countries using Ordinary Least-Square (OLS) method with qualitative information as dummy variable. The dummy variable examines the economic crashing time in South Korea during 1997. The paper uses price of mobile (mobile cellular monthly subscription) in telecommunication industry, income of consumers and investment as three independent variables, while the number of mobile cellular telephone subscribers per 100 inhabitants is used as dependent variable. The results indicate that the higher the income, the higher would be the demand for mobile cellular telephone subscribers per 100 inhabitants and investment has no effect as t-statistic is less than 2. In the same manner, the dummy variable has no statistical significance at 5% level on the demand for mobile telecommunication during economic crashes. This implies that the effect of economic crash or economic downtime in South Korea in 1997 is statistically insignificant in relation to demand for mobile telecommunication.


© 2020 IUP. All Rights Reserved.

Article Price : ₹ 50

Reliability Modeling, Cost-Benefit Analysis with Inspection, Repair and Replacement Facility for Optical Fiber Network in DCRUST
Puja Rani and Manoj Duhan

The paper makes a survey of the optical fiber network installed at Deenbandhu Chhotu Ram University of Science and Technology (DCRUST) using reliability analysis, cost-benefit analysis and performance evaluation. Various reliability modeling-related aspects to calculate the reliability of the system have been analyzed. The proposed Markov model includes two units: one is operative unit and the other is hotstandby unit. Hotstandby unit is an optical fiber-based ring which acts as a protection ring. Operative unit is Optical Fiber Cable (OFC) of DCRUST. If working path (operative unit) fails, communication is done through protection path (hotstandby); if both units fail, then the whole system fails. Inspection, repair and replacement are done by regular repairman. The paper also includes a study of various measures of system effectiveness, different reliability parameters to evaluate profit and other measures related to the system. Graphical analysis between various system parameters has also been made.


© 2020 IUP. All Rights Reserved.

Article Price : ₹ 50

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