Nov 19

The IUP Journal of Telecommunications

Focus

IoT services and many more evolving applications. Obviously, the most attractive part of such human and machine interface has revolutionized the network access strategies and allows complete mobility to an end user at his convenience even at a competitive cost. These technological improvements always need a thorough understanding and deepening of the related scientific and engineering research. The main focus of the modern researchers has been to enhance the usage of the available spectrum, bandwidth efficiency and wireless link performances, which leads to exploring new engineering solutions.

This issue contains four articles emphasizing the engineering aspects and techniques to achieve higher data rate in the given bandwidth and also to improve the link connectivity performance in the wireless faded environment. The first three papers have presented appropriate spectrum utilization and optimum channel utilization technologies, followed by a review of image processing in the fourth paper.

The first paper, "Planning TV White Space Network for Broadband Services for a Rural South-East Nigerian Community", by A N Osakwe, G O Uzedhe and D U Onyishi, describes issues related to the usage of TV White Space (TVWS) for secondary application in a rural area of South-East Nigeria for broadband internet applications. The network architecture for the proposed system has been modeled using the existing communication infrastructure. The paper discusses many emerging initiatives to reallocate the unused spectrum to the needy areas for enhanced spectrum utilization.

The inclusion of MIMO in the IMAX system provides a robust platform to resolve the channel impairment caused by space, time and frequency selective fading conditions. The suitable diversity scheme implementation increases the data rate and system performance in a faded environment. The second paper, "MIMO-WIMAX Channel MATLAB Simulation Using Alamouti and OSTBC Code", by Sonal Rohit and Preeti Trivedi, presents Bit Error Rate (BER) analysis for image data using the MIMO system with finite-bit feedback approach in QAM modulation technique. The paper reports the performance analysis of the MIMO-WIMAX system using different modulation schemes under channel conditions like AWGN for Alamouti and OSTBC. The findings of the considered modulation formats confirm a significant diversity gain in the considered wireless environment.

Phased Array Antenna (PAA) system reinforces the radiation pattern in a desired direction to improve the SNR at the receiver. The third paper, "Series Feed Microstrip Antenna Array for RADAR Systems", by Kanchan H Wagh and Shashank S Shriramwar, investigates the microstrip antenna array towards its resonance frequency characterization on the considered array configuration with appropriate feeding techniques. The paper finds an improvement in the performance by series feed taper structure but with a compromise of lower bandwidth. The last paper, "Feature Extraction and Classification Techniques for Brain Tumour Images: A Review", by Sowjanya Velugubantla and Sasibhushana Rao Gottapu, reviews the image processing technique used to detect brain tumors, classifying them into preprocessing, feature extraction and other classification categories. These methods are very useful to classify the benign and malignant tumors of brain and are crucial in extracting the hidden information of the image for appropriate action.

-V K Chaubey,
Consulting Editor

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Article   Price (₹) Buy
Planning TV White Space Network for Broadband Services for a Rural South-East Nigerian Community
50
MIMO-WIMAX Channel MATLAB Simulation Using Alamouti and OSTBC Code
50
Series Feed Microstrip Antenna Array for RADAR Systems
50
Feature Extraction and Classification Techniques for Brain Tumor Images: A Review
50
     
Contents : Nov 19

Planning TV White Space Network for Broadband Services for a Rural South-East Nigerian Community
A N Osakwe, G O Uzedhe and D U Onyishi

Providing broadband internet for all people using prevailing technologies is a challenging task, especially for communities who live in rural and remote areas. One possible solution to provide broadband internet for rural areas is using wireless technologies which work at unused spectrum. TV White Space (TVWS) scenario in developing countries is much unlike those in developed countries. The availability of underutilized spectrum in UHF band is significant in these countries in contrast to developed countries, where only sporadic spectrum gaps are available. The paper describes issues related to TVWS usage for secondary application in a rural area of South-East, Nigeria. In order to provide broadband internet for rural and remote areas, feasibility of TVWS was done. The network architecture for the proposed system was modeled using the reality of available communication infrastructure. The propagation model was developed and the propagation prediction of the proposed network was done using a radio planning tool.


© 2019 IUP. All Rights Reserved.

Article Price : ₹ 50

MIMO-WIMAX Channel MATLAB Simulation Using Alamouti and OSTBC Code
Sonal Rohit and Preeti Trivedi

Multiple Input Multiple Output (MIMO) systems are increasingly being adopted in communication systems. This network uses multiple antenna for communication and spatial dimension method in addition to time and frequency without changing the bandwidth of the system. The system can also be accessed with the Worldwide Interoperability for Microwave Access (WIMAX) IEEE 802.16 standards. MIMO network uses wireless Metropolitan Area Network (MAN). The inclusion of MIMO in the WIMAX system is to provide a robust platform for space, time and frequency selective fading conditions. This system also increases the data rate and system performance. A Bit Error Rate (BER) analysis is presented for an image for the MIMO system with finite-bit feedback in QAM modulation technique. The transmitting signal consists of a rotational precoder, followed by Alamouti codes and Orthogonal Space-Time Block Code (OSTBC), through which the full diversity gain is achieved when a linear receiver such as Zero-Forcing (ZF) is used. The simulation of the MIMO-WIMAX model is done using MATLAB. The performance of the MIMO-WIMAX system has been carried out using different modulation schemes under channel conditions like AWGN for Alamouti and OSTBC. The execution of MIMO-WIMAX framework has been completed using Alamouti and OSTBC for various modulation techniques for different parameters like BER, Root Mean Square Error (RMSE), Peak Signal to Noise Ratio (PSNR) and modulation order.


© 2019 IUP. All Rights Reserved.

Article Price : ₹ 50

Series Feed Microstrip Antenna Array for RADAR Systems
Kanchan H Wagh and Shashank S Shriramwar

Phased Array Antennas (PAA) are the ideal solution for a variety of system applications, including air traffic control and collision avoidance radar for WLAN and cellular communication. A microstrip antenna array is used as it is easy to design and fabricate. It has small size, lightweight and efficient and high gain. Antenna array designs are important areas of research in active phased array RADAR that can meet the subject requirement. Microstrip antennas are used in a variety of wireless applications including radars, cellular phones, wireless sensor networks and in medical applications. The paper reviews different configurations of microstrip antenna array for phased array radar.


© 2019 IUP. All Rights Reserved.

Article Price : ₹ 50

Feature Extraction and Classification Techniques for Brain Tumor Images: A Review
Sowjanya Velugubantla and Sasibhushana Rao Gottapu

In medical fields, detection of brain tumors and their feature extraction is very important. By observing various image modalities, different anatomy structures of human brain can be visualized. It is very difficult to identify the abnormal tissue structures of brain using simple imaging techniques. Image processing technique used to detect brain tumors and classify them contains several steps. The steps include preprocessing, feature extraction and classification. To classify and recognize the images, feature extraction techniques are applied. The paper reviews suitable brain tumor texture feature extraction techniques and classification methods. These methods are very useful to classify the benign and malignant tumors of brain. These techniques are more beneficial to extract the hidden information of an image, and this feature set gives high classification accuracy.


© 2019 IUP. All Rights Reserved.

Article Price : ₹ 50