SOLANKI MITESH SOLANKI
@marwadiuniversity.ac.in
ASSISTANT PROFESSOR
Marwadi University
RESEARCH, TEACHING, or OTHER INTERESTS
Electrical and Electronic Engineering, Engineering, Electrical and Electronic Engineering, Electrical and Electronic Engineering
Scopus Publications
Scholar Citations
Scholar h-index
Scopus Publications
Aryavardhan Sharma and Mitesh Solanki
IEEE
Agricultural production constitutes the backbone of the Indian economy, so modernization is essential. The motivation for this paper comes from developing countries, much of which depend on agriculture and climate conditions. Internet of Things (IoT) technology is played a key role in overcoming the backwardness of traditional agriculture, improving crop production, preventing crop damage and efficiently using water. This paper proposes the deployment of a smart irrigation system based on portable prototypes using capacitive soil sensors based on qualitative designs and sensory data collection methods from agricultural fields. Sensors are connected to the Internet via wirelessly in this case. Through wireless sensor nodes, data from the sensors is sent to the cloud. The IoT frameworks analyze and process the collected data. This is followed by regular notifications being sent to the farmer's mobile phones or Application Programming Interfaces (API) application. Changing soil temperatures and moisture can be tracked by farmers. This can prevent unnecessary water waste. In this paper, we discuss various experiments conducted in this context and present a comparatively low-cost wireless irrigation system.
Mitesh Solanki and Shilpi Gupta
Inderscience Publishers
Mitesh Solanki and Shilpi Gupta
Inderscience Publishers
Mitesh Solanki and Shilpi Gupta
Springer Nature Singapore
Mitesh Solanki and Shilpi Gupta
Springer Nature Singapore
Mitesh Solanki and Shilpi Gupta
Informa UK Limited
ABSTRACT Low-complexity neighbourhood search algorithms for a massive multiple-input multiple-output (MIMO) wireless system has fascinated recent research attention. It performs iterative searches in a constrained maximum-likelihood (ML) space for the solution vector. However, they drive an inversion of large-dimensional matrices with an enormous amount of computations resulting in them becoming practically infeasible. It motivates for development of low-complexity matrix-inversion-free data detection algorithm that is proficient in achieving near-optimal performance in an unconstrained ML space. Using these concepts and the conjugate gradient (CG) approach, this article proposes the computationally efficient CG-based likelihood ascent search (CGLAS) detector. A CGLAS detection algorithm is proposed to achieve a fast update vector within unconstrained ML space in conjugate descent direction with few iterations. Simulation results demonstrate that this robust detection algorithm exerts more influence rather than other recent state-of-the-art detection algorithms that achieve much better performance for massive MIMO systems with superior running time efficiency.
Mitesh S. Solanki
Springer Singapore
Mitesh S. Solanki and Shilpi Gupta
Springer International Publishing
Paresh M. Dholakia, Sanjay Kumar, C.H. Vithlani, and Mitesh Solanki
IEEE
Many wireless networks are rapidly become part of our daily life. However, range and data rate in wireless devices are limited. One method is to use Multiple-Input Multiple-Output (MIMO) communication system to overcome these limitations. The multiple antennas allow MIMO systems to perform diversity coding (space-time coding), and spatial multiplexing. Beamforming consists of transmitting the same signal with different gain and phase (called weights) over all transmits antennas such that the receiver signal is maximized. Diversity consists of transmitting a single space-time coded stream through all antennas. Spatial multiplexing increases network capacity by splitting a high rate signal into multiple lower rate streams and transmitting them through the different antennas. The results of using these MIMO techniques is higher data rate or longer transmit range without requiring additional bandwidth or transmit power. This paper presents a detailed study of diversity coding for MIMO systems. Different space-time block coding (STBC) schemes including Alamouti's STBC for 2 transmit antennas as well as orthogonal STBC for 3 and 4 transmit antennas are explored. Finally, these OSTBC techniques are implemented in MATLAB and Simulink. Performance analysis is carried out and system results are observed by transmitting mp3 audio clip using QPSK, 16-QAM, and 64-QAM modulation schemes in Rayleigh fading distributions.
Mitesh S. Solanki, Paresh M. Dholakia, and Kargathara Sunera
IEEE
Today's wireless communication system demands a sharing of multimedia information at higher data rate and constant connectivity for efficient multimedia information transmission. One of the possible solutions to fulfill theses requirements is adaptive modulation technique. As user in mobility moves towards base station or access point user's device receive more power so higher order modulation schemes are possible with good signal-to-noise ratio (SNR). At the same time there are changes in signal quality because of changing SNR due to movements. Due to that, also quality of services (QoS) is also affected. According to the changing SNR if modulation schemes are changing then it is possible to maintain constant bit error rate (BER). In this paper we have used the adaptive modulation concept in the Air Interface for Fixed broadband Wireless Access system which is a WiMAX IEEE 802.16 model with multiple antenna system and multicarrier modulation (OFDM). We have implemented and simulated the model with real time changing SNR (which indicates movement) simultaneously changing the modulation scheme according to SNR. In the results we observed the SNR vs. BER plots and real time information (image) on different modulation scheme which is used in the adaptive scheme with high and low SNR values. From the plot of the SNR vs. BER we found the constant BER which satisfies the objective.