Mimo antenna magnetic field reduction and efficient placement of lte for improved radiation control using mamrn

Abstract

The problem of radiation control and improvement of wireless transmission has been well studied. In this thesis towards the development of wireless transmission there are number of approaches available. However, they suffer to achieve higher performance in various parameters like throughput, delay and packet delivery ratio. The throughput of the LTE(Long Term Evolution) based system is depends on the antenna parameters. The throughput of the transmission is based on the antenna angle, structure, area of coverage, and so on. So it is necessary to design efficient antenna with the LTE system. Similarly, the design has to be performed in such a way to maximize the antenna gain. The selection of angle and magnetic field plays vital role in improving the transmission quality. All these has to be considered for the efficient transmission as well as in the radiation reduction. There are number of algorithms and antenna designs have been proposed earlier which would use variety of Antennas to improve the data transmission in wireless networks. However, they does not produced efficient result. To solve this issue, the Multiple Input Multiple Output (MIMO) antenna has been considered in this research. Further there are algorithms and designs developed with MIMO antenna to improve the performance. Still, the achievement of throughput performance is questionable. In this research, to improve the performance of data rate, different approaches has been proposed. First to improve the data rate, fuzzybased radiation Performances of the new solution have been tested and are compared with the existing model. The method receives the input data and identifies list of base stations. For each base station, the method estimates distance, number of antenna, SINR(Signal-to-Interference-plus-Noise Ratio)values. Based on this and fuzzy rules available, the method select a optimal base station. In the decision making stage, the method selects specific base station according to different parameters. In the defuzzification stage, the method estimates weight factor for the inputs considered. Finally a single antenna and magnitude has been selected based on the weight factors. From this analysis, it can be fulfilled that the proposed fuzzy logic based mobile communication provides the best quality output than without optimized test bed. newline