Abstract

Problem statement: Today's wireless technologies just won't get us to the hyper connectivity of uninterrupted access from any mobil e device with unlimited bandwidth at real-time speeds. This is due to the low data throughput and scarcity in spectrum. Approach: Under the condition of uncorrelated antenna elements, capacit y of the Multiple Input Multiple Output (MIMO) system can be increased linearly with the number of antennas. But in practice correlation among the antenna elements exists and it can reduce the chann el capacity. The effect of correlation can be reduced by using spatial diversity techniques. Results: The capacity of various MIMO configurations were analyzed and simulated. The effect of capacity of MIMO system due to correlation was presented with and without Eigen value distribution of the ch annel. The spatial correlation of dipole array and rectangular micro strip patch arrays were simulated with respect to various element spacing. Conclusion/Recommendations: The simulation results showed that, the capacity o f MIMO system without spatial correlation was higher than with co rrelation effect. By comparing, the rectangular micro strip patch array has low correlation than di pole array and provides high capacity which can be utilized for high data rate applications.

Highlights

  • Wireless communication is rapidly becoming the most popular solution to deliver voice and data services due to flexibility and mobility that can be offered at moderate infrastructure costs

  • A 4×4 Multiple Input Multiple Output (MIMO) system has been considered to show the effect on capacity

  • For the same 4×4 MIMO system, the Eigen value distribution with correlation has been plotted in the Fig. 6b

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Summary

INTRODUCTION

Wireless communication is rapidly becoming the most popular solution to deliver voice and data services due to flexibility and mobility that can be offered at moderate infrastructure costs. Spatial Diversity- Same data is coded and transmitted through different antennas, which effectively doubles the power in the channel This improves Signal to Noise Ratio (SNR). If these signals arrive at the receiver antenna array with sufficiently different spatial to exist because of limited angular spread and dominant directions of arrival or departure To account for this it is necessary to include the correlation of the channel matrix elements in a proper way. Capacity of MIMO systems: In a MIMO system with in the receive and transmit arrays by at least 0.4 λ would small number of antennas, the capacity grows linearly ensure less correlation While this does not present a with the number of antenna elements, rather than problem in a base station, accommodating multiplelogarithmically.

MATERIALS AND METHODS
RESULTS AND DISCUSSION
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