MIMO System for Next Generation Wireless Communication

Md. Akkas Ali

Abstract


It is well known that Multiple Input-Multiple Output systems enhance the spectral efficiency significantly of wireless communication systems. However, their remarkable hardware and computational burden hinders the wide deployment of such architectures in modern systems. It is a big challenge to reduce hardware complexity, use power with flexible capacity, data rate and bit error rate for the MIMO technology. In this paper we give a theoretical overview of several important theoretical concepts which is related to MIMO. The main part of this thesis can be considered as a most efficient decision for highest capacity with the reasonable BER performance. Hence we came up with an idea to write this thesis paper where we investigated the techniques which we can utilize in order to increase capacity (Bit/s/Hz) and hence provide the less BER in MIMO system. For this system we use Hybrid selection/Maximal-ratio transmission technique over a faded correlated MIMO quasi-static channel. Here faded correlated channel has the ability to carry high capacity data and HS/MRT technique minimizes the BER of system. For this system we use MSK modulation technique which reduces the complexity at transmission side. In practically, For more complexity free in this technique excludes the up converter, amplifier and filtered stage which also alleviate the cost. In this paper at first we try to focus the main important related techniques used in MIMO with the advantages and drawbacks. Then we review the MIMO system from the several past paper works and then we compare the performance of this technique. From this comparison result and using best technique we suggest a future work which will give the best performance. Finally, we describe the technique which we used in our suggested work.


Keywords


Multiple Input-Multiple Output, BER Performance, Wireless Communication, Capacity Improvement of MIMO, SNR Improvement with BER.

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ISSN: 1694-2507 (Print)

ISSN: 1694-2108 (Online)