The IUP Journal of Telecommunications
Performance Evaluation of MIMO OFDM System Using Adaptive Modulation and Coding Technique

Article Details
Pub. Date : May, 2020
Product Name : The IUP Journal of Telecommunications
Product Type : Article
Product Code : IJTC20520
Author Name : Gyanender Kumar, Johnny Dogra
Availability : YES
Subject/Domain : Engineering
Download Format : PDF Format
No. of Pages : 10

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Abstract

The main idea behind Adaptive Modulation Coding (AMC) is to change the Modulation and Coding Schemes (MCS) dynamically within the subsequent frame and to adopt the overall spectral efficiency to the channel condition. The selection of correct MCS is done at the receiver end on the basis of observed channel condition under the information supplied to the transmitter in every time frame. A number of significant works have been carried out on understanding the time adaptation aspect in AMC protocols, and the challenges in these methods occurred when the dynamic transmission techniques in the wireless networks are used, which have multiple signal dimensions. In this paper, the performance analysis of AMC is done using evaluation of Long-Term Evolution (LTE) and by calculating the probability of Bit Error Rate (BER) under the Additive White Gaussian Noise (AWGN) wireless channel models. AMC model is constructed in MATLAB under Gaussian (AWGN) to analyze the performance in BER, data delay and throughput.


Description

The data rate is faster in wireless network by employing Multiple-Input and Multiple-Output (MIMO), because in MIMO, multiple antennas are used at the receiver and transmitter sides which make data transmission much faster by spatial diversity. In this way, MIMO systems are used for delivering high data rates on wireless communication (Yang et al., 2015). The capacity of a wireless network can be enhanced by increasing the number of antennas. There are basically two reasons for which wireless communication is used over the wired communication system. The first one is the multipath fading where signal strength changes due to various factors like buildings, loss of path because of attenuation and shadowing (Debels et al., 2016). The second benefit is the whole transmission media is air, but in wired system, the entire data is dependent on the transmission points which are at separate points. In MIMO system, multiple antennas allow the spatial diversity by employing the multiple antennas in a narrow multipath fading medium that are situated at some distance (Dey et al., 2016). The main feature of MIMO is diversity gain or capacity gain by which the signal fading can be removed. The main idea behind the development of MIMO is to improve the signal quality and the data rates using multiple transmitter and receiver antennas (L-pez-Benftez, 2016). The basic element of MIMO is space time coding. There are two basic features of space time coding: diversity and multiplexing. To attain the maximum performance, a relationship has to be maintained between diversity and multiplexing.


Keywords

Adaptive Modulation Coding (AMC), Additive White Gaussian Noise (AWGN), Delay, Long-Term Evolution (LTE)

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