Performance Evaluation of Candidate Waveforms with Higher Order QAM for Massive MIMO System under Vehicular and Pedestrian Channels

Abstract

Future wireless technology is expected to come with a great improvement on data rate with bestservice quality. However, the number of subscribes to the emerging technology is increasing day to day. The capacity of future technologies should support massive number of users to achieve the demand of the subscribers. But the increasing number of customers for the upcoming wireless communication systems is meeting the demand for increasingly higher data rates while maintaining a consistent quality of service across the network. To address this issue, wireless communication systems have been utilizing multicarrier modulation schemes as opposed to single carrier modulation methods. A variety of modulation techniques and multicarrier strategies have been invented and integrated with Multiple Input Multiple Output system which is an essential part of modern cellular wireless networks. Multicarrier modulation techniques can effectively overcome channels that experience fading with several paths. Different multicarrier modulation techniques are proposed by different researchers to handle the customers need and to reduce the drawbacks of the existing system. The most recommended multicarrier modulation techniques areOrthogonal Frequency Division Multiplexing, Filtered Orthogonal Frequency Division Multiplexing, Universal Filtered Multi-Carrier and Filter Bank Multi Carrier. The effectiveness of these suggested multicarrier modulation methods is examined in this thesis using a variety of realistic communication channel models, including the Pedestrian A, Pedestrian B, Vehicular A, Vehicular B, Proposed Extended Pedestrian A, and Proposed Extended Vehicular A channel models. The performance metrics used for simulation are, signal to noise ratio versus bit error rate, Normalized frequency offset versus signal to interference ratio and Normalized time offset versus signal to interference ratio. The analysis is done for different higher order Quadrature amplitude modulation schemes like Quadrature amplitude modulation (4, 16, 64, 256, and 1024).According to result, Filter Bank Multi Carrier performs better than all other waveforms. Under those Quadrature amplitude modulation order with the channel model, the error making probability of Filter Bank Multi Carrier is lower. It is concluded that a higher Quadrature amplitude modulation order causes a higher bit error rate value. To accommodate a large number of users and Signal to Noise Ratio, greater Quadrature amplitude modulation order is a solution. The bit error rate value of Filter Bank Multi Carrier falls below 10-4for Signal to noise ratio greater than 35dB.