Performance Evaluation of Adaptive MIMO-OFDM System Model for Wireless Networks

Abstract

Enormous growth of wireless technologies and research trends in networking has developed many useful applications. Wireless networks with various protocols and standards are huge in demand because of the expansion of internet of things (IoT). All wireless networks demand for high data rate, low energy consumption, higher throughput, more reliability, better quality of services (QoS) and quality of information (QoI). This paper presents multiple in multiple out (MIMO) orthogonal frequency division multiplexing (OFDM) system model for wireless networks. MIMO-OFDM provides better reliability, high data rate and lower interference. Lower modulation techniques perform better in noisy environment but give lower data rate. Higher data rate can be achieved using higher modulation techniques but it increases bit error rate (BER) in noisy channel. So, there is a trade-off between higher data rate and BER which affects the overall performance of the system. Proposed system model includes adaptive algorithm that selects modulation technique according to the condition of wireless channel. Proposed model selects lower modulation technique when channel is noisy or unreliable and switch over from lower to higher modulation technique when channel is static and stable. Simulation results show that system model handles trade-off between data rate and BER.