Improvement in Performance of GFDM based 5G Wireless System with Massive MIMO and Channel Coding

Abstract

In the realm of 5G wireless communication systems, non-orthogonal multiple access (NOMA) waveforms have emerged as highly promising candidates. Various NOMA waveforms such as FBMC, UFMC, and GFDM have gained significant attention due to their numerous advantages when compared to conventional OFDM systems. This paper delves into the examination of Bit Error Rate (BER) performance in the context of a Massive Multiple-Input, Multiple-Output (MIMO) based GFDM system for 5G technology. It explores the effects of different mapping techniques and filter roll-off factors. This approach amalgamates two advanced wireless communication technologies, Massive MIMO and GFDM, with the aim of harnessing their combined potential to elevate the performance and capacity of 5G communication systems. Massive MIMO contributes to substantial improvements in resilience against fading and interference, while GFDM offers superior frequency localization, reduced out-of-band emissions, and enhanced resource allocation flexibility when contrasted with traditional OFDM. The study demonstrates improved results, particularly when employing the optimal roll-off factor for the square cosine filter within the GFDM framework, and integrating channel coding techniques.