Abstract:
We have seen revolutionary changes over the last two decades, the way we communicate and get connected to the people, our homes, our offices and services world over. All this has been made possible due to the advancements in the wireless communication, broadband services, digital signal processing and digital circuit designs. In the last decade of 20th century mobile used to be a status symbol, which we can see everywhere today. It is more of a necessity than luxury now.
With the ever increasing user requirements of „on the move‟ triple play services the day is not far when we shall be asking for systems beyond 3G and 4G (LTE and LTE Advance). The solution to the above requirements and keeping in mind the spectrum and power scarcity, the direction will be towards Massive MIMO systems. This system will help improve spectrum and power efficiency and also increase the throughput, yet keeping the mobile handset with most of the processing load on the Base Station.
With every opportunity there are always associated constraints. In Multi User Massive MIMO the pilot contamination issue severely affects the system throughput by contaminating the Channel State Information. In this thesis this issue has been addressed with focus on mitigation using Inter cellular Interference Randomization Technique: Cell specific Scrambling. The purpose is to show that this technique performs well in Massive MIMO systems. Channel estimation using LS / MMSE / DFT is used. SER performances for various scenarios of interferer signal power and its channel condition have been studied. It is shown that using the proposed technique results in good Symbol Error Rate (SER) performance.
