• Rohit Kumar Pandey
• Prof. Sandeep Shrivastava

In a cellular network, the demand for high throughput and reliable transmission is increasing in large scale. One of the architectures proposed for 5G wireless communication to satisfy the demand is Massive MIMO system. The massive system is equipped with the large array of antennas at the Base Station (BS) serving multiple single antenna users simultaneously i.e., number of BS antennas are typically more compared to the number of users in a cell. The advantages of massive MIMO can be achieved only if Channel State Information (CSI) is known at BS uplink and downlink operate on orthogonal channels - TDD and FDD modes. Depending on slow/fast channel fading conditions, several authors suggested adaptive LMS, RLS and NLMS based channel estimators, which either require statistical information of the channel or are not efficient enough in terms of performance or computations. In order to overcome the above effects, the work focuses on the QR-RLS based channel estimation method for cell free Massive MIMO systems.

Massive MIMO, Channel State Information, Square Root-Recursive Least Square (QR-RLS)

"Performance Analysis of Massive 5G MIMO Systems with QR-RLS based Channel Estimation Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.129-133, June 2019, Available :http://www.jetir.org/papers/JETIR1908633.pdf

"Performance Analysis of Massive 5G MIMO Systems with QR-RLS based Channel Estimation Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp129-133, June 2019, Available at : http://www.jetir.org/papers/JETIR1908633.pdf