Capacity Analysis and Linear Detection in Massive MIMO for 5G Wireless Systems
Haresh L. Judal1, Kishor G. Maradia2

1Haresh L. Judal, Ph.D. Scholar, E & C Engineering Department, Gujarat Technological University Ahmedabd, Gujarat, India.
2Kishor G. Maradia, Professor& Head, E& C Engineering Department, Government Engineering College, Gandhinagar Sector 28, Gujarat, India.

Manuscript received on 03 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 July 2019 | PP: 2938-2943 | Volume-8 Issue-9, July 2019 | Retrieval Number: I8936078919/19©BEIESP | DOI: 10.35940/ijitee.I8936.078919

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Abstract: Multiple Input Multiple Output (MIMO) is an attractive air interface solution which is used in the 4th generation wireless networks to achieve higher data rate. With a very large antenna array in Massive MIMO the capacity will increase drastically. In this paper channel capacity comparison for MIMO using known Channel State Information (CSI) and unknown CSI has been carried out for a higher number of antennas at transmitter and receiver side. It has shown that at lower SNR known CSI will give better performance compared to unknown CSI. At higher SNR known CSI and unknown CSI will provide similar results. Capacity comparison has been evaluated with help of MATLAB for known CSI and unknown CSI from a small number of antennas to hundred of antennas. Also, the performance evaluated with MATLAB simulation of linear detectors zero-forcing (ZF) and maximum ratio combining (MRC) method for large number of antennas at Base station (BS) which are serving a small number of single antenna users. Performance is evaluated in terms of Symbol Error Rate (SER) for ZF and MRC, and results show that ZF will outperform MRC. It has also been analyzed that increasing the antennas at BS for a small number of users will also help to reduce SER.
Keywords: MIMO, ZF, MRC, BS, SER

Scope of the Article: MIMO Antenna