Massive MIMO Receiver Design with Channel State Information

Muvvala Gopichand, Sampath Kumar, A. Mahesh Babu

Research output: Contribution to journalConference articlepeer-review

Abstract

In order to achieve an astounding data transfer rate, 5G Technology's is essential obligation, this is the primal reason while the world considers it as an pivotal active research topic, Amongst numerous techniques available to attain the transfer rate, opted Massive Multiple-Input Multiple-Output (MIMO) system receivers with respect to CSI assuming the mathematic computations and complex equations would be deduced in a primordial passion, is examined in this study. For the uplink, we show the possible transfer rate for both receivers with perfect and imperfect channel state information (CSI), considering that the base station (BS) deploys maximum ratio combining (MRC) or zero-forcing (ZF) receivers. Channel estimation is carried out by transmitting pilot symbols when there is insufficient information about the channel state to establish its properties. Additionally, the influence of channel state information on the power scaling rule is illustrated, and a numerical analysis for combiner is derived. In this study, we compare the competence of receivers under ideal and imperfect CSI. In case of perfect CSI, Value of data rate is 84 bits/sec/Hz for ZF receiver and 45 bits/sec/Hz. In case of imperfect CSI, Value of data rate is 60 bits/sec/Hz for ZF receiver and 37 bits/sec/Hz with number of antennas being 500 and number of pilot bits as 10.

Original languageEnglish
Article number012035
JournalJournal of Physics: Conference Series
Volume2571
Issue number1
DOIs
Publication statusPublished - 2023
Event2nd International Conference on Artificial Intelligence, Computational Electronics and Communication System, AICECS 2023 - Manipal, India
Duration: 16-02-202317-02-2023

All Science Journal Classification (ASJC) codes

  • General Physics and Astronomy

Fingerprint

Dive into the research topics of 'Massive MIMO Receiver Design with Channel State Information'. Together they form a unique fingerprint.

Cite this