Version 1
: Received: 26 July 2016 / Approved: 26 July 2016 / Online: 26 July 2016 (08:48:11 CEST)
Version 2
: Received: 9 August 2016 / Approved: 10 August 2016 / Online: 10 August 2016 (10:11:12 CEST)
How to cite:
Acharya, S. K. Analysis between Various Random MIMO systems Model On the Basis of Channel Capacity. Preprints2016, 2016070078. https://doi.org/10.20944/preprints201607.0078.v1
Acharya, S. K. Analysis between Various Random MIMO systems Model On the Basis of Channel Capacity. Preprints 2016, 2016070078. https://doi.org/10.20944/preprints201607.0078.v1
Acharya, S. K. Analysis between Various Random MIMO systems Model On the Basis of Channel Capacity. Preprints2016, 2016070078. https://doi.org/10.20944/preprints201607.0078.v1
APA Style
Acharya, S. K. (2016). Analysis between Various Random MIMO systems Model On the Basis of Channel Capacity. Preprints. https://doi.org/10.20944/preprints201607.0078.v1
Chicago/Turabian Style
Acharya, S. K. 2016 "Analysis between Various Random MIMO systems Model On the Basis of Channel Capacity" Preprints. https://doi.org/10.20944/preprints201607.0078.v1
Abstract
Finding a good MIMO system model also major issue in Wireless Communication system. It is facing with so many problem, one of the major problem is finding good system model in terms of capacity. In this paper, we analyze the channel capacity of various MIMO system model with some constant SNR level and outage probability. We establish a novel idea for MIMO system models as consider as 2N- MIMO system model with constant SNR and outage probability. The channel capacity ratio is presented here on the basis of 2N- MIMO channel capacity model. Analysis of various MIMO system model show that it is better to use NT×NR MIMO system model then two NT/2×NR/2 MIMO system model in terms of channel capacity but it is not good for higher value of NT×NR
Keywords
MIMO system Model, 2N– MIMO system model, Outage Probability, Channel Capacity Ratio (CCR)
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.