Open AccessImproving MIMO system throughput using power transmission scheduling
Author(s) -
Khaleelahmed Sk,
Nandhanavanam Venkateswararao,
Varshasree Kn,
Praveen V. Naidu
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.13097
Subject(s) - channel state information , throughput , computer science , transmitter , mimo , scheduling (production processes) , channel (broadcasting) , singular value decomposition , multipath propagation , power (physics) , bit error rate , electronic engineering , real time computing , algorithm , mathematical optimization , wireless , computer network , mathematics , telecommunications , engineering , physics , quantum mechanics
The main idea of this paper is to select the best power allocation throughput model by simulating the different power allocation theoretical modules in MIMO arbitrary multipath environment to address the effects of channel parameters on throughput. In general, power allocation techniques are used for minimizing the overall Bit Error Rate (BER). In this process, the channel estimation is usually done at the receiver by accessing the Channel State Information (CSI). The optimized system can be designed with respect to channel parameters so that it can be suitable for transmitter side during power allocation. The simulation analysis is carried out in NI LabVIEW and it is observed from the studies that the throughput results are as a function of received power. Under static system parameters, the relative throughput of the water filling (WF) power allocation model is found to be high efficient 15.74% when it is compared with the open loop zero-forcing (ZF) and it is 4.45 % with respect to inverse singular value decomposition (SVD) equal power allocation models.