K.Deepa, M. RajKumari, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamilnadu, India.
DOI : 01.0401/ijaict.2014.01.09
International Journal of Advanced Information and Communication Technology
Received On : March 10, 2014
Revised On : April 21, 2014
Accepted On : May 15, 2014
Published On : June 05, 2014
Volume 02, Issue 02
Pages : 049-052
Abstract
The water filling algorithm provides solution with the help of channel state information. MIMO is a promising high data rate integrates technology. It is well known the aptitude of MIMO can be significantly enhanced by employing a proper power budget allocation in wireless cellular network. In this paper the water filling algorithm has been implemented for allocating the power to the MIMO channels for enhancing the capacity of the MIMO network. The singular value decomposition and water filling algorithm have been employed to measure the performance of MIMO OFDM integrated system. MIMO is a promising high data rate interface technology. It is well known the capacity of MIMO can be significantly enhanced by employing a proper power budget allocation in wireless cellular network. When Nt transmit and Nr represented antennas are employed, outage capacity is increased. In MIMO OFDM we transmit different stream of data through different antennas. We show that as we increase the power budget in the water filling algorithm the mean capacity of the system increased. The capacity and SNR performance for SISO and MIMO system without and with water filling algorithm are also been demonstrated for comparison.
Keywords
Water filling technique, MIMO-OFDM, Cognitive radio.
Cite this article
K.Deepa, M. RajKumari, “Power Allocation Schemes for MIMO-OFDM Based Cognitive Radio Systems Based on Water Filling” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.049-052, June 05, 2014.
Copyright
© 2014 K.Deepa, M. RajKumari. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.