Optimal Power Allocation Techniques using SVD for MIMOOFDM Multimedia Mobile Networks
Citation
Mittu. M, Sangeeta T.R, Avinash Manu Aravindan"Optimal Power Allocation Techniques using SVD for MIMOOFDM Multimedia Mobile Networks", International Journal of Engineering Trends and Technology (IJETT), V26(5),239-245 August 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Energy efficiency in MIMO-OFDM technology is one of the hot topics in mobile multimedia mobile communication. An energy efficient power allocation for MIMO-OFDM systems using Singular Value Decomposition (SVD) of channel matrix is taken as reference for the development of this article. SVD of the channel matrix is computed for each MIMO sub-channel for all sub-carriers. In the reference article a marginal probability density function (pdf) based technique is used to calculate the optimal power allocation threshold. This method involves complex integration requiring a lot of computing recourses. A closed form solution for threshold calculation equation is non-existing in many scenarios. Another limitation of the existing method is that this does not guarantee Shannon Capacity. A simplified power allocation using well known Water Filling technique is proposed as an alternative. In water filling method, more power is allocated to channels with higher gain, maximizing total capacity with a peak power constraint. A closed form solution for power allocation threshold using water filling at each sub-channel in all OFDM sub-carriers is derived. A “2D” water filling algorithm considering all the sub-channels in all OFDM sub-carriers is derived to further enhance the capacity and thereby the energy efficiency. The advantage of water filling methods is that these can guarantee Shannon capacity. The effective capacity and energy efficiency using average power allocation, water-filling power allocation and “2D” water filling algorithms has been simulated. The comparison shows significant improvement in effective capacity and energy efficiency using the proposed methods compared to the traditional average power allocation.
References
[1] Xiaohu Ge, Xi Huang, Yuming Wang, Min Chen, Qiang Li, Tao Han and Cheng-Xiang Wang, “Energy-Efficiency Optimization for MIMO-OFDM Mobile Multimedia Communication Systems With QoS Constraints”, IEEE Transactions On Vehicular Technology, Vol. 63, no. 5, June 2014.
[2] Laura Cottatellucci and M´erouane Debbah, “On the capacity of MIMO Rice channels”, 42nd Annual Alletron Conference on Communication, Control and Computing, Sep. 2004
[3] http://en.wikipedia.org/wiki/Singular_value_decomposition
[4] Kirk Baker, “Singular Value Decomposition Tutorial”, Assignment for NLP Seminar
[5] Ove Edfors, Magnus Sandell, Jan- Jaap van de Beek, Sarah Kate Wilson and Per Ola Borjesson, “OFDM Channel Estimation by Singular Value Decomposition”, Vehicular Technology Conference, 1996, IEEE 46th, Volume:2.
[6] H. P.Kalola and K. R.Parmar, “Optimal Power Allocation Based On Singular Value Decomposition of MIMO Channel Matrix”, Journal Of Information, Knowledge And Research In Electronics And Communication Engineering, Volume -02, Issue -02
[7] Leonid Razoumov and Robert R. Miller, “Power Allocation Under Transmitter Channel Uncertainty and QoS Constraints: Volumetric Water-Filling Solution”, Journal Of Communications, Vol. 7, No. 9, September 2012.
[8] S. K. Jayaweera and H.V Poor, “MIMO Capacity Results for Rician Fading Channels”, Global Telecommunications Conference, 2003. GLOBECOM ?03 (Volume:4), Dec 2003.
[9] Laura Cottatellucci and M´erouane Debbah, “On the capacity of MIMO Rice channels”, 42nd Annual Alletron Conference on Communication, Control and Computing, Sep. 2004
[10] Nisha Achra, Garima Mathur and Prof. R.P. Yadav, “Performance Analysis of MIMO OFDM System for Different Modulation Schemes under Various Fading Channels”, International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 5, May 2013
[11] P. Venkateswarlu, R. Nagendra, “Channel Estimation in MIMO-OFDM Systems”, International Journal of Engineering Trends and Technology (IJETT) – Volume 15 Number 5 - Sep 2014
Keywords
MIMO, OFDM, Singular Value decomposition, Water Filling, QoS Constraints.