Optimal Power Allocation Techniques using SVD for MIMOOFDM Multimedia Mobile Networks

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2015 by IJETT Journal
Volume-26 Number-5
Year of Publication : 2015
Authors : Mittu. M, Sangeeta T.R, Avinash Manu Aravindan
  10.14445/22315381/IJETT-V26P242

MLA 

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.

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Keywords
MIMO, OFDM, Singular Value decomposition, Water Filling, QoS Constraints.