In this paper, based on the iterative water-filling (IWF) and primal-dual approaches, we proposed efficient algorithms to maximize the sum-rate and optimize the input distribution policy for the multi-user multiple input multiple output multiple access channels (MU-MIMO MAC) with concurrently accessing of the cognitive radio (CR) network. For the proposed IWF-CR algorithm, with more complicated...

In the paper we have discussed the proposed water filling algorithm which has been used for allocating the power to the MIMO channels so as to enhance the capacity of the MIMO network. Here we present a theoretical framework for allocating the power here we have considered a 4x4 MIMO system the system is assumed to be MIMO-OFDM and the channel is assumed to be Flat as under this the convolution...

This paper derives a rigorous performance bound for the constant-power water-filling algorithm for ISI channels with multicarrier modulation and for i.i.d. fading channels with adaptive modulation. Based on the performance bound, a very-low complexity logarithm-free power allocation algorithm is proposed. Theoretical worstcase analysis and simulation show that the approximate water-filling sche...

In this paper, we present a novel and computationally efficient water filling algorithm for multiuser in cognitive radio network (CRN). This algorithm is based on the multiuser water filling theorem and persuades the subcarrier allocation for a multiple access system. This approach exaggerates the total bit rate under the constraints of user-individual power budgets. Acquiring Energy Efficiency...

This paper investigates optimal power control in a frequency selective multiuser interference network. The power control problem is modeled as a non-cooperative game. The existence and uniqueness of a Nash equilibrium in the game is established, and an iterative water-filling algorithm is proposed to efficiently reach the Nash equilibrium. It is shown that the Nash equilibrium point corresponds...

It is highly possible that future wireless communication systems will adopt ultra-dense deployment to cope with the increasing demand on spectrum efficiency and energy efficiency. The pivotal issue to achieve the potential benefits of the ultra-dense network is to deal with the complex inter-site interference. In this paper, in order to maximize the spectrum efficiency of the system, we first m...

In this thesis, we develop an subcarrier transmission suboptimal power allocation algorithm and an underlay subcarrier transmission optimal power allocation algorithm for the orthogonal frequency division multiplexing (OFDM)-based cognitive radio (CR) systems with different statistical interference constraints imposed by different primary users (PUs). Given the fact that the interference constr...

This paper proposes structural features for content-based image retrieval (CBIR), especially edge/structure features extracted from edge maps. The feature vector is computed through a “Water-Filling Algorithm” applied on the edge map of the original image. The purpose of this algorithm is to efficiently extract information embedded in the edges. The new features are more generally applicable th...

This paper proposes structural features for content-based image retrieval (CBIR), especially edge/structure features extracted from edge maps. The feature vector is computed through a “Water-Filling Algorithm” applied on the edge map of the original image. The purpose of this algorithm is to efficiently extract information embedded in the edges. The new features are more generally applicable th...