ORCID Profile
0000-0002-8668-1729
Current Organisation
Institute of Chemistry, Far Eastern Branch of the Russian Academy of Sciences
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Publisher: IEEE
Date: 09-2010
Publisher: University of Trunojoyo Madura
Date: 10-04-2018
Abstract: In this paper, we develop the optimal relay design for multiple-input multiple-output (MIMO) multi wireless relaying networks, when we consider the problem of zero-forcing processing is studied for multi-input multi- output multi-relay communication system in which MIMO source-destination pairs communicate simultaneously. It is assumed that due to severe shadowing effects which communication links can be established only with the aid of relay node. The aim is to design the relay lification matrix to maximize the achievable communication sum- rate through the relay, which in general lifying-and- forward relaying mechanisms are considered. The zero forcing (ZF) algorithm has studied for a MIMO multi relay network by comparing its performance in terms of bit- error-rate (BER) at destination algorithm. In particular, we investigate its performance with and without using the ZF at the relay. Our results demonstrate that the system performance can be significantly improved by using the ZF algorithm at relay (optimal relay ZF algorithm)
Publisher: Springer Science and Business Media LLC
Date: 16-08-2012
DOI: 10.1186/1687-6180-2012-174
Abstract: In this article, we study the optimal structure of the source precoding matrix and the relay lifying matrices for multiple-input multiple-output (MIMO) relay communication systems with parallel relay nodes. Two types of receivers are considered at the destination node: (1) The linear minimal mean-squared error (MMSE) receiver (2) The nonlinear decision feedback equalizer based on the minimal MSE criterion. We show that for both receiver schemes, the optimal source precoding matrix and the optimal relay lifying matrices have a beamforming structure. Using such optimal structure, joint source and relay power loading algorithms are developed to minimize the MSE of the signal waveform estimation at the destination. Compared with existing algorithms for parallel MIMO relay networks, the proposed joint source and relay beamforming algorithms have significant improvement in the system bit-error-rate performance.
Publisher: IEEE
Date: 10-2011
Publisher: IEEE
Date: 11-2011
Publisher: Springer Science and Business Media LLC
Date: 15-09-2014
DOI: 10.1186/1687-1499-2014-151
Abstract: In this paper, we develop the optimal source precoding matrix and relay lifying matrices for non-regenerative multiple-input multiple-output (MIMO) relay communication systems with parallel relay nodes using the projected gradient (PG) approach. We show that the optimal relay lifying matrices have a beamforming structure. Exploiting the structure of relay matrices, an iterative joint source and relay matrices optimization algorithm is developed to minimize the mean-squared error (MSE) of the signal waveform estimation at the destination using the PG approach. The performance of the proposed algorithm is demonstrated through numerical simulations.
Publisher: IEEE
Date: 10-2010
Location: No location found
No related grants have been discovered for Apriana Toding.