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M.Tech / M.E / PhD Thesis | Communication or Media Studies | India | Volume 7 Issue 5, May 2018
Hybrid Multiple-Input Multiple-Output OFDM Index Modulation for 5G Wireless System
Dr. K. O. Joesph | G. Valarmathy [2] | A. Rajeshwari
Abstract: - Multiple-input multiple-output (MIMO) based index modulation has the advantage of high data rate and low complexity transmission and has great attention now a days. At the same time due to invention of digital video broadcasting 16-QAM and 64-QAM schemes are widely used in wireless systems. In this paper we introduce a novel low-complexity signal detector enabled multiple-input multiple-output (MIMO) detector with IM systems, suitable for efficient low complexity system with tolerable error rate. The actual IM methods has no diversity gain which causes a significant reduction in the system performance. In this paper to eliminate the bad effects of the channel assignment of the IM, novel ML based MIMO systems with index modulation technique (ML-MIMO-IM) is proposed. Here the efficient hybrid ML sub detector system is used to achieve superior performance compared to the conventional MIMO detectors. The performance of the proposed design is close to the existing MIMO scheme, while resulting in a significantly lower complexity. The efficiency of MIMO over high order constellations are verified through MATLAB BER simulation and complexity reduction is also proved to be an efficient one.
Keywords: Low complexity, MIMO, spatial modulation, index modulation, bit error rate, ML detector etc
Edition: Volume 7 Issue 5, May 2018,
Pages: 760 - 763
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Downloads: 111
M.Tech / M.E / PhD Thesis, Communication or Media Studies, India, Volume 4 Issue 8, August 2015
Pages: 612 - 614Channel Estimation and Equalization Using DF Relay
Silpa S Kishore [2] | Jubin Mathew [3]
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Research Paper, Communication or Media Studies, Sudan, Volume 5 Issue 6, June 2016
Pages: 405 - 408The Impact of Cyclic Prefix on Capacity for LTE-A Using Open Loop Spatial Multiplexing
Emad Aldeen Abd Allah Omer [2] | Mohammed Abakrer Hussian