PAPR reduction of MIMO-OFDM system with reduced computational complexity SLM scheme
Autor: | G. Thenmozhi, J. Karthika, M. Rajkumar |
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Rok vydání: | 2021 |
Předmět: |
010302 applied physics
Mobile radio Computational complexity theory Orthogonal frequency-division multiplexing Computer science ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology MIMO-OFDM 021001 nanoscience & nanotechnology Interference (wave propagation) 01 natural sciences Signal Reduction (complexity) 0103 physical sciences Computer Science::Networking and Internet Architecture Electronic engineering Fading 0210 nano-technology Computer Science::Information Theory |
Zdroj: | Materials Today: Proceedings. 37:2563-2566 |
ISSN: | 2214-7853 |
DOI: | 10.1016/j.matpr.2020.08.498 |
Popis: | Multiple input and multiple output orthogonal frequency division multiplexing (MIMO-OFDM) is a prominent technology for fourth generation mobile radio communication. OFDM is a special case of multi-carrier-modulation (MCM) technique that divides the high data rate input bit streams into large number of lower rate sub streams and each sub stream is transmitted over orthogonal subcarriers. The main advantage of MIMO-OFDM system is the efficient utilization of band width, multipath delay spread tolerance and mitigation of inter symbol interference (ISI) in frequency selective fading channels. However, the main drawback of MIMO-OFDM system is high peak to average power ratio (PAPR) for large number of sub carriers which causes serious degradation in performance. One of the well-known peak to average power ratio (PAPR) reduction schemes for MIMO-OFDM systems is selected mapping (SLM) scheme. In this work computational complexity of MIMO-OFDM system is reduced by adding mapping signal sequences to the OFDM signal sequences. It also increases the PAPR reduction performance of the MIMO-OFDM system. |
Databáze: | OpenAIRE |
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