Performance of adaptive MIMO switching for cognitive MC-CDMA system

The future 5G wireless network will be identified by flexibility design, high combination of services, and higher data rate. In this treatise, we present the performance evaluation physical layer design for multi-carrier code-division-multiple-access (MC-CDMA) system for cognitive radio network (CRN...

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Vydáno v:	Cluster computing Ročník 22; číslo Suppl 4; s. 7723 - 7731
Hlavní autoři:	Leela, S., Vishvaksenan, Kuttathati Srinivasan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.07.2019 Springer Nature B.V
Témata:	Adaptive systems Antennas Bandwidths Code Division Multiple Access Cognitive radio Communication Computer Communication Networks Computer Science Iterative methods MIMO communication Operating Systems Performance enhancement Performance evaluation Processor Architectures Receivers & amplifiers Sensors Signal to noise ratio Spacetime Spectrum allocation Transmitters Wireless communications Wireless networks Minimum-mean-square-error(MMSE) estimation Multi-user detection(MUD) Code-division multiple-access(CDMA) Zero-forcing algorithm(ZF) BCJR decoder Maximum likely-hood detection(ML)
ISSN:	1386-7857, 1573-7543
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Abstract	The future 5G wireless network will be identified by flexibility design, high combination of services, and higher data rate. In this treatise, we present the performance evaluation physical layer design for multi-carrier code-division-multiple-access (MC-CDMA) system for cognitive radio network (CRN) employing link adaptive multiple-input multiple- output (MIMO). CRN in conjunction with MIMO promises to achieve massive amelioration in system bandwidth. We consider link adaption scheme (LAS) which will select modulation scheme and MIMO profile based on channel parameters. CRN is a device in wireless communication which can sense the idle unused spectrum and allocate the spectrum dynamically to base station. We utilize sub-band frequency of CRN for multi-carrier communication and to extract for user-specific spreader in CDMA system. Further, we realize iterative decoder at the receiver to achieve better error-rate performance for CRN based MIMO MC-CDMA system with less signal-to-noise ratio (SNR). Furthermore,We study the performance of adaptive MIMO scheme with CRN defined MC-CDMA for Stanford University Interim channel model specifications. We discern through computer simulations that CRN based MC-CDMA system with adaptive MIMO scheme achieves significant performance enhancement both in error-rate and data rate.
AbstractList	The future 5G wireless network will be identified by flexibility design, high combination of services, and higher data rate. In this treatise, we present the performance evaluation physical layer design for multi-carrier code-division-multiple-access (MC-CDMA) system for cognitive radio network (CRN) employing link adaptive multiple-input multiple- output (MIMO). CRN in conjunction with MIMO promises to achieve massive amelioration in system bandwidth. We consider link adaption scheme (LAS) which will select modulation scheme and MIMO profile based on channel parameters. CRN is a device in wireless communication which can sense the idle unused spectrum and allocate the spectrum dynamically to base station. We utilize sub-band frequency of CRN for multi-carrier communication and to extract for user-specific spreader in CDMA system. Further, we realize iterative decoder at the receiver to achieve better error-rate performance for CRN based MIMO MC-CDMA system with less signal-to-noise ratio (SNR). Furthermore,We study the performance of adaptive MIMO scheme with CRN defined MC-CDMA for Stanford University Interim channel model specifications. We discern through computer simulations that CRN based MC-CDMA system with adaptive MIMO scheme achieves significant performance enhancement both in error-rate and data rate.
Author	Vishvaksenan, Kuttathati Srinivasan Leela, S.
Author_xml	– sequence: 1 givenname: S. surname: Leela fullname: Leela, S. email: ss.leela@yahoo.com organization: Department of Electrical Engineering, Sastra University – sequence: 2 givenname: Kuttathati Srinivasan surname: Vishvaksenan fullname: Vishvaksenan, Kuttathati Srinivasan organization: Department of ECE, SSN College of Engineering
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Cites_doi	10.1109/WCNC.2007.340 10.1109/GLOCOM.2011.6133923 10.1007/s10586-017-0831-6 10.1109/TWC.2007.060907 10.1016/j.compeleceng.2016.01.004 10.1016/j.compeleceng.2015.11.002 10.1109/ACCESS.2016.2596774 10.1109/TVT.2007.907317 10.1109/26.486616
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Keywords	Minimum-mean-square-error(MMSE) estimation Multi-user detection(MUD) Code-division multiple-access(CDMA) Zero-forcing algorithm(ZF) BCJR decoder Maximum likely-hood detection(ML)
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SubjectTerms	Adaptive systems Antennas Bandwidths Code Division Multiple Access Cognitive radio Communication Computer Communication Networks Computer Science Iterative methods MIMO communication Operating Systems Performance enhancement Performance evaluation Processor Architectures Receivers & amplifiers Sensors Signal to noise ratio Spacetime Spectrum allocation Transmitters Wireless communications Wireless networks
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