Abstract
The 3GPP (Third Generation Partnership Project) introduced Long Term Evolution (LTE), which is a 4G wireless technology used for broadband, derived from the 2G and 3G data technologies. LTE provides augmented capacity and speed. Among the different methods used for enhancing the performance of an LTE system is link adaptation, whereby the modulation, coding and other signal and protocol parameters are matched to the radio link conditions, leading to an improvement in transmission rates and/or bit error rates. This paper performs a comparative analysis of Link Adaptation with transmit diversity using 2 × 2 Multiple Input Multiple Output (MIMO) as well as different Channel Estimation Techniques. Link Adaptation is performed at the modulation level where a particular modulation index is selected based on the Signal-to-Interference Noise Ratio (SINR) value to obtain the maximum possible data rate for a target BER. Results show that a better performance is achieved using slot average algorithm.
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Nokia-Siemens Networks: LTE-Advanced - The advanced LTE toolbox for more efficient delivery of better user experience. Technical White Paper (2011)
Gartner Forecasts 59 Percent Mobile Data Growth Worldwide in 2015 http://www.gartner.com/newsroom/id/3098617. Accessed 15 August 2016
The race to 5G: Inside the fight for the future of mobile as we know it http://www.techrepublic.com/article/does-the-world-really-need-5g/. Accessed 15 August 2016
3GPP: Technical Specifications Rel.8 (2009)
Khan, F.: LTE for 4G Mobile Broadband. Cambridge University Press, New York (2009)
3GPP: LTE Release 12 and Beyond (2012). http://www.3gpp.org/IMG/pdf/lte_africa_2013_3gpp_lte_release_12.pdf. Accessed 15 August 2015
3GPP: LTE – Advanced (2013). http://www.3gpp.org/technologies/keywords-acronyms/97-lte-advanced. Accessed 15 August 2015
Shayea, I., Ismail, M., Nordin, R.: Downlink spectral efficiency evaluation with carrier aggregation in LTE-advanced system employing adaptive modulation and coding schemes. In: IEEE 11th Malaysia International Conference on Communications (2013)
Sahlin H.: Channel prediction for link adaptation in LTE uplink. In: IEEE Vehicular Technology Conference (2012)
Mustafa, I.S., Chee, K.N., Nor, K.N., Borhanuddin, M.A., Aduwati, S.: CQI-MCS mapping for green LTE downlink transmission. Asia-Pac. Adv. Netw. J. 36(3), 74–82 (2013)
Maina, I.: Channel quality indicator feedback in long term evolution (LTE) system. IOSR J. Electron. Commun. Eng. 9(2), 14–19 (2014)
Mohammad, T.K., Nafiz, I.B.H., Nayeemul, M.H., Shah, A., Musfiqur, R.: Downlink SNR to CQI mapping for different multiple antenna techniques in LTE. Int. J. Inf. Electron. Eng. 2(5), 757–760 (2012)
Zarrinkoub, H.: Understanding LTE with Matlab. Wiley, New York (2014)
Maximizing LTE performance through MIMO optimization. http://rfsolutions.pctel.com/artifacts/MIMOWhitePaperRevB-FINAL.pdf. Accessed 15 August 2015
Ravindhra, K., Manohar, S.S., Govindaswamy, U.S.: Long term evolution downlink physical layer simulation in matlab and simulink. In: International Journal of Future Computer and Communication, vol. 1(2) (2012)
Moghaddam, S.S., Saremi, H.: Joint LS estimation and ML detection. Telecommunication Infrastructure Company, Iran (2011)
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Sheik Mamode, M.I., Fowdur, T.P. (2017). Performance Analysis of Link Adaptation with MIMO and Varying Channel Estimation Schemes. In: Fleming, P., Vyas, N., Sanei, S., Deb, K. (eds) Emerging Trends in Electrical, Electronic and Communications Engineering. ELECOM 2016. Lecture Notes in Electrical Engineering, vol 416. Springer, Cham. https://doi.org/10.1007/978-3-319-52171-8_26
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DOI: https://doi.org/10.1007/978-3-319-52171-8_26
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