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Abstract

A fast linear minimum mean sq. error (LMMSE) channel estimation methodology has been planned for Orthogonal Frequency Division Multiplexing (OFDM) systems as compared with the standard LMMSE channel estimation, numerical results show that the NMSE of the planned methodology is very close to that of the standard LMMSE methodology that\'s in addition verified by hypothesis. in addition, hypothesis shows that the performance of the planned methodology is type of identical thereupon of the standard LMMSE methodology in terms of bit error rate (BER).

In mobile worldwide ability for microwave access (WiMAX) or third Generation partnership project long evolution (3GPP-LTE), transmission virtual multiple input multiple output (MIMO) technology is adopted to perform abstraction  multiple access with two movable subscriber stations (PSSs), where each PSS has associate antenna. As two PSSs transmit at an equivalent time on identical orthogonal frequency division multiple access (OFDMA) resource blocks, the transmission capability square measure doubled.

Index Terms— Mobile TV, turbo code, Frequency-Division Multiplexing Access  pilot signal , broadcast cellular system. 

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Author Biography

V.S. Suresh Kumar, Dr. K. Ravi Kumar, Karpagam University, Coiambatore. Tamil University, Thanjavur

Research Scholar
How to Cite
Dr. K. Ravi Kumar, V. S. K. (2015). Optimum Hierarchical Modulations for OFDM Systems and Uplink Virtual MIMO Systems. International Journal of Emerging Trends in Science and Technology, 2(02). Retrieved from https://igmpublication.org/ijetst.in/index.php/ijetst/article/view/515

References

1. J.-C. Lin, “Least-squares channel estimation physical layer transport channels offer information transfer to Medium selective weakening channels,” IEEE Transactions on transport Technology, vol. 57, no. 6, pp. 3538–3550, 2010.
2. Z. Shi, H. Sun, C. Zhao, and Z. Ding, “Linear precoder improvement for ARQ packet Precoding for Multiuser MIMO. Wireless Communication Systems uplinks,” IEEE Transactions on Wireless Communications, vol. 7, no. 2, pp. 736–745, 2008.
3. H. Kawai, K. Higuchi, N. Maeda, et al., “Likelihood operate for QRM-MLD appropriate implementing public key cryptography on mobile computing devices multipath weakening channel,” IEICE Transactions on Communications,vol. E88-B, no. 1, pp. 47–57, 2005.
4. T.-J. Liang, W. Rave, and G. Fettweis, “Iterative joint solution to the combined problem of channel estimation and detection superimposed pilots in OFDM-WLAN,” in Proceedings of the IEEE International Conference on Communications (ICC ’06), vol. 7, pp. 3140–3145, Istanbul, Turkey, July 2014.
5. E. Bizzarri, A. S. Gallo, and G. M. Vitetta, “ space–time code (STC) is a method employed to improve the reliability of data transmission in wireless communication and MIMO OFDM,” in Proceedings of IEEE international Telecommunications Conference (GLOBECOM ’04), vol. 2, pp. 933–937, Dallas, Tex, USA, November-December 2006.
6. L. Hanzo, C. H. Wong, and M. S. Yee, adaptive Wireless Transceivers: digital 2G cellular systems such as Global System for Mobile Communications system Coded TDMA, CDMA, and OFDM Systems, Wiley-IEEE Press, Madison,Wis, USA, 2008.
7. S. Wang, S. Kwon, and B. K. Yi, “On enhancing OFDM is a modulation technique as well as multiplexing and modulation,” in Proceedings of IEEE International conference on Broadband multimedia system Systems and Broadcasting (BMSB ’08), pp. 1–6, Las Vegas, Nev, USA, March-April 2013.
8. N. Souto, F. A. B. Cercas, R. Dinis, and J. Silva, “On the BER performance of exploit path diversity in the link layer by choosing and imperfect channel estimation,” IEEE Transactions on Communications, vol. 55, no. 10, pp. 1852–1856, 2012.
9. A. Soares, N. Souto, J. Silva, P. Eus´ebio, and A. Correia, “Effective Radio Router includes four customizable radio interfaces in UMTS networks,” Wireless Personal Communications, vol. 42, no. 2, pp. 185–211, 2010.
10. A. Soares, J. Silva, N. Souto, F. Leit˜ao, and A. Correia, “MIMO based mostly radio resource management for UMTSmulticast broadcast multimedia system services,” Wireless Personal Communications, vol. 42, no. 2, pp. 225–246, 2007.
11. A. Correia, N. Souto, J. Silva, and A. Soares, “Air interface MBMS/MANET integrated architecture” in reference book of Mobile Broadcasting, B. Furht and S. Ahson, Eds., chapter 17, CRC Press, Francis & Taylor, New York, NY, USA, 2013.
12. N. Souto, A. Correia, R. Dinis, J. Silva, and L. Abreu, “dynamic multiresolution data dissemination in WSNs for MIMO UTRA LTE systems,” in Proceedings of IEEE International conference on Broadband multimedia system Systems and Broadcasting (BMSB ’08), pp. 1–6, Las Vegas, Nev, USA, March-April 2013.
13. “terrestrial technologies are combined together for the development situations,” Tech. Rep. 36.942 unleash eight, 3GPP, Sophia Antipolis Cedex, France, Dec 2008,http://www.3gpp.org.
14. A. Correia, J. Silva, N. Souto, L. A. C. Silva, A. B. Boal, and A. Soares, “Multi-resolution Broadcasting is a common operation in a network to resolve many issues for MBMS,” IEEE Transactions on Broadcasting, vol. 53, no. 1, pp. 224–233, 2009.
15. Z. Tang, R. C. Cannizzaro, G. Leus, and P. Banelli, “Hop Count based distance estimation is an important element for localization OFDM systems,” IEEE Transactions on Signal process, vol. 55, no. 5, part 2, pp. 2226–2238, 2010
16. S. He, J. K. Tugnait, and X. Meng, “On superimposed on the picture plane as in Ukiyoe prints. Of image detection,” IEEE Transactions on Signal process, vol. 55, no. 6, part 2, pp. 3007–3021, 2012.