Improve Multidimensional 5G OFDM Based MIMO Sushisen Algorithms Merge Multi-Cell Transmission

  IJETT-book-cover  International Journal of Recent Engineering Science (IJRES)          
  
© 2020 by IJRES Journal
Volume-7 Issue-2
Year of Publication : 2020
Authors : P. Senthil, Sr. Dr. Stanly, M.Suganya, S.S.Inakshi
  10.14445/23497157/IJRES-V7I2P104

MLA 

MLA Style: P. Senthil, Sr. Dr. Stanly, M.Suganya, S.S.Inakshi  "Improve Multidimensional 5G OFDM Based MIMO Sushisen Algorithms Merge Multi-Cell Transmission" International Journal of Recent Engineering Science 7.2(2020):17-21. 

APA Style: P. Senthil, Sr. Dr. Stanly, M.Suganya, S.S.Inakshi. Improve Multidimensional 5G OFDM Based MIMO Sushisen Algorithms Merge Multi-Cell Transmission  International Journal of Recent Engineering Science, 7(2),17-21.

Abstract
Wireless communication industry in the last decade, there is a need for techniques to reliably communicate at higher data rates and efficiently use the available bandwidth. One such technology is the use of multiple antennas at both transmitter and receiver sites of wireless communication systems known as multiple-input – multiple-output (MIMO) communication system. In MIMO systems, the information signal at both sides of the communication link is combined so that the quality (biterror-rate) or data rates (bit-per-sec) is improved. The paper provides a study for different diversity gain coding schemes and spatial multiplexing coding for MIMO systems. A comparison of various channel estimation and equalization techniques are given. The simulation is implemented using MATLAB, and the results had shown the performance of transmission models under different channel environments.

Reference
[1] Marzetta TL (2010) Noncooperative cellular wireless with unlimited numbers of base station antennas. IEEE Trans Wirel Commun9(11):3590–3600
[2] Rusek F, Larsson EG, Marzetta TL (2013) Scaling up MIMO: opportunities and challenges with very large arrays. IEEE Signal Process Mag 30(1):40–60
[3] Larsson EG, Edfors O, Tufvesson F (2014) Massive MIMO for next-generation wireless systems. IEEE Commun Mag 52(2):186– 195
[4] Lu L, Li GY, Swindlehurst AL (2014) An overview of massiveMIMO: benefits and challenges. IEEE J Sel Topics SignalProcess 8(5):742–758
[5] Marzetta TL (2015) Massive MIMO: an introduction. Bell Labs Tech J 20:11–22
[6] Senthil, P; Enhanced of Image Mining Techniques the Classification Brain Tumor Accuracy (ENCEPHALON), International Journal of Computer Science and Mobile Computation 5 Issue 5, pages 110-115 2016.
[7] Senthil, P.; Medicine Neural Networks Control Mind of Memory in Image Processing (Men-Net-Mind), International Journal of Modern Computer Science (IJMCS) ISSN: 2320-7868 (Online) 4 Volume 4, Issue 2, April 2016 150-156 2016
[8] Senthil, P.; Discovery of Image Mining used Brain Tumor using Improve Accuracy and Time (ANGIOGRAPHY), International Journal of Modern Computer Science and Applications (IJMCSA) ISSN: 2321-2632 (Online) 4 Volume No.-4, Issue No.-3, May 2016 28-33 2016.
[9] Senthil, P.; Image Mining Using Attribute Supported Brain Tumor Synthesis by DWT (M.R.I. Relevance), International Journal of Modern Computer Science and Applications (IJMCSA) 5 Issue No. 3, May 2016 85-90 2016.
[10] Senthil, P.; Brain Tumors Frequency Image Mining Used Detection Time Technique in Medical Images, International Journal of Modern Electronics and Communication Engineering (IJMECE) 4 Volume No.-4, Issue No.-3, May 2016 39- 45 2016 ISSN: 2321-2152 Volume No.-4, Issue No.-3, May 2016
[11] Senthil, P.; Image Mining Using Lipomatous Ependymoma on Weighted Image Find Brain Tumor (Allin One), International Journal of Modern Computer Science (IJMCS) 4 6Pages.12-18 2016
[12] Senthil, P.; Image Mining Automata Based Seeded Tumor CTaxonomy Algorithm for Segmentation of Brain Tumors on M.R. Images (BITA), Asian Journal of Computer Science and Technology 4 ISSN: 2249-0701 Vol. 5 No. 1, 2016, pp.1 16-Oct 2016
[13] Senthil, P.; An Improved Gradient Boosted Algorithms Based Solutions Predictive Model (Trade), Asian Journal of Managerial Science 5 ISSN: 2249-6300 Vol. 5 No. 1, 2016, pp.3 30-40 2016.
[14] Senthil, P; Image Mining Brain Tumor Detection using Tad Plane Volume Rendering from M.R.I. (IBITA), Journal of Computer - JoC, Available Online at: www. journal. Computer 1 Vol.1 Issue. 1 June- 2016, pg. 1-13 13-Jan 2016
[15] Senthil, P.; ENHANCED BIG DATA CLASSIFICATION SUSHISEN ALGORITHMS TECHNIQUES IN HADOOP CLUSTER (META), Journal of Computer - JoC, Available Online at: www. journal. computer 1 Vol.1 Issue. 1, June- 2016, pg.14-20 14-2016.
[16] Senthil, P.; IMAGE MINING USED SEGMENTATION TECHNIQUE MRI SCAN BRAIN TUMOR IMAGES ANALYSIS (IMUSA), Journal of Computer - JoC, Available Online at: www. journal. computer 1 Volume 1 Issue 1
[17] Senthil, P.; IMAGE MINING CLASSIFICATION MRI SCAN USED BRAIN TUMOR ANALYSIS (IMICLA)Journal of Computer - JoC,1 Volume 1 Issue 1 ISSN:2518-6205 21-35 2016
[18] Senthil, P.; IMAGE MINING EFFECT USING GAUSSIAN SMOOTH IN BRAIN TUMOR INCREASING THE SEGMENTING ACCURACY (I- MENINGIOMA), Journal of Computer - JoC,2 Vol.1 Issue. 2, July- 2016 pages. 63-73 2016
[19] Senthil, P.; Image Mining Base Level Set Segmentation Stages To Provide An Accurate Brain Tumor Detection International Journal of Engineering Science and Computing, July 2016 6 Volume 6 Issue No. 7 Page.8295-8299 2016
[20] Senthil, P; Image Mining Brain Tumor Detection using Tad Plane Volume Rendering from M.R.I. (IBITA), Journal of computer science 2 Vol.1 Issue. 1, June- 2016,pages. 1-13 2016
[21] Senthil, P.; Image Mining Brain Tumor Detection using Tad Plane Volume Rendering from M.R.I. (IBITA), journal of computer 1 Vol.1 Issue. 1, ISSN:2518-6205 Vol.1 Issue. 1 June- 2016, pg. 1- 13 2016
[22] Senthil, P.; Image Mining in Fuzzy Model Approaches Based Random walker algorithm Brain Tumor Analysis (Meningioma Analysis), International Journal of Computer Science & Engineering Technology (IJCSET) 7 Vol. 7 No. 07 Jul 2016 Pages 303 – 315 2016
[23] Senthil, P.; IMAGE MINING USING DISEASE ACCURACY ANALYSIS (Muda), International Research Journal of Engineering and Technology (IRJET), 3 6-Jun-16 pages. 309-318 2016 e-ISSN: 2395 -0056 Volume: 03 Issue: 06 | June-2016
[24] Senthil, P.; EXPOSURE WITH CREDENTIALS OF BRAIN TUMOR USING IMAGE MINING MICCAI PERFORMANCE (MELANOMA), International Journal of Current Research 8 Vol. 8, Issue, 08, Pages 36002-36006,2016
[25] Senthil, P.; Image Mining in Tumor Detection in Brain using Sushisen in Arima Model Indian Journal Of Natural Sciences 37 Pages 11480-11496 2016.
[26] Senthil, P; Image Mining Segmentation Adaboost Glioma Prevents Progression to High-Grade Glioma Accuracy(Image), International Journal of Engineering Studies and Technical Approach (IJESTA) 2 Volume: 2, No: 9, 20 Sep Pages 1-10 2016
[27] Senthil, P; Templaste and Inasu algorithms using Medical images Analysis, International Journal of Engineering Studies, and Technical Approach (IJESTA) 2 Volume: 2, No: 10, Oct 2016 14-Jan 2016.
[28] Senthil, P; Image Mining In ranking Approach under Interval-Valued Hesitant Fuzzy Set Gr Selection International Journal of Scientific Research in Computer Science, Engineering and Information Technology 1 Volume 1 Issue 2 Page 105-114 2016.
[29] Senthil, P; Cancer Detection Cancer and Classification Radiotherapy Treatment, International Journal of Engineering Studies and Technical Approach (IJESTA) 2 Volume: 2, No: 12, Dec 2016 11-Jan 2017.
[30] Senthil, P; E.C.G. Signals Application Automated Apprehension and Allocation of Cardiovascular Abnormalities, Asian Journal of Electrical Sciences (AJES) 5 Volume 5 No.2 July-December 2016 pp 28-32 2017.
[31] Senthil, P; Evolutionary Algorithms Techniques Based on M.E.T. Heuristics of Accustomed Computing Performance, Asian Journal of Computer Science and Technology 6 issue. 1 2017, pp.21-26 2017.
[32] Senthil, P; Inheritance Classification Based Artificial Reproduction Analysis and Artificial Neural Networks (Icarus), Asian Journal of Computer Science and Technology 6 No. 1, 2017, pp.6-14 2017.
[33] P, Senthil; FOURIER TRANSFORM BASED CLASSIFICATION ABORIGINAL ALGORITHM, Asian Journal of Science and Applied Technology (AJSAT) 6 Volume 6 No.1 January-June 2017 page 5-9 2017.
[34] P, Senthil; Graphics in Combination Handguns Preparation Classification (Gaps), Asian Journal of Engineering and Applied Technology (AJEAT) 6 Volume 6 No.1 January-June 2017 Page 1-9 2017.
[35] Yang H, Marzetta T (2013) Total energy efficiency of cellular largescale antenna system multiple access mobile networks. In: Proc IEEE Online Conference on Green Communications( 2008) Smart 2020: enabling the low carbon economy in the information age. The Climate Group and Global e-Sustainability Initiative (GeSI)
[36] Wiesel A, Eldar Y, Shamai S (2006) Linear precoding via conic optimization for fixed MIMO receivers. IEEE Trans Signal Process 54(1):161–176
[37] Tugnait JK, Tong L, Ding Z (2000) Single-user channel estimation, and equalization. IEEE Signal Process Mag 17(3):16–28 
[38] Cui S, Goldsmith A, Bahai A (2004) Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks. IEEE J Sel Areas Commun 22(6):1089–1098
[39] Wolniansky PW, Foschini GJ, Golden GD, Valenzuela RA (2002) V-BLAST: an architecture for realizing very high data rates over the rich-scattering wireless channel. In: Ursi International Symposium on Signals. Italy, p 295–300
[40] Joung J, Sun S (2016) Two-step transmit antenna selection algorithms for massive MIMO. In: 2016 IEEE International Conference on Communications (I.C.C.). Kuala Lumpur, Malaysia, p 1–6
[41] Abhinav Johri, Farooq Husain and Ekta Agarwal, "A Review: Visible Light Communication using MU-MIMO-OFDM" SSRG International Journal of Electronics and Communication Engineering 4.4 (2017): 16-20.

Keywords
MATLAB MIMO, Cell Phone Network