Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
Long Term Evolution Multiple-Input Multiple-Output Network in Unmanned Air Vehicles Platform
Authors: Ashagrie Getnet Flattie
Abstract:
Line-of-sight (LOS) information, data rates, good quality, and flexible network service are limited by the fact that, for the duration of any given connection, they experience severe variation in signal strength due to fading and path loss. Wireless system faces major challenges in achieving wide coverage and capacity without affecting the system performance and to access data everywhere, all the time. In this paper, the cell coverage and edge rate of different Multiple-input multiple-output (MIMO) schemes in 20 MHz Long Term Evolution (LTE) system under Unmanned Air Vehicles (UAV) platform are investigated. After some background on the enormous potential of UAV, MIMO, and LTE in wireless links, the paper highlights the presented system model which attempts to realize the various benefits of MIMO being incorporated into UAV platform. The performances of the three MIMO LTE schemes are compared with the performance of 4x4 MIMO LTE in UAV scheme carried out to evaluate the improvement in cell radius, BER, and data throughput of the system in different morphology. The results show that significant performance gains such as bit error rate (BER), data rate, and coverage can be achieved by using the presented scenario.Keywords: BER, LTE, MIMO, path loss, UAV.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1126441
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1395References:
[1] K. Yu, Y. J. Guo, and S. Member, “Statistical NLOS identification based on AOA, TOA, and signal strength,” IEEE Trans. Veh. Technol., vol. 58, no. 1, 2009, pp. 274–286.
[2] I. Guvenc, C. Chong, and F. Watanabe, “NLOS identification and mitigation for UWB localization systems,” in Proc. IEEE Wireless Commun. Netw. Conf. (WCNC’07), 2007, pp. 1571–1576.
[3] S. Maran, W. M. Gifford, and H. Wymeersch, “NLOS identification and mitigation for localization based on UWB experimental data,” IEEE J. Sel. Areas Commun., vol. 28, no. 7, 2010, pp. 1026–1035.
[4] G. Tuna, B. Nefzi and G. Conte, “Unmanned aerial vehicle-aided communications system for disaster recovery,” Journal of Network and Computer Applications 41, 2014, pp.27–36.
[5] C. Cerasoli, “An analysis of unmanned airborne vehicle relay coverage in urban environments,” in Proceedings of MILCOM 2007. IEEE, 2007.
[6] G.J. Foschini. “Layered Space-Time Architecture for Wireless Communication in a Fading Environment When Using Multi-Element Antenna,” Bell Laboratories Technical Journal, Oct. 1996, pp. 41 59.
[7] J. H. Winters, “On the capacity of radio communications systems with diversity in Rayleigh fading environments,” IEEE J. Select. Areas Commun. vol. JSAC-5, June 1987, pp. 871–878.
[8] S. Ajey, B. Srivalli and G.V. Rangaraj, “On performance of MIMO-OFDM based LTE system,” International Conference on Wireless Communication and Sensor Computing, January 2010, pp. 1-5.
[9] L. Guangjie; L. Wookbong; M. Lee; D. Mazzarese; B. Clerckx; Z. Li, “MIMO Techniques in WiMAX and LTE: A Feature Overview”, IEEE, Volume: 48, Issue: 5, May 2010,pp; 86 – 92.
[10] 3GPP, TS 36.213, “Evolved Universal Terrestrial Radio Access (E-UTRA); Physical layer procedures (Release 8)”.
[11] G.T. Carling, J. Radebaugh, T. Saito, R.D. Lorenz, A. Dangerfield, D. G. Tingey, J. D. Keith, J. V. South, R. M. Lopes, S. Diniega, “Temperatures, thermal structure, and behavior of eruptions at Kilauea and Erta Ale volcanoes using a consumer digital camcorder,” Elsevier, 2015, pp. 47–56.
[12] H. Bendea, P. Boccardo, S. Dequal, F.G. Tonolo, F. G. Marenchino M. Piras, “Low Cost UAV for Post-Disaster Assessment. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences”, v.37, 2008, pp. 1373-1379.
[13] M. de Fatima Bento “Unmanned Aerial Vehicles: An Overview,” working paper, www.insidegnss.com, January/ February 2008.
[14] S. Parkvall, A. R. Furuska and E. Dahlman, “Evolution of LTE toward IMT-advanced,” IEEE Communications Magazine, 49(2), 2011, pp.84-91.
[15] D. Mahjabeen, A. Ahmed and S. Rafique, “Use of LTE for the Interoperability between Different Generations of Wireless Communication”, Int. J. Communications, Network and System Sciences (IJCNS), 4(7), 2011, pp. 424-429.
[16] A. So, B. Liang,” Effect of relaying on capacity improvement in wireless local area networks,” In Proceedings of IEEE Wireless Communications Networking Conference, Vol. 3, New Orleans, USA, March 2005, pp.13-17.
[17] M. Werner, M. Naden, P. Jesus, C Silva, P. Moberg, P. Skillermark, W. Warzanskyj. “Cost Assessment and Optimization Methods for Multi-Node Radio Access Networks,” IEEE Vehicular Technology Conference (VTC) Spring, 2008, pp. 2601-2605.
[18] T. L. Marzetta, “Non cooperative cellular wireless with unlimited numbers of base station antennas”, IEEE Trans. Wireless Commun., vol. 9, no. 11, 2010, pp.3590 -3600.
[19] Y. Kim, H. Ji, J. Lee, Y.H. Nam, B.L. Ng, I. Tzanidis, Y. Li and J. Zhang, “Full Dimension MIMO (FD-MIMO): The Next Evolution of MIMO in LTE Systems,” Wireless Commun. Mag., vol. 21, issue 3, 2014.
[20] J. Vieira, S. Malkowsky, K. Nieman, Z. Miers, N. Kundargi, L. Liu, I. C. Wong, V. O¨ wall, O. Edfors, and F. Tufvesson, “A flexible 100- antenna testbed for massive MIMO,” in Proc. IEEE Globecom Workshop - Massive MIMO: From Theory to Practice, 2014.
[21] R. Blum, “MIMO capacity with interference,” IEEE J. Select. Areas Commun. Special Issue on MIMO Systems, 2003.
[22] S. Catreux, P. F. Driessen, and L. J. Greenstein, “Attainable throughput of an interference limited multiple-input multiple-output cellular system,” IEEE Trans. Commun., vol. 48, Aug. 2001, pp. 1307–1311.
[23] D. Gesbert, M. Shafi, D. Shiu, P. Smith, and A. Naguib, “From theory to practice: An overview of MIMO space-time coded wireless systems,” IEEE Journal on Selected Areas in Communications, vol. 21, no. 3, Apr 2003, pp. 281-302.
[24] Y. Fan and J. Thompson, “MIMO configurations for relay channels: Theory and practice,” IEEE Trans. Wireless Commun., vol. 6, no. 5, May 2007, pp. 1774–1786.
[25] S. Thoen, L. Van der Perre, B. Gyselinckx, and M. Engels, “Performance analysis of combined transmit-SC/receive-MRC,” IEEE Trans. Commun., vol. 49, no. 1, Jan 2001, pp. 5 – 8.
[26] J. Adab, A. Yahya. R.B. Ahmad “Effect of Relay Location on Two-Way DF and AF Relay in LTE-A Cellular Networks” IJECET, Volume 3, Issue 2, July- September (2012), pp. 385-399.
[27] M. Rumney, “LTE and the Evolution to 4G wireless: Design and Measurement Challenges”, Agilent Technologies by John Wiley and Sons, Ltd, pp:4-5,300-305,2009.
[28] H. Holma and A. Toskala, “LTE for UMTS: OFDMA and SC-FDMA Base Band Radio Access,” John Wiley & ISBN 9780470994016 (H/B) John Wiley & Sons Ltd, 2009.
[29] A. Goldsmith, S. Jafar, N. Jindal, and S. Vishwanath, \Fundamental Capacity of MIMO Channels," IEEE Journal on Selected Areas in Communications, Special Issue on MIMO systems, 2003.
[30] D. Gesbert, M. Sha, D. S. Shiu, P. Smith and A. Naguib,” From Theory to Practice: An overview of MIMO space-time coded wireless systems”, IEEE Journal on Selected Areas on Communications, To appear early 2003 in special issue on MIMO systems.
[31] V. Erceg, P. Soma, D. S. Baum, and A. J. Paulraj. “Capacity obtained from multiple-input multiple-output channel measurements wireless environments at 2.5 GHz”, In Proceedings IEEE International Conference on Communications, volume 1, pp. 396-400, 2002.
[32] G. J. Foschini and M. J. Gans, “On limits of wireless communications in a fading environment when using multiple antennas,” Wireless Personal Commun., vol. 6, Mar. 1998, pp. 311–335.
[33] E. Telatar, “Capacity of multiantenna Gaussian channels,” AT&T Bell Laboratories, Tech. Memo., June 1995.
[34] Haider, E. Hepsaydir, N. Binucci, “Performance Analysis of LTE-Advanced Networks in Different Spectrum Bands”, IEEE WiAd, London, UK, Jun. 2011.
[35] J. Zhang, E. K. P. Chong, and D. Tse, “Output MAI distributions of linear MMSE multiuser receivers in CDMA systems,” IEEE Trans. Inform. Theory, vol. 47, May 2001, pp. 1128–1144.
[36] N. Kolehmainen, J. Puttonen, P. Kela, T. Ristaniemi, T. Henttonen, and M. Moisio,” Channel Quality Indication Reporting Schemes for UTRAN Long Term Evolution Downlink”, In Proceedings of the 67th IEEE Vehicular Technology Conference, VTC2008-Spring, May 2008, pp. 2522–2526.
[37] Na Wei, “MIMO Techniques for UTRA Long Term Evolution”, Dissertation, September, 2007.
[38] A. Basit, “Dimensioning of LTE Network, Description of Models and Tool, Coverage and Capacity Estimation of 3GPP Long Term Evolution radio interface”, February 2009.
[39] A. Nosratinia, “Cooperative communication in wireless Networks,” IEEE Communications Magazine, October 2004.
[40] Y. Fan and J. S. Thompson, “MIMO Configurations for Relay Channels: Theory and Practice,” IEEE Trans. Wireless Commun. vol. 6, no. 5, May 2007, pp. 1774–86.
[41] Y.-W. Peter Hong, Wan-Jen Huang, and C.-C. Jay Kuo, “Cooperative communications and networking technologies and system design,‘‘ 2010.
[42] M. K. Simon and M.-S. Alouini, “A unified approach to the probability of error for noncoherent and differentially coherent modulations over generalized fading channels,” IEEE Trans. Commun., vol. 46, no. 12, Dec. 1998, pp. 1625–1638.
[43] J. G. Proakis, Digital Communications, 4th ed. New York: McGraw- Hill, 2000.
[44] D. G. Brennan, “Linear diversity combining techniques,” Proc. IEEE, vol. 91, no. 2, Feb. 2003, pp. 331–356.
[45] A. R Mishra, “Advanced Cellular Network Planning and Optimization: 2G/2.5G/3G. Evolution to 4G”, England, John Wiley & Sons Ltd., 2007, pp: 40-42.
[46] P.K., et al. “An Analytical study for the performance analysis of propagation models in WiMAX,” International Journal of Computational Engineering Research, vol. 2, 2012, pp. 175-181.
[47] V.S., Abhayawardhana, “Comparison of Empirical Propagation Path Loss Models for Fixed Wireless Access System,” IEEE Conference of Vehicular Technology Conference, vol.1, 2005, pp. 73-77.
[48] R. K. Crane, “Prediction of attenuation by rain,” IEEE Transactions on Communications, vol. COM-28, September 1980, pp. 1727–1732.
[49] V. Erceg et al., “Channel models for fixed wireless application,” Tech. rep. IEEE 802.16 Broadband Wireless Access Working Group, January 2001.
[50] COST Action 231, “Digital mobile radio towards future generation systems, final report” tech. rep., European Communities, EUR 18957, 1999.
[51] H. Parsian, “Comparison of Asset and Atoll Cellular Planning Tools for LTE Network Planning,” AALTO University, 2012.
[52] M. Amro, M. A. Landolsi, S. A. Zummo “Practical Verifications for Coverage and Capacity Predictions and Simulations in Real World Cellular UMTS network” International Conference on Computer and Communication Engineering, Kuala Lumpur, 2012, pp. 3-5.
[53] P. Zhao, Y. Zhang, S. Zhou, Y. Hu “A New Method of Obtaining Slow Fading Characteristics from CW Test and Its Implementations in Radio Planning”, IEEE International Conference on Communication Technology and Applications at Beijing, Oct,2009, pp. 279-283.
[54] S. I. Popoola, O.F. Oseni, “Performance Evaluation of Radio Propagation Models on GSM Network in Urban Area of Lagos, Nigeria,” International Journal of Scientific & Engineering Research, Vol. 5, Issue 6, June-2014, pp.1212-1217.
[55] ATOLL 3.2.0 Model Calibration Guide, Release: AT 320_MCG_E2. Forsk, France.
[56] M. Suneetha Rani, S. Behara, K.Suresh, “Comparison of Standard Propagation Model (SPM) and Stanford University Interim (SUI) Radio Propagation Models for Long Term Evolution (LTE)”, IJAIR, ISSN: 2278-7844.