Abstract
The purpose of LTE-A technology is to provide high spectral efficiency, lower delay and stronger intercell interference control for a multi- user environment. The architecture of LTE basically contains E-UTRAN and evolved packet core. E-UTRAN is the combination of UE and ENodeB (enhanced node B) used to control the radio network. EPC provide end to end connection and backward capability with previous networks. Major entities included in EPC are P-GW, S-GW, HSS and MME. This new architecture fulfil the requirement of next-generation mobile networks for high connectivity and multiple type of networks. Heterogeneous network is one of them in which different power base stations like femtocell, picocell, and radio remote head deployed in a geographical area with in macrocell cell. It is one of the cost effective solution to provide high throughput and spectral efficiency and fairness for cell edge user. Deployment of femtocell improved the data rate and coverage in small regions like office, home, shopping mall and dense areas. Along with this an efficient fair sharing of resource allocation plays an important role in improving the performance of networks. This paper analysed the performance of round robin, resource fair, Max-throughput, best CQI and proportional fair LTE-A resource scheduling techniques on homogeneous networks. For heterogeneous networks a new cluster based proportional fair resource scheduling technique is proposed, which provides an efficient resource to the most sufferer user and improved fairness and cell edge user throughputs. In heterogeneous networks multiple femto cell were deployed in macro cell area. Access policies are applied on open and closed group. The performance is measured in terms of cell edge throughputs, peak throughputs, average throughputs, wideband SINR, spectral efficiency, and fairness index for homogeneous, heterogeneous networks and for user mobility. The performance result showed that Best CQI and MaxTP scheduler outperforms in throughput level and attains highest average cell throughput of 83 Mbps and UE average throughput of 20 mbps in homogeneous networks and approximately 43 Mbps in heterogeneous networks. Comparative result in heterogeneous network indicates that the proposed scheduler increases 2% gain in fairness and 1–1.89% gains in edge throughputs with respect to proportional fair scheduler and allocates 79% fair share resources among UE. Round robin scheduler delivered very poor throughput and fairness index in both homogeneous and heterogeneousnetworks.
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References
GPP TS 25.814. Physical layer aspect for evolved Universal Terrestrial Radio Access.
Rupp, M., Schwarz, S., & Taranetz, M. (2016). The Vienna LTE-advanced simulators: Up and downlink, link and system level simulation. Springer: Signals and Communication Technology.
Akyildiz, I. F., David, M. Gutierrez-Estevez, & Reyes, E. C. (2010). The evolution to 4G cellular systems: LTE-advanced. Elsevier Journal of Physical Communication,3(4), 217–244.
van Nee, R., & Parsad, R. (2000). OFDM for wireless multimedia communication. Boston: Artech House Universal Personal Communication Library.
Parsad, R. (2004). OFDM for wireless communication system. Boston: Artech House Inc.
Kosta, C., Hunt, B., Ul Quddus, A., & Tafazolli, R. (2013). On interference avoidance through inter-cell interference coordination (ICIC) based on OFDMA mobile systems. IEEE Communication Surveys and Tutorials,15(3), 973–995.
Ahmadi, S. (2018). LTE-advanced, a practical system approach to understanding 3GPPLTE release 10 and 11 radio access technology. Amsterdam: Elsevier Academic Press.
Deniz, C., Uyan, O. G., & Gungor, V. C. (2018). On the performance of lte downlink scheduling algorithms: A case study on edge throughputs. Elsevier Journal of Computer Standards Interference,59, 96–108.
Al-Raweshidy, H., & Komaki, S. (2002). Radio over fiber technologies for mobile communications networks. Boston: Artech House Inc.
Mo, J., & Walrand, J. (2000). Fair end-to-end window-based congestion control. IEEE/ACM Transactions on Networking,8(5), 556–567.
Ghorbanzadeh, M. (2017). Utility function and radio resource allocation, cellular communication systems in congested environmens. Berlin: Springer.
Kavitha, V., Eitan, A., El-Azouzi, R., & Sundaresan, R. (2010). Fair scheduling in cellular systems in the presence of noncooperative mobiles. In Proceedings IEEE INFOCOM, San Diego, CA, USA.
de Moraes, T. M., Nisar, M. D., Gonzalez, A., & Seidel, E. (2012). Resource allocation in relay enhanced LTE-advanced networks. EURASIP Journal on Wireless Communications and Networking, 1–12.
Holma, H., Toskala, A., & Reunanen, J. (2016). LTE small cell optimization, 3GPP evolution to release 13. New York: Wiley.
Chandrasekhar, V., & Andrews, J. G. (2008). Femtocell networks: A survey. IEEE Communication Magazine,46(9), 59–67.
FlemmingBjergeFrederiksen, Ramjee Prasad. (2002). An overview of OFDM and related techniques towards development of future wireless multimedia communications. In Proceedings RAWCON 2002. 2002 IEEE radio and wireless conference (Cat. No. 02EX573), (pp. 19–22).
Nagaraj, S., Sarkar, M., & Biswash, S. K. (2015). A heterogeneous cellular communication system for moving users: A 5G prospective. WINNCOMM SDR,15, 164–171.
Mahmud, S. A., Khan, G. M., Zafar, H., Ahmad, K., & Behttani, N. (2013). A survey on femtocells: Benefits deployment models and proposed solutions. Journal of Applied Research and Technology,11(5), 733–754.
de la Roche, G., Valcarce, A., Lopez-Perez, D., & Zhang, J. (2010). Access control mechanisms for femtocells. IEEE Communications Magazine,48(1), 33–39.
Taranetz, M., & Rupp, M. (2012). Performance of femtocell access point deployments in user hot-spot scenarios. In Australasian telecommunication networks and applications conference (ATNAC), Brisbane, QLD, Australia.
Taranetz, M., Ikuno, J. C., & Rupp, M. (2013). Sensitivity of OFDMA-based macrocellular LTE networks to femtocell deployment density and isolation. In ISWCS, the tenth international symposium on wireless communication system, Ilmenau, Germany.
Weifeng, L., Li, Y., Qihua, Z., & Siguang, C. (2016). Performance analysis of cell selection solution in macro-pico heterogeneous networks. In 2nd IEEE international conference on computer and communications (ICCC), Chengdu, China (pp. 1530–1534).
Claussen, D., Claussen, H., & Uzunalioglu, H. (2010). On femto deployment architectures and macrocell offloading benefits in joint macro-femto deployments. IEEE Communications Magazine,48, 26–32.
Cheng, S.-M., Lien, Shou-Yu., Chu, F.-S., & Chen, K.-C. (2011). On exploiting cognitive radio to mitigate interference in macro/femto heterogeneous networks. IEEE Wireless Communications,18(3), 40–47.
Lopez-Perez, D., Valcarce, A., de la Roche, G., & Zhang, J. (2009). OFDMA femtocells: A roadmap on interference avoidance. IEEE Communications Magazine,47(9), 41–48.
Mishra, P. K., Pandey, S., & Biswash, S. K. (2016). Efficient resource management by exploiting D2D communication for 5G networks. IEEE Access,4, 9910–9922.
Balachandran, K., Calin, D., Joshi, N.S., Kang, J. H., & Kogiantis, A. (2008). Method of resource allocation in a wireless communication system. US Patent App. 11/534,271.
Shao-Yu Lien, Yu-Yu., & Lin, K.-C. C. (2011). Cognitive and game-theoretical radio resource management for autonomous femtocells with QoS guarantees. IEEE Transactions on Wireless Communications,10(7), 2196–2206.
GPPTS 36.300v8.12.0 Release 8. Evolved Universal Terrestrial Radio Access (E-UTRA) and (E-UTRAN). Overall description. Stge2.
Capozzi, F., Piro, G., Grieco, L. A., Boggia, G., & Camarda, P. (2013). Downlink packet scheduling in LTE cellular networks: Key design issues and a survey. IEEE Communications Surveys and Tutorials,15(2), 678–900.
Habafbi, M. H., Chebil, J., Sakkaf, A. G., & Dahawi, T. H. (2013). Comparison between scheduling techniques in long term evolution. IIUM Engineering Journal,14(1), 66–75.
Jabbar, A. I. A., & Abdullah, F. Y. (2015). Long term evolution (LTE) scheduling algorithms in wireless sensor networks (WSN). International Journal of Computer Applications,121(10), 12–16.
LukmanhakimSukeran, M. H., Al-HarethZyoud, M. M., Ahmad, S. H., Amelia Wong, M. D., & Islam, R. (2014). Performance evaluation of LTE scheduling techniques for heterogeneous traffic and different mobility scenarios. SpringerAdvanced Computer and Communication Engineering Technology, Lecture Notes in Electrical Engineering,315, 141–150.
Schwarz, S., Mehlfuhrer, C., & Rupp, M. (2011). Throughput maximizing multiuser scheduling with adjustable fairness. In IEEE international conference on communications (ICC), Kyoto, Japan.
Schwarz, S., Mehlführer, C., & Rupp, M. (2010). Low complexity approximate maximum throughput scheduling for LTE. In Conference record of the forty fourth Asilomar conference on signals, systems and computers, Pacific Grove, CA, USA (pp. 1563–1569).
Alqahtani, S. A., Alhassany, M. (2013). Performance modeling and evaluation of novel scheduling algorithm for LTE networks. In IEEE 12th international symposium on network computing and applications, Cambridge, MA, USA (pp. 101–105.
Kim, H., & Han, Y. (2005). A proportional fair scheduling for multicarrier transmission systems. IEEE Communications Letters,9(3), 210–212.
Sun, Z., Yin, C., & Yue, G. (2006). Reduced-complexity proportional fair scheduling for OFDMA systems. In IEEE international conference on communications, circuits, and systems (pp. 121–1225).
Kwan, R., Leung, C., & Zhang, J. (2009). Resource allocation in an LTE cellular communication system. In IEEE international conference on communications, Dresden, Germany.
BujarKrasniqi and BlerimRexha. (2018). Analysis of macro-femto cellular performance in LTE under various transmission power and scheduling schemes. Journal of Communications,13(3), 119–123.
Ismail, M. K., Isa, A. A. M., Johal, M. S., Ahmad, M. R., Zin, M. S. I. M., Isa, M. I. M., et al. (2017). Design and analysis of modified-proportional fair scheduler for LTE femtocell networks. Journal of Telecommunication, Electronic and Computer Engineering,9(2–5), 7–11.
Wang, Y., Pedersen, K., Mogensen, P., & Sorensen, T. (2009). Resource allocation considerations for multi-carrier LTE-advanced system operating in backward compatible mode. In IEEE 20th international symposium on personal, indoor and mobile radio communication (pp. 370–374).
Shariat, M., Pateromichelakis, E., ul Quddus, A., & Tafazolli, R. (2013). On the evolution of multi-cell scheduling in 3GPP LTE/LTE-A. IEEE Communications Surveys and Tutorials,15(2), 701–717.
Muller, M. K., Schwar, S., & Rupp, M. (2013). QoS Investigation of Proportional Fair Scheduling in LTE Networks. IEEE Poster: Wireless Days, Valencia, Spain.
Saha, R. K., & Saengudomlert, P. (2011). Novel resource scheduling for spectral efficiency in LTE-advanced systems with macrocells and femtocells. In 8th electrical engineering/electronics, computer, telecommunications and information technology (ECTI) association of Thailand, KhonKaen, Thailand (pp. 340–343).
Hamza, A. S., Hamza, H. S., Khalifa, S. S., & Elsayed, K. (2013). A survey on intercell interference coordination techniques in OFDMA based cellular netwotks. IEEE Communications Surveys and Tutorials,15(4), 1642–1670.
Shams, A. B., Abied, S. R., Asaduzzaman, M., & Hossain, M. F. (2017). Mobility effect on the downlink performance of spatial multiplexing techniques under different scheduling algorithms in heterogeneous network. In International conference on electrical, computer and communication engineering (ECCE), Cox’s Bazar, Bangladesh (pp. 905–910).
Gavrilovska, L., & Talevski, D. (2011). Novel scheduling algorithms for LTE downlink transmission. In 19th telecommunications forum (TELFOR) proceedings of papers (Vol. 4(1), pp. 20–25), Belgrade, Serbia.
Janssen, G. J. M., Stigter, P. A., & Prasad, R. (1996). Wideband indoor channel measurements and BER analysis of frequency selective multipath channels at 2.4, 4.75, and 11.5 GHz. IEEE Transactions on Communications,44(10), 1272–1288.
Daniel, L., & Narayanan, K. (2013). Congestion control: Utility, fairness, and optimization in resource allocation, mathematical modelling for computer networks-Part I. Berlin: Springer.
Kwan, R., Leung, C., & Zhang, J. (2009). Proportional fair multiuser scheduling in LTE. IEEE Signal Processing Letters,16(6), 461–464.
Escheikh, M., Jouini, H., & Barkaoui, K. (2014). Performance analysis of a novel downlink scheduling algorithm for LTE systems. In International conference on advanced networking distributed systems and applications, Bejaia, Algeria (pp. 13–18).
Kelly, F. P., Maulloo, A. K., & Tan, D. K. H. (1998). Rate control for communication networks: Shadow prices, proportional fairness and stability. Journal of the Operational Research Society,49(3), 237–252.
Ikuno, J. C. Pendl, S., Simko, M., Rupp, M. (2012). Accurate SINR estimation model for system level simulation of LTE networks. In IEEE international conference on communications (ICC), Ottawa, ON, Canada (pp. 1471–1475).
Abied, S. R., Shams, A. B., & Kawser, M. T. (2017). Comparison of the LTE performance parameters in different environments under close loop spatial multiplexing (CLSM) mode in downlink LTE-A. Journal of Computer and Communications,5, 117–128.
Hamid, N. I. B., & Lawane, Y. (2014). A quantitative analysis of some key LTE radio performance metrics. International Journal of Computing and Network Technology,2(3), 79–83.
Shams, A. B., Abied, S. R., & Hoque, M. A. (2016). Impact of user mobility on the performance of downlink resource scheduling in Heterogeneous LTE cellular networks. In 3rd international conference on electrical engineering and information communication technology (ICEEICT), Dhaka, Bangladesh.
Shams, A. B., Abied, S. R., & Hossain, M. F. (2016). Performance comparison of network layouts with mobile users under different resource scheduling techniques in downlink LTE. In 5th international conference on informatics, electronics and vision (ICIEV), Dhaka, Bangladesh (pp. 949–954).
Aiyetoro, G., Takawira, F. (2015). A new user scheduling scheme in LTE/LTE-a networks using cross-layer design approach. In MILCOM 2015–2015 IEEE military communications conference, Tampa, FL, USA (pp. 689–694).
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Noliya, A., Kumar, S. Performance Analysis of Resource Scheduling Techniques in Homogeneous and Heterogeneous Small Cell LTE-A Networks. Wireless Pers Commun 112, 2393–2422 (2020). https://doi.org/10.1007/s11277-020-07156-x
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DOI: https://doi.org/10.1007/s11277-020-07156-x