Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Wireless Personal Communications
Erschienen in: Wireless Personal Communications 3/2017

03.02.2017

Study of Indoor Path Loss Computational Models for Femtocell Based Mobile Network

verfasst von: Priti Deb, Anwesha Mukherjee, Debashis De

Erschienen in: Wireless Personal Communications | Ausgabe 3/2017

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Path loss minimization in next generation mobile network is a challenging research area. The signal transmitted by a base station degrades due to various obstacles in the environment. The received signal level at the mobile station is less than the transmitted signal level of the base station. This loss in the signal level is referred as path loss in mobile network. In this paper different path loss models are discussed for indoor environment covered by femtocell. It is assumed that the mobile users in that region exclusively access the services of femtocell. As only indoor area is considered, non-line of sight propagation is examined. Signal-to-interference-plus-noise-ratio for a femtocell base station is calculated. The performance of the path loss models are analyzed using vector signal generator and vector signal analyzer. A comparative analysis is carried out between the models. Based on the comparative analysis, a case study is performed to demonstrate how an appropriate path loss model will be selected depending on the frequency range, building type, walls and floors.
Vorheriger Artikel Cross-Layer Analysis of Multiuser MIMO Systems Employing AMC with Delayed ARQ Feedback
Nächster Artikel XLCI Protocol for High QoS in Industrial Wireless Network

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
Himayat, N., Talwar, S., Rao, A., & Soni, R. (2010). Interference management for 4G cellular standards [wimax/lte update]. Communications Magazine, IEEE, 48(8), 86–92.CrossRef
2.
Zahariadis, T. (2003). Trends in the path to 4G. Communications Engineer, 1(1), 12–15.CrossRef
3.
Choi, Y. J., Lee, K. B., & Bahk, S. (2007). All-IP 4G network architecture for efficient mobility and resource management. Wireless Communications, IEEE, 14(2), 42–46.CrossRef
4.
Varshney, U., & Jain, R. (2001). Issues in emerging 4G wireless networks. Computer, 34(6), 94–96.CrossRef
5.
Velasco, E., Wavemax Corp. (2014). Next generation network services for 3G/4G mobile data offload in a network of shared protected/locked Wi-Fi access points. U.S. Patent 8,811,363.
6.
Ikuno J. C., Wrulich, M., & Rupp, M. (2010). System level simulation of LTE networks. In Vehicular technology conference (VTC 2010-spring), 2010 IEEE 71st (pp. 1–5). IEEE.
7.
Lobinger, A., Stefanski, S., Jansen, T., & Balan, I. (2011). Coordinating handover parameter optimization and load balancing in LTE self-optimizing networks. In Vehicular technology conference (VTC spring), 2011 IEEE 73rd (pp. 1–5). IEEE.
8.
Hu, H., Zhang, J., Zheng, X., Yang, Y., & Wu, P. (2010). Self-configuration and self-optimization for LTE networks. Communications magazine, IEEE, 48(2), 94–100.CrossRef
9.
Zaki, Y., Zhao, L., Goerg, C., & Timm-Giel, A. (2011). LTE mobile network virtualization. Mobile Networks and Applications, 16(4), 424–432.CrossRef
10.
Yuan, G., Zhang, X., Wang, W., & Yang, Y. (2010). Carrier aggregation for LTE-advanced mobile communication systems. Communications Magazine, IEEE, 48(2), 88–93.CrossRef
11.
Chandrasekhar, V., Andrews, J. G., & Gatherer, A. (2008). Femtocell networks: A survey. Communications Magazine, IEEE, 46(9), 59–67.CrossRef
12.
Chandrasekhar, V., Andrews, J. G., Muharemovic, T., Shen, Z., & Gatherer, A. (2009). Power control in two-tier femtocell networks. IEEE Transactions on Wireless Communications, 8(8), 4316–4328.CrossRef
13.
Bouras, C., Kokkinos, V., Kontodimas, K., & Papazois, A. (2012). A simulation framework for LTE-A systems with femtocell overlays. In Proceedings of the 7th ACM workshop on performance monitoring and measurement of heterogeneous wireless and wired networks (pp. 85–90). ACM.
14.
Claussen, H., Ho, L. T., & Samuel, L. G. (2008). An overview of the femtocell concept. Bell Labs Technical Journal, 13(1), 221–245.CrossRef
15.
Jo, H. S., Mun, C., Moon, J., & Yook, J. G. (2009). Interference mitigation using uplink power control for two-tier femtocell networks. IEEE Transactions on Wireless Communications, 8(10), 4906–4910.CrossRef
16.
Claussen, H., Ho, L. T., & Samuel, L. G. (2008). Self-optimization of coverage for femtocell deployments. In Wireless telecommunications symposium (pp. 278–285). IEEE.
17.
Weitzen, J., & Grosch, T. (2010). Comparing coverage quality for femtocell and macrocell broadband data services. Communications Magazine, IEEE, 48(1), 40–44.CrossRef
18.
Claussen, H., & Pivit, F. (2009, June). Femtocell coverage optimization using switched multi-element antennas. In IEEE international conference on communications (pp. 1–6). IEEE.
19.
Calin, D., Claussen, H., & Uzunalioglu, H. (2010). On femto deployment architectures and macrocell offloading benefits in joint macro-femto deployments. Communications Magazine, IEEE, 48(1), 26–32.CrossRef
20.
Ashraf, I., Claussen, H., & Ho, L. T. (2010). Distributed radio coverage optimization in enterprise femtocell networks. In IEEE international conference on communications (pp. 1–6). IEEE.
21.
Akyildiz, I. F., Xie, J., & Mohanty, S. (2004). A survey of mobility management in next-generation all-IP-based wireless systems. Wireless Communications, IEEE, 11(4), 16–28.CrossRef
22.
Huang, L., Zhu, G., & Du, X. (2013). Cognitive femtocell networks: An opportunistic spectrum access for future indoor wireless coverage. Wireless Communications, IEEE, 20(2), 44–51.CrossRef
23.
Hiltunen, K., Olin, B., & Lundevall, M. (2005, May). Using dedicated in-building systems to improve HSDPA indoor coverage and capacity. In Vehicular Technology Conference (pp. 2379–2383). IEEE.
24.
Isotalo, T., Lahdekorpi, P., & Lempiäinen, J. (2008). Improving HSDPA indoor coverage and throughput by repeater and dedicated indoor system. EURASIP Journal on Wireless Communications and Networking, 2008, 45.CrossRef
25.
Mohjazi, L., Al-Qutayri, M., Barada, H., Poon, K., & Shubair, R. (2011). Deployment challenges of femtocells in future indoor wireless networks. In IEEE GCC conference and exhibition (GCC) (pp. 405–408). IEEE.
26.
Karner, W., Paier, A., & Rupp, M. (2006). Indoor coverage prediction and optimization for UMTS macro cells. In Third international symposium on wireless communication systems (pp. 625–630). IEEE.
27.
Huber, K. D., Brisebois, A. R. & Flynn, J. J., At &T Mobility Ii Llc. (2012).Femto cell access point pass through model. U.S. Patent 8,194,549.
28.
Taranetz, M., & Rupp, M. (2012). Performance of femtocell access point deployments in user hot-spot scenarios. In Telecommunication networks and applications conference (pp. 1–5). IEEE.
29.
Lopez-Perez, D., Valcarce, A., De La Roche, G., & Zhang, J. (2009). OFDMA femtocells: A roadmap on interference avoidance. Communications Magazine, IEEE, 47(9), 41–48.CrossRef
30.
Ho, L. T., & Claussen, H. (2007). Effects of user-deployed, co-channel femtocells on the call drop probability in a residential scenario. In IEEE eighteenth international symposium on personal, indoor and mobile radio communications (pp. 1–5). IEEE.
31.
Golaup, A., Mustapha, M., & Patanapongpibul, L. B. (2009). Femtocell access control strategy in UMTS and LTE. Communications Magazine, IEEE, 47(9), 117–123.CrossRef
32.
Liu, J., Kou, T., Chen, Q., & Sherali, H. D. (2012). Femtocell base station deployment in commercial buildings: A global optimization approach. IEEE Journal on Selected Areas in Communications, 30(3), 652–663.CrossRef
33.
Lu, P. C., Tsao, K. J., Huang, C. R., & Hou, T. C. (2010). A suburban femtocell model for evaluating signal quality improvement in WiMAX networks with femtocell base stations. In Wireless communications and networking conference (pp. 1–6). IEEE.
34.
Morita, M., Matsunaga, Y., & Hamabe, K. (2010). Adaptive power level setting of femtocell base stations for mitigating interference with macrocells. In Vehicular technology conference fall (pp. 1–5). IEEE.
35.
Guvenc, I., Jeong, M. R., Watanabe, F., & Inamura, H. (2008). A hybrid frequency assignment for femtocells and coverage area analysis for co-channel operation. IEEE Communications Letters, 12(12), 880–882.CrossRef
36.
Saquib, N., Hossain, E., Le, L. B., & Kim, D. I. (2012). Interference management in OFDMA femtocell networks: Issues and approaches. Wireless Communications, IEEE, 19(3), 86–95.CrossRef
37.
Ashraf, I., Ho, L. T., & Claussen, H. (2010). Improving energy efficiency of femtocell base stations via user activity detection. In Wireless communications and networking conference (pp. 1–5). IEEE.
38.
Mukherjee, A., Bhattacherjee, S., Pal, S., & De, D. (2013). Femtocell based green power consumption methods for mobile network. Computer Networks, 57(1), 162–178.CrossRef
39.
Mukherjee, A., & De, D. (2013). Congestion detection, prevention and avoidance strategies for an intelligent, energy and spectrum efficient green mobile network. Journal of Computational Intelligence and Electronic Systems, 2(1), 1–19.CrossRef
40.
Torregoza, J. P. M., Enkhbat, R., & Hwang, W. J. (2010). Joint power control, base station assignment, and channel assignment in cognitive femtocell networks. EURASIP Journal on Wireless Communications and Networking, 2010(1), 1–14.CrossRef
41.
Ebongue, J. L. F. K., Nelson, M., & Nlong, J. M. (2014). Empirical path loss models for 802.11 n wireless networks at 2.4 GHz in rural regions. In e-Infrastructure and e-services for developing countries (pp. 53–63). Springer.
42.
Phillips, C., Sicker, D., & Grunwald, D. (2013). A survey of wireless path loss prediction and coverage mapping methods. Communications Surveys & Tutorials, IEEE, 15(1), 255–270.CrossRef
43.
Sulyman, A. I., Nassar, A. T., Samimi, M. K., MacCartney, G. R., Rappaport, T. S., & Alsanie, A. (2014). Radio propagation path loss models for 5G cellular networks in the 28 GHz and 38 GHz millimeter-wave bands. Communications Magazine, IEEE, 52(9), 78–86.CrossRef
44.
Huang, K., & Lau, V. K. (2014). Enabling wireless power transfer in cellular networks: Architecture, modeling and deployment. IEEE Transactions on Wireless Communications, 13(2), 902–912.CrossRef
45.
Fan, Z., Cao, F., Sun, Y., & Zhu, Z. (2013). Interference management in femtocell networks. Wireless Communications and Mobile Computing, 13(11), 1027–1046.CrossRef
46.
Qi, Y., Kobayashi, H., & Suda, H. (2006). Analysis of wireless geolocation in a non-line-of-sight environment. IEEE Transactions on Wireless Communications, 5(3), 672–681.CrossRef
47.
Venkatesh, S., & Buehrer, R. M. (2007). Non-line-of-sight identification in ultra-wideband systems based on received signal statistics. Microwaves, Antennas & Propagation, IET, 1(6), 1120–1130.CrossRef
48.
Turkka, J., & Renfors, M. (2008). Path loss measurements for a non-line-of-sight mobile-to-mobile environment. In Eighth international conference on ITS telecommunications (pp. 274–278). IEEE.
49.
Andersen, J. B., Rappaport, T. S., & Yoshida, S. (1995). Propagation measurements and models for wireless communications channels. Communications Magazine, IEEE, 33(1), 42–49.CrossRef
50.
Aragon-Zavala, A. (2008). Antennas and propagation for wireless communication systems. New York: Wiley.
51.
Bouras, C., Kavourgias, G., Kokkinos, V., & Papazois, A. (2012). Interference management in LTE femtocell systems using an adaptive frequency reuse scheme. In Wireless Telecommunications Symposium (WTS), 2012 (pp. 1–7). IEEE.
52.
Zahir, T., Arshad, K., Nakata, A., & Moessner, K. (2013). Interference management in femtocells. Communications Surveys & Tutorials, IEEE, 15(1), 293–311.CrossRef
53.
Saquib, N., Hossain, E., & Kim, D. I. (2013). Fractional frequency reuse for interference management in LTE-advanced hetnets. Wireless Communications, IEEE, 20(2), 113–122.CrossRef
54.
Shen, Z., Khoryaev, A., Eriksson, E., & Pan, X. (2012). Dynamic uplink-downlink configuration and interference management in TD-LTE. Communications Magazine, IEEE, 50(11), 51–59.CrossRef
55.
Andrews, J. G., Claussen, H., Dohler, M., Rangan, S., & Reed, M. C. (2012). Femtocells: Past, present, and future. IEEE Journal on Selected Areas in Communications, 30(3), 497–508.CrossRef
56.
Alkandari, A., & Ahmad, M. A. (2012). Interference management in femtocells. Journal of Advanced Computer Science and Technology Research, 2(1), 10–21.
57.
Zhang, Q., Feng, Z., & Li, W. (2015). Coverage Self-Optimization for Randomly Deployed Femtocell Networks. Wireless Personal Communications, 82(4), 2481–2504.CrossRef
58.
Chai, X., Xu, X., & Zhang, Z. (2015). A user-selected uplink power control algorithm in the two-tier femtocell network. Science China Information Sciences, 58(4), 1–12.CrossRef
59.
Mukherjee, A., De, D., & Deb, P. (2016). Interference management in macro-femtocell and micro-femtocell cluster-based long-term evaluation-advanced green mobile network. IET Communications, 10(5), 468–478.CrossRef
60.
Chowdhury, M. Z., Jang, Y. M., & Haas, Z. J. (2011). Cost-effective frequency planning for capacity enhancement of femtocellular networks. Wireless Personal Communications, 60(1), 83–104.CrossRef
61.
Kalbkhani, H., Jafarpour-Alamdari, S., Solouk, V., & Shayesteh, M. G. (2014). Interference management and six-sector macrocells for performance improvement in femto–macro cellular networks. Wireless Personal Communications, 75(4), 2037–2051.CrossRef
62.
Oh, C. Y., Chung, M. Y., Choo, H., & Lee, T. J. (2013). Resource allocation with partitioning criterion for macro-femto overlay cellular networks with fractional frequency reuse. Wireless Personal Communications, 68(2), 417–432.CrossRef
63.
Dohler, M., & Aghvami, A. H. (1999). An outdoor-indoor interface model for radio wave propagation for 2.4, 5.2 and 60 GHz. MSc Project, King’s College London.
64.
Damasso, E., & Correia, L. M. (1999). Digital Mobile Radio Towards Future Generation-COST 231 Final Report. Brussels: COST Office.
65.
Bultitude, Y. D. J., & Rautiainen, T. (2007). IST-4-027756 WINNER II D1. 1.2 V1. 2 WINNER II channel models, 1–82.
66.
Lott, M., & Forkel, I. (2001). A multi-wall-and-floor model for indoor radio propagation. In Vehicular technology conference (pp. 464–468). IEEE.
67.
Recommendations, I. T. U. R. (2001). Propagation data and prediction methods for the planning of indoor radio communication systems and radio local area networks in the frequency range 900 MHz to 100 GHz. ITU Recommendations, 1–15.
68.
Singh, S., & Singh, P. (2012). Key concepts and network architecture for 5G mobile technology. International Journal of Scientific Research Engineering & Technology (IJSRET), 1(5), 165–170.
69.
Müller, C., Georg, H., Putzke, M., & Wietfeld, C. (2011, October). Performance analysis of radio propagation models for Smart Grid applications. In IEEE international conference on smart grid communications (SmartGridComm) (pp. 96–101). IEEE.
70.
Deng, S., Samimi, M. K., & Rappaport, T. S. (2015, June). 28 GHz and 73 GHz millimeter-wave indoor propagation measurements and path loss models. In IEEE international conference on communication workshop (pp. 1244-1250). IEEE.
71.
Rappaport, T. S., Gutierrez, F., Ben-Dor, E., Murdock, J. N., Qiao, Y., & Tamir, J. (2013). Broadband millimeter-wave propagation measurements and models using adaptive-beam antennas for outdoor urban cellular communications. Antennas and Propagation, IEEE Transactions on, 61(4), 1850–1859.CrossRef
72.
Rappaport, T. S., Sun, S., Mayzus, R., Zhao, H., Azar, Y., Wang, K., et al. (2013). Millimeter wave mobile communications for 5G cellular: It will work! Access, IEEE, 1, 335–349.CrossRef
73.
MacCartney, G. R., Zhang, J., Nie, S., & Rappaport, T. S. (2013). Path loss models for 5G millimeter wave propagation channels in urban microcells. In Global communications conference (pp. 3948–3953). IEEE.
74.
Larew, S. G., Thomas, T., Cudak, M., & Ghosh, A. (2013, December). Air interface design and ray tracing study for 5G millimeter wave communications. In Globecom workshops (pp. 117–122). IEEE.
75.
Federal Communications Commission. (1997). Millimeter wave propagation: Spectrum management implications. Bulletin, 70, 1–24.
76.
Rangan, S., Rappaport, T. S., & Erkip, E. (2014). Millimeter-wave cellular wireless networks: Potentials and challenges. Proceedings of the IEEE, 102(3), 366–385.CrossRef
77.
Khan, F., Pi, Z., & Rajagopal, S. (2012, October). Millimeter-wave mobile broadband with large scale spatial processing for 5G mobile communication. In Annual allerton conference on communication, control, and computing (pp. 1517–1523). IEEE.
78.
Viriyasitavat, W., Boban, M., Tsai, H. M., & Vasilakos, A. (2015). Vehicular communications: Survey and challenges of channel and propagation models. Vehicular Technology Magazine, IEEE, 10(2), 55–66.CrossRef
79.
Sommer, C., Eckhoff, D., German, R., & Dressler, F. (2011, January). A computationally inexpensive empirical model of IEEE 802.11 p radio shadowing in urban environments. In Eighth international conference on wireless on-demand network systems and services (pp. 84–90). IEEE.
Metadaten
Titel
Study of Indoor Path Loss Computational Models for Femtocell Based Mobile Network
verfasst von
Priti Deb
Anwesha Mukherjee
Debashis De
Publikationsdatum
03.02.2017
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 3/2017
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-3983-z

Weitere Artikel der Ausgabe 3/2017

Wireless Personal Communications 3/2017 Zur Ausgabe

OriginalPaper

Composite Fault Diagnosis in Wireless Sensor Networks Using Neural Networks

OriginalPaper

A Novel Energy Efficient Stable Clustering Approach for Wireless Sensor Networks

OriginalPaper

An Improved Endpoint Detection Algorithm Based on MFCC Cosine Value

OriginalPaper

Research on Time Synchronization Algorithm of High Precision and Low Power Consumption Based on IRBRS WSNs

OriginalPaper

Interference Alignment Algorithm Based on Feedback Concentration in D2D Communications

OriginalPaper

A Delay Aware Super-Peer Selection Algorithm for Gradient Topology Utilizing Learning Automata

Neuer Inhalt

    Bildnachweise