http://iet.metastore.ingenta.com
1887

Location-based coverage and capacity analysis of a two tier HetNet

Location-based coverage and capacity analysis of a two tier HetNet

For access to this article, please select a purchase option:

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Communications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Stochastic geometry tool is an accurate and tractable approach to analyse the performance characteristics of heterogeneous networks (HetNets) with unplanned deployment of base stations (BSs). In this study, the authors analyse the downlink coverage and capacity by taking into account the separation between the macro BS (MBS) and small BSs (SBSs) in a HetNet. MBSs, SBSs, and users are spatially distributed as independent Poisson point processes. The whole space is divided into inner and outer subspaces around the MBSs and a typical user is assumed to be in outer subspace. Analysis on the typical user in the outer subspace incorporates the effect of distance of SBSs from MBS. They derive the expressions for the coverage probability of an outer subspace typical user from SBS and MBS. They also derive the expressions for rate coverage of an outer subspace typical user from SBS and MBS. These metrics are analysed with varying inner subspace radius to incorporate the effect of BSs separation. Simulation results show that SBSs away from MBS in the coverage region of MBS provide good performance to their associated users in terms of coverage probability and rate coverage.

References

    1. 1)
      • 1. Li, Y., Liao, C., Wang, Y., et al: ‘Energy-efficient optimal relay selection in cooperative cellular networks based on double auction’, IEEE Trans. Wirel. Commun., 2015, 14, (8), pp. 40934104.
    2. 2)
      • 2. Muhammad, F., Abbas, Z.H., Li, F.Y.: ‘Cell association with load balancing in non-uniform heterogeneous cellular networks: coverage probability and rate analysis’, IEEE Trans. Veh. Technol. (TVT), 2016, 99, pp. 115.
    3. 3)
      • 3. Li, Y., Zhu, X., Liao, C., et al: ‘Energy efficiency maximization by jointly optimizing the positions and serving range of relay stations in cellular networks’, IEEE Trans. Veh. Technol., 2015, 65, (6), pp. 25512560.
    4. 4)
      • 4. Li, Y., Celebi, H., Danishmand, M., et al: ‘Energy efficient femtocell networks: challenges and opportunities’, IEEE Wirel. Commun., 2013, 20, (6), pp. 99105.
    5. 5)
      • 5. Qiuyan, L., Zhigang, S.: ‘Design of picocells in heterogeneous networks’. Proc. Int. Conf. on Measuring Technology and Mechatronics Automation (ICMTMA), Hong Kong, January 2013, pp. 452455.
    6. 6)
      • 6. Xu, L., Fang, H., Lin, Z.: ‘Evolutionarily stable opportunistic spectrum access in cognitive radio networks’, IET Commun., 2016, 10, (17), pp. 22902299.
    7. 7)
      • 7. Ghosh, A., Mangalvedhe, N., Ratasuk, R., et al: ‘Heterogeneous cellular networks: from theory to practice’, IEEE Commun. Mag., 2012, 50, (6), pp. 5464.
    8. 8)
      • 8. Hu, L., Sanchez, L.L., Maternia, M., et al: ‘Heterogeneous LTE-advanced network expansion for 1000× capacity’. Proc. IEEE Vehicular Technology Conf. (VTC), Dresden, Germany, June 2013, pp. 15.
    9. 9)
      • 9. Okino, K., Nakayama, T., Yamazaki, C., et al: ‘Picocell range expansion with interference mitigation toward LTE-advanced heterogeneous networks’. Proc. IEEE Int. Conf. on Communication (ICC), Kyoto, Japan, June 2011, pp. 15.
    10. 10)
      • 10. Muhammad, F., Abbas, Z.H., Abbas, G., et al: ‘Decoupled downlink–uplink coverage analysis of enriched heterogeneous cellular network model with interference management’, IEEE Access, 2016, 4, pp. 62506260.
    11. 11)
      • 11. Tian, P., Tian, H., Gao, L., et al: ‘Deployment analysis and optimization of macro-pico heterogeneous networks in LTE-A system’. Proc. 15th Int. Symp. on Wireless Personal Multimedia Communications (WPMC), Taipei, Taiwan, September 2012, pp. 246250.
    12. 12)
      • 12. Landstrom, S., Murai, H., Simonsson, A.: ‘Deployment aspects of LTE pico nodes’. Proc. IEEE Int. Conf. on Communication (ICC), Kyoto, Japan, June 2011, pp. 15.
    13. 13)
      • 13. Wyner, A.D.: ‘Shannon-theoretic approach to a Gaussian cellular multiple-access channel’, IEEE Trans. Inf. Theory, 1994, 40, (6), pp. 17131727.
    14. 14)
      • 14. Shamai, S., Wyner, A.D.: ‘Information-theoretic considerations for symmetric, cellular, multiple-access fading channels – parts I and II’, IEEE Trans. Inf. Theory, 1997, 43, (11), pp. 18771911.
    15. 15)
      • 15. Somekh, O., Shamai, S.: ‘Shannon-theoretic approach to a Gaussian cellular multi-access channel with fading’, IEEE Trans. Inf. Theory, 2000, 46, (4), pp. 14011425.
    16. 16)
      • 16. Rappaport, T.S.: ‘Wireless communications: principles and practice’ (Prentice-Hall, New Jersey, 2002, 2nd edn.).
    17. 17)
      • 17. Goldsmith, A.J.: ‘Wireless communications’ (Cambridge University Press, Cambridge, 2005).
    18. 18)
      • 18. Haenggi, M., Andrews, J.G., Baccelli, F., et al: ‘Stochastic geometry and random graphs for the analysis and design of wireless networks’, IEEE J. Sel. Areas Commun., 2009, 27, (7), pp. 10291046.
    19. 19)
      • 19. Baccelli, F., Blaszczyszyn, B.: ‘Stochastic geometry and wireless networks, volume-I: theory’ (Foundations and Trends in Networking-Now Publishers, 2009).
    20. 20)
      • 20. Baccelli, F., Blaszczyszyn, B.: ‘Stochastic geometry and wireless networks, volume II: applications’ (Foundations and Trends in Networking-Now Publishers, 2009).
    21. 21)
      • 21. ElSawy, H., Sultan-Salem, A., Alouini, M.S., et al: ‘Modeling and Analysis of Cellular Networks Using Stochastic Geometry: A Tutorial’, IEEE Commun. Surv. Tutor., First quarter2017, 19, (1), pp. 167203.
    22. 22)
      • 22. Andrews, J.G., Baccelli, F., Ganti, R.K.: ‘A tractable approach to coverage and rate in cellular networks’, IEEE Trans. Commun., 2011, 59, (11), pp. 31223134.
    23. 23)
      • 23. Dhillon, H.S., Ganti, R.K., Andrews, J.G.: ‘A tractable framework for coverage and outage in heterogeneous cellular networks’. Proc. Information Theory and Applications Workshop (ITA), CA, USA, February 2011, pp. 16.
    24. 24)
      • 24. Dhillon, H.S., Ganti, R.K., Baccelli, F., et al: ‘Coverage and ergodic rate in K-tier downlink heterogeneous cellular networks’. Proc. Allerton Conf. on Communication, Control, and Computing, Monticello, USA, September 2011, pp. 16271632.
    25. 25)
      • 25. Jo, H., Sang, Y., Xia, P., et al: ‘Heterogeneous cellular networks with flexible cell association: a comprehensive downlink SINR analysis’, IEEE Trans. Wirel. Commun., 2012, 11, (10), pp. 112.
    26. 26)
      • 26. Singh, S., Andrews, J.G.: ‘Joint resource partitioning and offloading in heterogeneous cellular networks’, IEEE Trans. Wirel. Commun., 2014, 13, (2), pp. 888901.
    27. 27)
      • 27. Stoyan, D., Kendall, W.S., Mecke, J.: ‘Stochastic geometry and its applications’ (John Wiley & Sons Ltd., 1995, 2nd edn.).
    28. 28)
      • 28. Wang, H., Zhou, X., Reed, M.C.: ‘Analytical evaluation of coverage-oriented femtocell network deployment’. Proc. IEEE Int. Conf. on Communications (ICC), Budapest, Hungary, June 2013, pp. 59745979.
    29. 29)
      • 29. Singh, S., Dhillon, H.S., Andrews, J.G.: ‘Offloading in heterogeneous networks: modeling, analysis, and design insights’, IEEE Trans. Wirel. Commun., 2013, 12, (5), pp. 24842497.
    30. 30)
      • 30. Ferenc, J.S., Néda, Z.: ‘On the size distribution of Poisson–Voronoi cells’, Phys. A, Stat. Mech. Appl., 2007, 385, (2), pp. 518526.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com.2016.1244
Loading

Related content

content/journals/10.1049/iet-com.2016.1244
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address