Stochastic geometry is emerging as tractable solution and attractive approach to evaluate the performance of 5G heterogeneous network (5G-Hetnet) such as coverage, outage and rate probability. The base stations (BSs) and fading distribution in 5G-Hetnet are an almost ubiquitous assumption for analytical study, requiring flexible and scalable approaches. However, the β-Ginibre point process (β-GPP) has been proposed as a new method to model wireless network. This study provides a general framework to analyse downlink mmWave cellular network with Nakagami-m fading and directional beamforming. First, cell association scheme in both line-of-site and non-line-of-site is considered based on the strongest average received power. After deriving cell association probability between user equipment and BS, the computationally coverage probability expression is obtained depending on signal-to-interference-plus-noise ratio. Furthermore, the impact of biasing factor on rate coverage probability is investigated. Finally, considering inter-cell-interference coordination, most performances metrics will be re-evaluated to determine their influence on the network. Recommended approaches produce satisfactory results when biasing factor and antenna beamforming are used.

References

1. 1)
  - 19. Turgut, E., Cenk Gursoy, M.: ‘Coverage in heterogeneous downlink millimeter wave cellular networks’, IEEE Trans. Commun., 2017, 65, (10), pp. 4463–4477.
2. 2)
  - 24. Chen, J., Yuan, C.: ‘Coverage probability and average rate of downlink user-centric wireless cellular networks with composite κ-µ shadowed and lognormal shadowed fading’, IET Commun., 2019, 13, (17), pp. 2805–2813.
3. 3)
  - 10. Bai, T., Heath, R.W.: ‘Coverage and rate analysis for millimeter-wave cellular networks’, IEEE Trans.Wirel. Commun., 2015, 14, (2), pp. 1100–1114.
4. 4)
  - 12. Deng, N., Zhou, W., Haenggi, M.: ‘The Ginibre point process as a model for wireless networks with repulsion’, IEEE Trans. Wireless Commun., 2015, 14, (1), pp. 107–121.
5. 5)
  - 8. Andrews, J.G., Buzzi, S., Choi, W., et al: ‘\What will 5G Be?’, IEEE J. Sel. Areas Commun., 2014, 32, (6), pp. 1065–1082.
6. 6)
  - 25. Yan, Z., Zhou, W., Chen, S., et al: ‘Modeling and analysis of two-tier HetNets with cognitive small cells’, IEEE Access, 2017, 5, pp. 2904–2912.
7. 7)
  - 9. Błaszczyszyn, B., Haenggi, M., Keeler, P.: ‘Stochastic geometry analysis of cellular networks’ (Cambridge University Press, England, 2018).
8. 8)
  - 23. Singh, S., Andrews, J.G.: ‘Joint resource partitioning and offloading in heterogeneous cellular networks’, IEEE Trans. Wirel. Commun., 2014, 13, (2), pp. 888–901.
9. 9)
  - 20. Liu, C.-H., Liang, D.-C.: ‘Heterogeneous networks with power-domain NOMA: coverage, throughput, and power allocation analysis’, IEEE Trans. Wirel. Commun., 2018, 17, (5), pp. 3524–3539.
10. 10)
  - 18. Haenggi, M.: ‘Stochastic geometry for wireless networks’ (Cambridge Univ. Press, Cambridge, U.K, 2012).
11. 11)
  - 5. Cheng, M., Wang, J.-B, Wu, Y., et al: ‘Coverage analysis for millimeter wave cellular networks with imperfect beam alignment’, IEEE Trans. Veh. Technol., 2018, 63, (9), pp. 8302–8314.
12. 12)
  - 17. Torrisi, G.L., Leonardi, E.: ‘Large deviations of the interference in the ginibre network model’, IEEE Trans. Wireless Commun., 2014, 4, (18), pp. 1–33.
13. 13)
  - 7. Andrews, J.G., Bai, T., Kulkarni, M.N., et al: ‘Modeling and analyzing millimeter wave cellular systems’, IEEE Trans. Commun., 2017, 65, (1), pp. 403–430.
14. 14)
  - 4. Belbase, K., Zhang, Z., Jiang, H., et al: ‘Coverage analysis of millimeter wave decode-and-forward networks with best relay selection’, IEEE Access, 2018, 6, pp. 22670–22683.
15. 15)
  - 11. Gao, Y., Yang, S., Wu, S., et al: ‘Coverage probability analysis for mmWave communication network with ABSF-based interference management by stochastic geometry’, IEEE Access, 2019, 7, pp. 133572–133582.
16. 16)
  - 14. Saha, C., Dhillon, H.S., Miyoshi, N., et al: ‘Unified analysis of HetNets using Poisson cluster processes under max-power association’, IEEE Trans. Wirel. Commun., 2019, 18, (8), pp. 3797–3812.
17. 17)
  - 21. Ding, M., Wang, P., Pérez, D.-L., et al: ‘Performance impact of Los and NLoS transmissions in dense cellular networks’, IEEE Trans. Wirel. Commun., 2016, 15, (3), pp. 2365–2380.
18. 18)
  - 6. Bartoli, G., Fantacci, R., Letaief, K. B., et al: ‘Beamforming for small cell deployment in LTE-advanced and beyond’, IEEE Wirel. Commun., 2014, 21, (2), pp. 50–56.
19. 19)
  - 13. Wei, H., Deng, N., Zhou, W., et al: ‘Approximate SIR analysis in general heterogeneous cellular networks’, IEEE Trans. Commun., 2016, 64, (3), pp. 1259–1273.
20. 20)
  - 15. Ouamri, M.A., Oteşteanu, M.-E., Isar, A., et al: ‘Coverage, handoff and cost optimization for 5G heterogeneous network’, Phys. Commun., 2020, 39, pp. 1–8.
21. 21)
  - 26. Liu, Y., Qin, Z., Elkashlan, M., et al: ‘Nonorthogonal multiple access in large-scale heterogeneous networks’, IEEE J. Sel. Areas Commun., 2017, 35, (12), pp. 2667–2680.
22. 22)
  - 3. Rappaport, T., Sun, S., Mayzus, R., et al: ‘Millimeter wave mobile communications for 5G cellular: it will work!’, IEEE Access, 2013, 1, pp. 335–349.
23. 23)
  - 2. Akdeniz, M.R., Liu, Y., Samimi, M.K., et al: ‘Millimeter wave channel modeling and cellular capacity evaluation’, IEEE J. Sel. Areas Commun., 2014, 32, (6), pp. 1164–1179.
24. 24)
  - 22. Bai, T., Vaze, R., Heath, R. WJr.: ‘Analysis of blockage effects on urban cellular networks’, IEEE Trans. Wireless Commun., 2014, 13, (9), pp. 5070–5083.
25. 25)
  - 16. Jafari, A.H., Pérez, D.L., Ding, M., et al: ‘Performance analysis of dense small cell networks with practical antenna heights under rician fading’, IEEE Access, 2017, 6, pp. 9960–9974.
26. 26)
  - 1. Pervez, M.M., Abbas, Z.H, Muhammad, F., et al: ‘Location-based coverage and capacity analysis of a two tier HetNet’, IET Commun., 2017, 11, (7), pp. 1067–1073.

Coverage and rate analysis for 5G-heterogeneous network: β-Ginibre point process

References

Related content