Top

Wireless Personal Communications

Published in:

28-07-2022

Modeling D2D Underlaying Cellular Network for Hotspot Communications with Poisson Cluster and Hole Processes

Authors: Xiangdong Jia, Zhemin Wei, Zhenchao Hao, Yuhua Ouyang

Published in: Wireless Personal Communications | Issue 4/2022

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

This paper develops a new approach to the modeling and analysis of device-to-device (D2D) underlaying multi-tier cellular network for dense hotspot communications, which consists of macro base stations (MBSs), pico BSs (PBSs), femto BSs (FBSs). A typicl user equipment (UE) can work either in D2D mode or cellular mode. Considering the dense hotspot communications, this work employs Poisson point process (PPP) to model the locations of MBSs and PBSs, and uses Poisson cluster process (PCP) to model the ones of UEs and FBSs. The locations of PBSs are also modeled as the centers of hotspots, referred to as the centers of PCPs. UEs and FBSs cluster around the common parent process PBSs. To guard the cluster-edge UEs, the clustered-UE classification and modified fractional frequency reuse (FFR) are jointly used, by which both the UEs and FBSs are classified two sets, cluster-center UEs and cluster-edge UEs, cluster-center FBSs and cluster-edge FBSs, respectively. The total frequency band is divided into two orthogonal segments, one of which is shared by D2D devices, cluster-edge FBSs, and PBSs, and the other segment of which is shared by cluster-center FBSs and MBSs. For such clustered multi-tier network, by using the methods from PPP, PCP, and PHP, this paper presents a tractable approach for modeling and analyzing the performance of cellular and D2D networks and gives the statistical descriptions of the experienced interferences at a typical D2D or cellular receiver by using the approximated Poisson hole processes (PHP) theory. This yields the derivations of the coverage probabilities of both the D2D receivers and cellular destinations. In additon, during the analysis of cellular UEs, to derive the coverage probabilities, this paper specially constructs one UE association criterion as well as the derivations of both the association probabilities and the statistical descriptions of association distances for cluster-center and cluster-edge UEs. The simulations results exploit the effect of various network parameters on the network performance and give the insights in terms of the proposed schemes as well as the comparison between cluster-center and cluster-edge UEs.

previous article Automated Fault Diagnosis in Wireless Sensor Networks: A Comprehensive Survey

next article A Variant of Long Multiplication Design with Low Power and Area Using Modified 7:3 Compressor for Biomedical Applications

Dont have a licence yet? Then find out more about our products and how to get one now:

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!

inform now

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!

inform now

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!

inform now

Available only for authorised users

Matinmikko-Blue, M., Aalto, S., Asghar, M. I., Berndt, H., Chen, Y., Dixit, S., Jurva, R., Karppinen, P., Kekkonen, M., Kinnula, M. and Kostakos, P. (2021). White paper on 6G drivers and the UN SDGs. Wireless Personal Communications.

Mathur, H., & Deepa, T. (2021). A survey on advanced multiple access techniques for 5G and beyond wireless communications. Wireless Personal Communications, 118(2), 1775–1792.CrossRef

Chopra, S., & Kakkar, A. (2021). Capacity analysis of hybrid MIMO using sparse signal processing in mmW 5G heterogeneous wireless networks. Wireless Personal Communications, 116(3), 2651–2673.CrossRef

Xu, Y., Gui, G., Gacanin, H., & Adachi, F. (2021). A survey on resource allocation for 5G heterogeneous networks: Current research, future trends and challenges. IEEE Communications Surveys Tutorials, 23(2), 668–695.CrossRef

Jiang, W., Han, B., Habibi, M. A., & Schotten, H. D. (2021). The road towards 6G: A comprehensive survey. IEEE Open Journal of the Communications Society, 2, 334–366.CrossRef

Lopez-Perez, D., Guvenc, I., De la Roche, G., Kountouris, M., Quek, T. Q., & Zhang, J. (2011). Enhanced intercell interference coordination challenges in heterogeneous networks. IEEE Wireless Communications, 18(3), 22–30.CrossRef

Ansari, R. I., Chrysostomou, C., Hassan, S. A., Guizani, M., Mumtaz, S., Rodriguez, J., & Rodrigues, J. J. P. C. (2018). 5G D2D networks: Techniques, challenges, and future prospects. IEEE Systems Journal, 12(4), 3970–3984.CrossRef

Cao, Y., Lv, T., Ni, W., & Lin, Z. (2021). Sum-rate maximization for multi-reconfigurable intelligent surface-assisted device-to-device communications. IEEE Transactions on Communications, 69(11), 7283–7296.CrossRef

Waqas, M., Niu, Y., Li, Y., Ahmed, M., Jin, D., Chen, S., & Han, Z. (2020). A comprehensive survey on mobility-aware D2D communications: Principles, practice and challenges. IEEE Communications Surveys Tutorials, 22(3), 1863–1886.CrossRef

10.

Kader, M. F., Islam, S. R., & Dobre, O. A. (2021). Device-to-device aided cooperative NOMA transmission exploiting overheard signal. IEEE Transactions on Wireless Communications, 21(2), 1304–1318.CrossRef

11.

Badri, S., & Rasti, M. (2020). Interference management and duplex mode selection in in-band full duplex D2D communications: A stochastic geometry approach. IEEE Transactions on Mobile Computing, 20(6), 2212–2223.CrossRef

12.

Cao, Y., Jiang, T., & Wang, C. (2015). Cooperative device-to-device communications in cellular networks. IEEE Wireless Communications, 22(3), 124–129.CrossRef

13.

Wang, Y., Chen, M., Huang, N., Yang, Z., & Pan, Y. (2018). Joint power and channel allocation for D2D underlaying cellular networks with rician fading. IEEE Communications Letters, 22(12), 2615–2618.CrossRef

14.

Ramezani-Kebrya, A., Dong, M., Liang, B., Boudreau, G., & Seyedmehdi, S. H. (2017). Joint power optimization for device-to-device communication in cellular networks with interference control. IEEE Transactions on Wireless Communications, 16(8), 5131–5146.CrossRef

15.

Hyadi, A., Labeau, F. (2019). Towards a win-win spectrum sharing channel: A secrecy perspective. In ICC 2019—2019 IEEE International Conference on Communications (ICC) (pp. 1–6).

16.

Wu, D., Zhou, L., & Lu, P. (2021). Win-win-driven D2D content sharing. IEEE Internet of Things Journal, 8(9), 7346–7359.CrossRef

17.

Novlan, T. D., & Andrews, J. G. (2013). Analytical evaluation of uplink fractional frequency reuse. IEEE Transactions on Communications, 61(5), 2098–2108.CrossRef

18.

Jeon, W. S., Kim, J., & Jeong, D. G. (2014). Downlink radio resource partitioning with fractional frequency reuse in femtocell networks. IEEE Transactions on Vehicular Technology, 63(1), 308–321.CrossRef

19.

García-Morales, J., Femenias, G., & Riera-Palou, F. (2016). Analysis and optimization of FFR-aided OFDMA-based heterogeneous cellular networks. IEEE Access, 4, 5111–5127.CrossRef

20.

Zhao, J., Bao, B., Yang, H., Oki, E., & Chatterjee, B. C. (2019). Holding-time- and impairment-aware shared spectrum allocation in mixed-line-rate elastic optical networks. IEEE/OSA Journal of Optical Communications and Networking, 11(6), 322–332.CrossRef

21.

Okati, N., Riihonen, T., Korpi, D., Angervuori, I., & Wichman, R. (2020). Downlink coverage and rate analysis of low earth orbit satellite constellations using stochastic geometry. IEEE Transactions on Communications, 68(8), 5120–5134.CrossRef

22.

Hou, T., Liu, Y., Song, Z., Sun, X., & Chen, Y. (2020). UAV-to-everything (U2X) networks relying on NOMA: A stochastic geometry model. IEEE Transactions on Vehicular Technology, 69(7), 7558–7568.CrossRef

23.

Chen, C., Elliott, R. C., Krzymień, W. A.(2013). Downlink coverage analysis of N-tier heterogeneous cellular networks based on clustered stochastic geometry. In 2013 Asilomar Conference on Signals, Systems and Computers (pp. 1577–1581).

24.

ElSawy, H., Sultan-Salem, A., Alouini, M., & Win, M. Z. (2017). Modeling and analysis of cellular networks using stochastic geometry: A tutorial. IEEE Communications Surveys Tutorials, 19(1), 167–203.CrossRef

25.

Deb, P., Mukherjee, A., & De, D. (2020). Fractional frequency reuse based frequency allocation for 5G HetNet using master-slave algorithm. Physical Communication, 42, 101158.CrossRef

26.

Khan, S. A., Kavak, A., Aldirmaz Colak, S., & Kucuk, K. (2019). A novel fractional frequency reuse scheme for interference management in LTE-A HetNets. IEEE Access, 7, 109662–109672.CrossRef

27.

Saha, C., Afshang, M., Dhillon, H. S. (2017). Poisson cluster process: Bridging the gap between PPP and 3GPP hetnet models. In 2017 Information Theory and Applications Workshop (ITA) (pp. 1–9).

28.

Ma, Z., Nuermaimaiti, N., & Wang, L. (2020). Performance analysis of D2D-aided underlaying cellular networks based on poisson hole cluster process. Wireless Personal Communications, 111(4), 2369–2389.CrossRef

29.

Sattari, M., & Abbasfar, A. (2021). Modeling and analyzing of millimeter wave heterogeneous cellular networks by poisson hole process. Wireless Personal Communications, 116(4), 2777–2804.CrossRef

30.

Chun, Y. J., Hasna, M. O., Ghrayeb, A. (2014). Modeling and analysis of HetNet interference using poisson cluster processes. In 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC) (pp. 681–686).

31.

Afshang, M., Dhillon, H. S. (2017). A new clustered HetNet model to accurately characterize user-centric small cell deployments. In 2017 IEEE Wireless Communications and Networking Conference (WCNC) (pp. 1–6).

32.

Saha, C., Afshang, M., & Dhillon, H. S. (2020). Meta distribution of downlink SIR in a poisson cluster process-based hetnet model. IEEE Wireless Communications Letters, 9(12), 2144–2148.CrossRef

33.

Shi, W., Zhang, Z., Huang, Y., & Xu, W. (2021). Analysis of D2D-aided underlaying uplink cellular networks using poisson hole process. IEEE Access, 9, 12521–12532.CrossRef

34.

PanZiyu, Y., BaoZiyong, H. (2018). Approximate coverage analysis of heterogeneous cellular networks modeled by poisson hole process. In 2018 IEEE 18th International Conference on Communication Technology (ICCT) (pp. 424–427).

35.

Ji, P., Jia, X., Lu, Y., Hu, H., & Ouyang, Y. (2020). Multi-uav assisted multi-tier millimeter-wave cellular networks for hotspots with 2-tier and 4-tier network association. IEEE Access, 8, 158972–158995.CrossRef

36.

Afshang, M., Dhillon, H. S., & Joo Chong, P. H. (2016). Modeling and performance analysis of clustered device-to-device networks. IEEE Transactions on Wireless Communications, 15(7), 4957–4972.

37.

Yi, W., Liu, Y., Nallanathan, A. (2018). Modeling and analysis of clustered D2D millimeter-wave communications. In 2018 International Conference on Computing, Networking and Communications (ICNC) (pp. 475–479).

38.

Dhillon, H. S., Ganti, R. K., Baccelli, F., & Andrews, J. G. (2012). Modeling and analysis of K-tier downlink heterogeneous cellular networks. IEEE Journal on Selected Areas in Communications, 30(3), 550–560.CrossRef

39.

Jo, H. S., Sang, Y. J., Xia, P., Andrews, J.G. (2011). Outage probability for heterogeneous cellular networks with biased cell association. In 2011 IEEE Global Telecommunications Conference—GLOBECOM 2011 (pp. 1–5).

40.

Jia, X., Zhou, M., Xie, M., Yang, L., & Zhu, H. (2017). Stochastic geometry based asymptotic analysis for two-tier hetnets with massive MIMO relay employing MRC/MRT and ZF processing. Transactions on Emerging Telecommunications Technologies, 28(4), e3098.CrossRef

41.

Gradshteyn, I. S., & Ryzhik, I. M. (2007). Table of integrals, series, and products. Mathematics of Computation, 20(96), 1157–1160.MATH

42.

Kishk, M. A., & Dhillon, H. S. (2017). Tight lower bounds on the contact distance distribution in poisson hole process. IEEE Wireless Communications Letters, 6(4), 454–457.CrossRef

Title: Modeling D2D Underlaying Cellular Network for Hotspot Communications with Poisson Cluster and Hole Processes
Authors: Xiangdong Jia
Zhemin Wei
Zhenchao Hao
Yuhua Ouyang
Publication date: 28-07-2022
Publisher: Springer US
Published in: Wireless Personal Communications / Issue 4/2022
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI: https://doi.org/10.1007/s11277-022-09917-2

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Other articles of this Issue 4/2022

An Improved Harmony Search Approach for Block Placement for VLSI Design Automation

A Deep Learning Approach to Accurately Predict the κ-Coverage Probability in Wireless Sensor Networks

Dependability-Based Analysis for Ultra-reliable Communication in Heterogeneous Traffic Cognitive Radio Networks with Spectrum Reservation

Data Fusion Algorithm Based on Classification Adaptive Estimation Weighted Fusion in WSN

Comparative Analysis of Full Duplex and Half Duplex Relay for High-Speed Vehicular Scenario

A Flexible Dynamic Master–User Look-Up Table Approach for Evaluation of Trigonometric Values