Abstract
Stochastic geometry has clinched notability in the past several years. It is a robust mathematical tool for analyzing wireless systems due to its tractability in nature. In this work, a flexible and docile model has been proposed for heterogeneous wireless networks consisting of tightly coupled Long Term Evolution (LTE) Small cell eNodeBs (SeNBs) and Wireless Fidelity (Wi-Fi) Access Points (APs). By the assistance of stochastic geometry, the key performance metrics of LTE–Wi-Fi Aggregation (LWA) system have been analyzed in non co-located scenario. The positions of SeNBs and APs are modeled as two independent homogeneous Poisson Point Processes (PPPs). Enabling LWA operation with an arbitrary number of Wi-Fi APs in a given region may not ensure maximum rate and coverage for the mobile operators. A novel scheme, coined as, InterfereNCe Aware matéRN hArd-core poinT procEss (INCARNATE) has been proposed to increase the performance of LWA system by allowing LWA operation with a chosen subset of Wi-Fi APs available at the disposal. We derive Signal-to-Interference-plus-Noise Ratio (SINR) distribution of UEs which are associated with SeNB, AP or LWA node (i.e., SeNB and AP). This further helps to find out the joint coverage probability and average data rate over the network. In addition to the density of APs, the velocity of UEs plays a vital role in analyzing Key Performance Indicators (KPIs) of the system. So, INCARNATE scheme has been further extended to mINCARNATE scheme wherein mobility of UEs is introduced in the LWA system. A handover model of LWA system has been proposed by considering the mobility of the UEs. Expected number of handovers and average data rate have been analytically measured. Average number of handovers observed per UE and throughput of UEs have been empirically evaluated by varying velocity of UE. Further, cost is defined as a function of velocity of UEs, number of handovers, and density of deployment. Capital Expenditures (CAPEX) and Operational Expenditures (OPEX) can be minimized for a given user velocity by operating at minimal cost value. INCARNATE scheme outperforms the traditional MHCPP scheme by 73% and 17% in terms of data rate and coverage probability, respectively. Similarly, LWA with INCARNATE scheme excels by 51% and 6.23% as compared to regular LWA in terms of data rate and coverage probability, respectively. The proposed cost function assists to obtain the optimal deployment of LWA nodes using mINCARNATE scheme. LWA with mINCARNATE scheme improves the throughput by 53% as compared to native LWA handover scheme.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alfano, G., et al.: New insights into the stochastic geometry analysis of dense CSMA networks. In: IEEE INFOCOM, pp. 2642–2650 (2011)
Andrews, J.G., Gupta, A.K., Dhillon, H.S.: A primer on cellular network analysis using stochastic geometry. CoRR (2016)
Andrews, J.G., et al.: A tractable approach to coverage and rate in cellular networks. IEEE Trans. Commun. 59(11), 3122–3134 (2011)
Baccelli, F., et al.: Stochastic geometry and wireless networks: volume ii applications. Found. Trends® Network. 4(1–2), 1–312 (2010)
Buchholz, H.: The Confluent Hypergeometric Function: With Special Emphasis on Its Applications, vol. 15. Springer Science & Business Media, Heidelberg (2013)
Chiu, S.N., et al.: Stochastic Geometry and Its Applications. John Wiley & Sons, Singapore (2013)
ElSawy, H., et al.: Stochastic geometry for modeling, analysis, and design of multi-tier and cognitive cellular wireless networks: a survey. IEEE Commun. Surv. Tutorials 15(3), 996–1019 (2013)
Haenggi, M.: Stochastic Geometry for Wireless Networks. Cambridge University Press, New York (2012)
Herman, B., et al.: Extensions to LTE mobility functions for ns-3. In: Proceedings of the 2014 Workshop on Ns-3, pp. 2:1–2:8. ACM, New York (2014)
Hoymann, C., Larsson, D., Koorapaty, H., Cheng, J.F.: A lean carrier for LTE. IEEE Commun. Mag. 51(2), 74–80 (2013)
Intel, China, Qualcomm: LTE-WLAN Radio Level Integration and Interworking Enhancement (2015). https://goo.gl/n3euVC
Lin, X., et al.: Towards understanding the fundamentals of mobility in cellular networks. IEEE Trans. Wireless Commun. 12(4), 1686–1698 (2013)
Ling, J., et al.: Enhanced capacity and coverage by Wi-Fi LTE integration. IEEE Commun. Mag. 53(3), 165–171 (2015)
Mahmoodi, T., Seetharaman, S.: On using a SDN-based control plane in 5G mobile networks. In: Wireless World Research Forum, Meeting, vol. 32 (2014)
Nguyen, H.Q., et al.: A stochastic geometry analysis of dense IEEE 802.11 networks. In: IEEE INFOCOM, pp. 1199–1207 (2007)
Sumanta, P., et al.: INCARNATE: an interference aware spatial scheme for tightly coupled LTE-Wi-Fi networks. In: Proceedings of IEEE COMSNETS (2018)
Thakkar, M.K., et al.: Reducing ping-pong handovers in LTE by using A1-based measurements. In: Proceedings of NCC (2017)
Thomas Valerrian Pasca, S., et al.: Tightly coupled LTE Wi-Fi radio access networks: a demo of LWIP. In: Proceedings of IEEE COMSNETS (2017)
Venkataraman, J., et al.: Shot noise models for outage and throughput analyses in wireless ad hoc networks. In: IEEE MILCOM, pp. 1–7 (2006)
Wang, X., Quek, T.Q.S., Sheng, M., Li, J.: On the coexistence of Wi-Fi and LTE-U in unlicensed spectrum. In: IEEE ICC, pp. 1–6, May 2017
Wang, X., et al.: On the performance analysis of downlink heterogeneous networks with dual connectivity. In: IEEE WCSP (2016)
Weber, S.P., et al.: Transmission capacity of wireless ad hoc networks with outage constraints. IEEE Trans. Inf. Theor. 51(12), 4091–4102 (2005)
Win, M.Z., et al.: A mathematical theory of network interference and its applications. Proce. IEEE 97(2), 205–230 (2009)
Zhang, H., et al.: A novel handover mechanism between femtocell and macrocell for LTE based networks. In: ICCSN, pp. 228–231. IEEE (2010)
Acknowledgement
This work was supported by the project “Converged Cloud Communication Technologies”, MeitY, Govt. of India.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Patro, S., Santhappan, T.V.P., Tamma, B.R., Franklin, A.A. (2019). mINCARNATE: An Interference and Mobility Aware Spatial Scheme for Tightly Coupled LTE–Wi-Fi Networks. In: Biswas, S., et al. Communication Systems and Networks. COMSNETS 2018. Lecture Notes in Computer Science(), vol 11227. Springer, Cham. https://doi.org/10.1007/978-3-030-10659-1_6
Download citation
DOI: https://doi.org/10.1007/978-3-030-10659-1_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-10658-4
Online ISBN: 978-3-030-10659-1
eBook Packages: Computer ScienceComputer Science (R0)