Abstract
This paper proposes an analytical study of downlink macrodiversity. Considering a mobile in macrodiversity with two base stations, we first characterize and compute explicitely the load induced in a cell by downlink macrodiversity. We show that in most cases this load is positive, increasing the total cell load. We moreover show that the contribution of the macrodiversity to the cell load can be negative in the sense that the macrodiversity can increase the cell’s capacity. Afterward, we propose a new framework for the study of cellular networks called the fluid model which allows to calculate analytically that load. The key idea of the fluid model is to approximate the discrete base stations (BS) entities by a continuum of transmitters which are spatially distributed in the network. This allows us to obtain simple analytical expressions of the main characteristics of the network. In this paper, we focus on the downlink other-cell interference factor f, which we define here as the ratio of outer cell received power (i.e. the power received from other cells) to the inner cell received power. This fluid model allows calculating the influence of interference on any mobile in a cell, whatever its position. The fluid analysis we develop enables to calculate the load of a cell analytically, and to quantify the macrodiversity impact. We generalize our analysis, considering a macrodiversity with a great number of base stations of the network.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Elayoubi, S. E., & Chahed, T. (2005). Admission control in the downlink of WCDMA/UMTS. Lect. Notes Comput. Sci. Berlin: Springer.
Gilhousen, K. S., Jacobs, I. M., Padovani, R., Viterbi, A. J., Weaver, L. A., & Wheatley, C. E. (1991). On the capacity of cellular CDMA system. IEEE Transactions on Vehicular Technology 40(2).
Kelif, J.-M., & Altman, E. (2005). Downlink fluid model for CDMA Networks. Stockholm: VTC.
Kelif, J.-M. (April 2006). Admission control for fluid CDMA networks. WiOpt06, Boston,
Lagrange, X. (2005). Principes et évolutions de l’UMTS. Paris: Hermes.
Laiho, J., Wacker, A., & Novosad, T. Radio network planning and optimisation for UMTS.
Kelif, J.-M. (February 2008). Modèle fluide de réseaux sans fils. Thesis, Ecole Nationale Supérieure de Télécommunication de Paris.
Hiltunen, K., & De Bernardi, R. (2000). WCDMA downlink capacity estimation (pp. 992–996). VTC 2000
Bordenave, C. (February 2004). Optimal power allocation in CDMA networks with macrodiversity. Report INRIA RR-5102.
Hanly, S. V. (1996). Capacity and power control in spread spectrum macrodiversity radio networks. IEEE Transactions on Communications, 44(2), 247–256.
Aktas, D., Bacha, M. N., Evans, J. S., & Hanly, S. V. (2006). Scaling results on the sum capacity of cellular networks with MIMO links. IEEE Transactions on Information Theory, 52(7).
Toumpis, S., & Tassiulas, L. (March 2005). Packetostatics deployment of massively dense sensor networks as an electrostatics problem. In Proc. of INFOCOM.
Jacquet, P. (May 2004). Geometry of information propagation in massively dense adhoc networks. In Proc. ACM MobiHOC, Roppongi Hills, Japan (pp. 157–162).
Viterbi, A. J., Viterbi, A. M., & Zehavi, E. (1994) Other-cell interference in cellular power-controlled CDMA. IEEE Transactions on Communications, 42(2–4).
Viterbi, A. J. (1995). CDMA—principles of spread spectrum communication. Reading: Addison-Wesley.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Kelif, JM., Altman, E. Impact of macrodiversity on capacity and coverage of cellular network. Telecommun Syst 43, 133 (2010). https://doi.org/10.1007/s11235-009-9199-0
Published:
DOI: https://doi.org/10.1007/s11235-009-9199-0