On Association Cells in Random Heterogeneous Networks

Characterizing user to access point (AP) association strategies in heterogeneous cellular networks (HetNets) is critical for their performance analysis, as it directly influences the load across the network. In this letter, we introduce and analyze a class of association strategies, which we term stationary association, and the resulting association cells. For random HetNets, where APs are distributed according to a stationary point process, the area of the resulting association cells are shown to be the marks of the corresponding point process. Addressing the need of quantifying the load experienced by a typical user, a "Feller-paradox" like relationship is established between the area of the association cell containing origin and that of a typical association cell. For the specific case of Poisson point process and max power/\SINR association, the mean association area of each tier is derived and shown to increase with channel gain variance and decrease in the path loss exponents of the corresponding tier.

[1]  François Baccelli,et al.  Stochastic Geometry and Wireless Networks, Volume 1: Theory , 2009, Found. Trends Netw..

[2]  Jeffrey G. Andrews,et al.  A Tractable Approach to Coverage and Rate in Cellular Networks , 2010, IEEE Transactions on Communications.

[3]  F. Baccelli,et al.  On a coverage process ranging from the Boolean model to the Poisson–Voronoi tessellation with applications to wireless communications , 2001, Advances in Applied Probability.

[4]  Jeffrey G. Andrews,et al.  An overview of load balancing in hetnets: old myths and open problems , 2013, IEEE Wireless Communications.

[5]  Holger Paul Keeler,et al.  Using Poisson processes to model lattice cellular networks , 2013, 2013 Proceedings IEEE INFOCOM.

[6]  Timothy X. Brown,et al.  Downlink coverage analysis in a heterogeneous cellular network , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[7]  Günter Last Stationary partitions and Palm probabilities , 2006, Advances in Applied Probability.

[8]  Jeffrey G. Andrews,et al.  Joint Resource Partitioning and Offloading in Heterogeneous Cellular Networks , 2013, IEEE Transactions on Wireless Communications.

[9]  Jeffrey G. Andrews,et al.  Offloading in Heterogeneous Networks: Modeling, Analysis, and Design Insights , 2012, IEEE Transactions on Wireless Communications.

[10]  Holger Paul Keeler,et al.  Equivalence and comparison of heterogeneous cellular networks , 2013, 2013 IEEE 24th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC Workshops).

[11]  F. Baccelli,et al.  Stochastic Geometry and Wireless Networks, Part I: Theory , 2009 .

[12]  Jeffrey G. Andrews,et al.  Modeling and Analysis of K-Tier Downlink Heterogeneous Cellular Networks , 2011, IEEE Journal on Selected Areas in Communications.