Title :
Modeling and Analysis of K-Tier Downlink Heterogeneous Cellular Networks
Author :
Dhillon, Harpreet S. ; Ganti, Radha Krishna ; Baccelli, François ; Andrews, Jeffrey G.
Author_Institution :
WNCG, Univ. of Texas at Austin, Austin, TX, USA
fDate :
4/1/2012 12:00:00 AM
Abstract :
Cellular networks are in a major transition from a carefully planned set of large tower-mounted base-stations (BSs) to an irregular deployment of heterogeneous infrastructure elements that often additionally includes micro, pico, and femtocells, as well as distributed antennas. In this paper, we develop a tractable, flexible, and accurate model for a downlink heterogeneous cellular network (HCN) consisting of K tiers of randomly located BSs, where each tier may differ in terms of average transmit power, supported data rate and BS density. Assuming a mobile user connects to the strongest candidate BS, the resulting Signal-to-Interference-plus-Noise-Ratio (SINR) is greater than 1 when in coverage, Rayleigh fading, we derive an expression for the probability of coverage (equivalently outage) over the entire network under both open and closed access, which assumes a strikingly simple closed-form in the high SINR regime and is accurate down to -4 dB even under weaker assumptions. For external validation, we compare against an actual LTE network (for tier 1) with the other K-1 tiers being modeled as independent Poisson Point Processes. In this case as well, our model is accurate to within 1-2 dB. We also derive the average rate achieved by a randomly located mobile and the average load on each tier of BSs. One interesting observation for interference-limited open access networks is that at a given sinr, adding more tiers and/or BSs neither increases nor decreases the probability of coverage or outage when all the tiers have the same target-SINR.
Keywords :
Long Term Evolution; Rayleigh channels; cellular radio; stochastic processes; HCN; K-tier downlink heterogeneous cellular networks; LTE network; Rayleigh fading; SINR; heterogeneous infrastructure; independent Poisson point processes; interference-limited open access networks; signal-to-interference-plus-noise-ratio; tower-mounted base-stations; Analytical models; Fading; Femtocells; Interference; Load modeling; Mobile communication; Signal to noise ratio; Femtocells; coverage probability; heterogeneous cellular networks; point process theory; stochastic geometry;
Journal_Title :
Selected Areas in Communications, IEEE Journal on
DOI :
10.1109/JSAC.2012.120405