Modeling and Analysis of K-Tier Downlink Heterogeneous Cellular Networks
Harpreet S. Dhillon, Radha Krishna Ganti, Francois Baccelli and, Jeffrey G. Andrews

TL;DR
This paper develops a comprehensive mathematical model for K-tier heterogeneous cellular networks, accurately predicting coverage probability and rate, validated against real LTE data, and revealing insights into network design impacts.
Contribution
It introduces a tractable, closed-form model for multi-tier heterogeneous networks with diverse base station characteristics, validated against real LTE data.
Findings
Coverage probability is accurately modeled with a simple closed-form expression.
Adding more tiers with the same SINR target does not affect coverage probability.
Model validation shows high accuracy within 1-2 dB of real LTE network measurements.
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…
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