Outage Probability for Heterogeneous Cellular Networks with Biased Cell Association

Han‐Shin Jo, Young Jin Sang, Ping Xia, Jeffrey G. Andrews

2011 · 85 citations · 10 references

Concepts

TL;DR

The paper develops a tractable framework for SINR analysis in downlink heterogeneous cellular networks with flexible cell association. The authors model a multi‑tier HCN with randomly located base stations, each tier having distinct transmit power, path‑loss exponent, density, and bias, assume full queues, and derive the outage probability as a spatial average of SINR. The study finds that adding or removing base stations does not affect outage probability in interference‑limited HCNs with unbiased association, while biasing alters the outage metric.

Abstract

In this paper we develop a tractable framework for SINR analysis in downlink heterogeneous cellular networks (HCNs) with flexible cell association. The HCN is modeled as a multi-tier cellular network where each tier's base stations (BSs) are randomly located and have a unique transmit power, path loss exponent, spatial density, and bias towards admitting users. We implicitly assume every BS has full queues. From this model, we derive the outage probability of a typical user in the network, which can be viewed as a spatial average of SINR over all users in the network. We observe that deploying more or less BSs does not change the outage probability in interference-limited HCN with unbiased cell association, and observe how biasing affects the metric.

References

10