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.
The spatial correlations in transmitter node locations introduced by common
multiple access protocols makes the analysis of interference, outage, and other
related metrics in a wireless network extremely difficult.
Outage probabilities in wireless networks depend on various factors: the node
distribution, the MAC scheme, and the models for path loss, fading and
transmission success. In prior work on outage characterization for networks
with randomly placed nodes, most of the emphasis was put on networks whose
nodes are Poisson distributed and where ALOHA is used as the MAC protocol. In
this paper we provide a general framework for the analysis of outage
probabilities in the high-reliability regime.
We consider a two-hop cellular system in which the mobile nodes help the base
station by relaying information to the dead spots. While two-hop cellular
schemes have been analyzed previously, the distribution of the node locations
has not been explicitly taken into account. In this paper, we model the node
locations of the base stations and the mobile stations as a point process on
the plane and then analyze the performance of two different two-hop schemes in
the downlink.