Impact of the geometry, path-loss exponent and random shadowing on the mean interference factor in wireless cellular networks
- 1 October 2010
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
The interference factor, defined for a given location in the network as the ratio of the sum of the path-gains form interfering base-stations (BS) to the path-gain from the serving BS is an important ingredient in the analysis of wireless cellular networks. It depends on the geometric placement of the BS in the network and the propagation gains between these stations and the given location. In this paper we study the mean interference factor taking into account the impact of these two elements. Regarding the geometry, we consider both the perfect hexagonal grid of BS and completely random Poisson pattern of BS. Regarding the signal propagation model, we consider not only a deterministic, signal-power-loss function that depends only on the distance between a transmitter and a receiver, and is mainly characterized by the so called path-loss exponent, but also random shadowing that characterizes in a statistical manner the way various obstacles on a given path modify this deterministic function. We present a detailed analysis of the impact of the path loss exponent, variance of the shadowing and the size of the network on the mean interference factor in the case of hexagonal and Poisson network architectures. We observe, as commonly expected, that small and moderate shadowing has a negative impact on regular networks as it increases the mean interference factor. However, as pointed out in the seminal paper, this impact can be largely reduced if the serving BS is chosen as the one which offers the smallest path-loss. Revisiting the model studied in this latter paper, we obtain a perhaps more surprising result saying that in large irregular (Poisson) networks the shadowing does not impact at all the interference factor, whose mean can be evaluated explicitly in a simple expression depending only on the path-loss exponent. Moreover, in small and moderate size networks, a very strong variability of the shadowing can be even beneficial in both hexagonal and Poisson networks.Keywords
This publication has 13 references indexed in Scilit:
- Study of a key factor for performance evaluation of wireless cellular networks: The f-factorPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Impact of Topology and Shadowing on the Outage Probability of Cellular NetworksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Dimensioning of the downlink in OFDMA cellular networks via an Erlang's loss modelPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Evolution of Base Stations in Cellular Networks: Denser Deployment versus CoordinationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- Performance Evaluation of Scalable Congestion Control Schemes for Elastic Traffic in Cellular Networks with Power ControlPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2007
- Up- and Downlink Admission/Congestion Control and Maximal Load in Large Homogeneous CDMA NetworksMobile Networks and Applications, 2004
- Other-cell-interference factor distribution model in downlink WCDMA systemsPublished by Association for Computing Machinery (ACM) ,2004
- Downlink admission/congestion control and maximal load in CDMA networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Other-cell interference in cellular power-controlled CDMAIEEE Transactions on Communications, 1994
- Erlang capacity of a power controlled CDMA systemIEEE Journal on Selected Areas in Communications, 1993