IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 49, NO. 2, FEBRUARY 2001 303
Simple and Accurate Methods for Outage Analysis
in Cellular Mobile Radio Systems—A Unified
Approach
A. Annamalai, Member, IEEE, C. Tellambura, Member, IEEE, and Vijay K. Bhargava, Fellow, IEEE
Abstract—Two unified expressions for computing the refined
outage criterion (which considers the receiver noise) in cellular
mobile radio systems are derived using the Laplace and Fourier
inversion formulas. Since these expressions do not impose any re-
strictions on the signal statistics while being easy to program, they
provide a powerful tool for outage analysis over generalized fading
channels. We also assess compatibility and applicability of previ-
ously published approaches that treat noise as cochannel interfer-
ence (noise-limited model) or consider a minimum detectable re-
ceiver signal threshold and receiver noise. The outage probability
in an interference-limited case can be evaluated directly by setting
the minimum power threshold to zero. The analysis of correlated
interferers is presented. Results are also developed for a random
number of interferers. Several new closed-form expressions for the
outage probability are also derived. Some previous studies have
suggested approximating Rician desired signal statistics by a Nak-
agami- model (with positive integer fading severity index) to cir-
cumvent the difficulty in evaluating the outage in Rician fading.
The suitability of this approximation is examined by comparing
the outage performance under these two fading conditions. Sur-
prisingly, some basic results for Nakagami- channel have been
overlooked, which has led to misleadingly optimistic results with
the Nakagami- approximation model. However, similar approx-
imation for the interferer signals is valid.
Index Terms—Cochannel interference, fading channels, land
mobile cellular radio systems.
I. INTRODUCTION
I
N CELLULAR radio engineering, the system designers are
frequently required to evaluate the probability of outage,
which is a useful statistical measure of the radio link perfor-
mance in the presence of cochannel interference (CCI) [1]–[12].
Development of mathematical tools for outage analysis has re-
ceived a lot of attention during the past two decades—since the
deployment of the cellular architecture in the early 1980s for
Paper approved by K. B. Letaief, the Editor for Wireless Systems of the IEEE
Communications Society. Manuscript received February 2, 1999; revised April
28, 2000. This work was supported in part by a Strategic Project Grant from the
Natural Sciences and Engineering Research Council (NSERC) of Canada and
by Telus Mobility. This paper was presented in part at the IEEE International
Conference on Communications, Vancouver, BC, Canada, June 1999.
A. Annamalai is with the Bradley Department of Electrical and Computer
Engineering, Virginia Polytechnic Institute and State University, Alexandria,
VA 22314 USA (e-mail: annamalai@vt.edu).
C. Tellambura is with the School of Computer Science and Software
Engineering, Monash University, Clayton, Vic. 3168 Australia (e-mail:
chintha@dgs.monash.edu.au).
V. K. Bhargava is with the Department of Electrical and Computer Engi-
neering, University of Victoria, Victoria, BC V8W 3P6 Canada (e-mail: bhar-
gava@engr.uvic.ca).
Publisher Item Identifier S 0090-6778(01)01299-5.
commercial mobile radio systems. Several commonly used def-
initions of the outage exist. In its simplest version, the outage is
the probability that the ratio of the desired signal power to the
total interference power falls below a given threshold that de-
pends on the modulation type and other system design require-
ments. More refined definitions take into consideration additive
noise levels and minimum signal requirements.
Despite many years of research, closed-form expressions
for the probability of outage (even for the simplest defini-
tion) do not exist for some fading channel models because
of the lack of a simple expression for the probability den-
sity function (pdf) of a sum of interfering signals. For ex-
ample, the pdf of a sum of unequal Rician signal powers
is not available in closed form. Similarly, the pdf of a sum
of unequal Nakagami signal powers with noninteger fading
severity indices is not available in simple, closed form. As
a result, many previous studies make restrictive assumptions
and approximations (e.g., Nakagami fading index limited to
integer values, statistically equal interferers, a Rician vari-
able approximated by a Nakagami variable and so on). Al-
though the assumption that all the received signals (both de-
sired and undesired) have the same statistical characteristics
is quite reasonable for medium and large cell systems, its
validity for pico- and microcellular systems is questionable.
This is because an undesired signal from a distant cochannel
cell may well be modeled by Rayleigh statistics but Rayleigh
fading assumption may not hold for the desired signal since a
line-of-sight path is likely to exist in a microcell. Therefore,
it is evident that different statistics are needed to characterize
the desired user signal and the interfering signals in a micro-
or picocellular radio systems.
A simple yet general numerical technique for computing the
outage seem useful and attractive to address the problem on
hand. However, a general unified expression for computing the
outage (simple and refined criterion) where the system designer
can simply plug in the required fading channel models with ar-
bitrary parameters has not been developed previously. This is
the main contribution of this paper. Our numerical technique
is very easy to compute and handles arbitrary fading models,
as well as both simple and refined definitions of the outage are
considered. We also derive exact closed-form formulas for some
special cases. These formulas are reported because they are new
to the best of the authors’ knowledge.
The literature on outage analysis is extensive (see references
in [1]–[3]). Closed-form expressions for outage in Nakagami
fading is derived in [2] for integer fading parameters. Results
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