18 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 54, NO. 1, JANUARY 2006
Bounds for Multihop Relayed Communications in Nakagami- Fading
George K. Karagiannidis, Senior Member, IEEE, Theodoros A. Tsiftsis, Member, IEEE, and
Ranjan K. Mallik, Senior Member, IEEE
Abstract—We present closed-form lower bounds for the perfor-
mance of multihop transmissions with nonregenerative relays over
not necessarily identically distributed Nakagami- fading chan-
nels. The end-to-end signal-to-noise ratio is formulated and upper
bounded by using an inequality between harmonic and geometric
means of positive random variables (RVs). Novel closed-form
expressions are derived for the moment generating function, the
probability density function, and the cumulative distribution func-
tion of the product of rational powers of statistically independent
Gamma RVs. These statistical results are then applied to studying
the outage probability and the average bit-error probability for
phase- and frequency-modulated signaling. Numerical examples
compare analytical and simulation results, verifying the tightness
of the proposed bounds.
Index Terms—Average bit-error probability (ABEP), Gamma
random variables (RVs), multihop relayed communications, Nak-
agami- fading, outage probability.
I. INTRODUCTION
M
ULTIHOP systems have a number of advantages over
traditional communication networks in the areas of
deployment, connectivity, and capacity, while minimizing
the need for fixed infrastructure. Relaying techniques enable
network connectivity where traditional architectures are im-
practical due to location constraints, and can be applied to
cellular, wireless local area networks (WLANs), and hybrid
networks. In multihop systems, the source terminal communi-
cates with the destination terminal through a number of relay
terminals. Therefore, multihop systems have the advantage
of broadening the coverage without using large transmitting
power [1]–[5]. Recently, the concept of cooperative diversity,
where the mobile users cooperate/collaborate with each other in
order to exploit the benefits of spatial diversity without the need
for using physical antenna arrays, has gained great interest.
In general, cooperative networks are multihop communication
networks, where the destination terminal combines the signals
received from both the source terminal and relays [6]–[9].
The performance analysis of multihop wireless commu-
nication systems operating in fading channels has been an
Paper approved by M.-S. Alouini, the Editor for Modulation and Diversity
Systems of the IEEE Communications Society. Manuscript received August 21,
2004; revised January 20, 2005; April 19, 2005; and June 24, 2005. This paper
was presented in part at the IEEE International Conference on Communications,
Seoul, Korea, May 2005.
G. K. Karagiannidis is with the Department of Electrical and Computer Engi-
neering, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece
(e-mail: geokarag@auth.gr).
T. A. Tsiftsis is with the Department of Electrical and Computer Engineering,
University of Patras, Rion, GR-26500 Patras, Greece (e-mail: tsiftsis@ee.upa-
tras.gr).
R. K. Mallik is with the Department of Electrical Engineering, Indian
Institute of Technology, Delhi, New Delhi 110016, India (e-mail: rk-
mallik@ee.iitd.ernet.in).
Digital Object Identifier 10.1109/TCOMM.2005.861679
important field of research in the past few years. Hasna and
Alouini have presented a useful and semianalytical framework
for the evaluation of the end-to-end outage probability of
multihop wireless systems with nonregenerative channel state
information (CSI)-assisted relays over Nakagami- fading
channels [3]. Moreover, the same authors have studied the
outage and the error performance of dual-hop systems with
regenerative and nonregenerative (CSI-assisted or fixed-gain)
relays over Rayleigh [1], [4] and Nakagami- [2] fading chan-
nels. Recently, Boyer et al. [5] have proposed and characterized
four channel models for multihop wireless communications,
and have also introduced the concept of multihop diversity.
Finally, Karagiannidis has studied the performance bounds
for multihop relayed transmissions with blind (fixed-gain)
relays over Nakagami- (Rice), Nakagami- (Hoyt), and
Nakagami- fading channels [10] using the moments-based
approach [11]. However, to the best of the authors’ knowledge,
the performance of multihop relayed systems has never been
addressed in terms of tabulated functions in Nakagami-
fading.
In this letter, using the well-known inequality between har-
monic and geometric means of positive random variables (RVs),
we present performance bounds for the end-to-end signal-to-
noise ratio (SNR) of multihop wireless communication systems
with CSI-assisted or fixed-gain relays operating in nonidentical
Nakagami- fading channels. Motivated by the fact that the
proposed bounds, in their general form, are products of rational
powers of statistically independent squared Nakagami- RVs
(or equivalently, Gamma RVs), we derive novel closed-form
expressions for their moment generating function (MGF), the
probability density function (PDF), and the cumulative distri-
bution function (CDF). These statistical results are then applied
to the study of important system performance metrics. Closed-
form lower bounds are derived for the outage probability, and
the average bit-error probability (ABEP) for binary phase-shift
keying (BPSK) and binary frequency-shift keying (BFSK) mod-
ulation schemes. Numerical and computer simulation examples
verify the accuracy of the presented mathematical analysis and
show the tightness of the proposed bounds.
The remainder of this letter is organized as follows. In Sec-
tion II, closed-form expressions for the MGF, PDF, and CDF
of the product of rational powers of Gamma RVs are presented.
Next, Section III introduces the multihop system and channel
model under consideration. In the same section, closed-form
upper bound expressions for the statistics of the end-to-end SNR
are proposed both for CSI-assisted and fixed-gain relayed sys-
tems. These results are applied in Section IV to evaluate the
end-to-end performance metrics of multihop wireless commu-
nication systems. Finally, some concluding remarks are given in
Section V.
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