Ro. Lamaire et al., ON THE RANDOMIZATION OF TRANSMITTER POWER LEVELS TO INCREASE THROUGHPUT IN MULTIPLE-ACCESS RADIO SYSTEMS, WIRELESS NETWORKS, 4(3), 1998, pp. 263-277
Citations number
20
Categorie Soggetti
Telecommunications,"Engineering, Eletrical & Electronic","Computer Science Information Systems
To enhance the throughput of a slotted random access protocol in a rad
io communication system, we describe the use of a scheme in which mult
iple power levels are used at the transmitters. We first consider a si
tuation in which n transmitters are simultaneously trying to send a pa
cket to a central receiving station using a time-slotted access protoc
ol, like slotted ALOHA. Each of these transmitters randomly chooses on
e of m discrete power levels during each attempt to send a packet. One
of the simultaneously sent packets can often be successfully received
due to the power capture effect. We consider two types of capture mod
els: (1) one in which the transmitter with the largest received power
captures the channel, and (2) one in which the transmitter captures th
e channel only if its signal-to-interference ratio is above some thres
hold when received at the central station. In this paper, we determine
the optimal transmit probabilities for the power levels as well as th
e optimal values of the power levels themselves, when their range is c
onstrained and for cases both with and without Rayleigh fading. After
determining the precise optimal power levels and probabilities for max
imizing the capture probabilities (i.e., for a given n), we propose a
less complex, but nearly optimal, approximate approach based on using
logarithmically equi-spaced levels. After demonstrating the closeness
of our suboptimal results to the optimal results, we apply our approac
h to the problem of optimizing the throughput of the slotted ALOHA pro
tocol for a case in which the input traffic is generated according to
a Poisson process. Several numerical examples are presented along with
a demonstration of how the optimal choice of power levels and probabi
lities can enhance throughput relative to previous ad hoc methodologie
s.