Contents Telektronikk - Telenor
Contents Telektronikk - Telenor
Contents Telektronikk - Telenor
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108<br />
overs for mobile stations that move along<br />
the border of two cells.<br />
3.4 Increasing the capacity<br />
In this section, system capacity means<br />
the amount of traffic that a system is<br />
capable of serving. Most systems of<br />
today are interference limited in the<br />
sense that the level of the interfering signals<br />
will decide the number of calls that<br />
can be connected. In order to increase the<br />
system capacity, the level of the interfering<br />
signals should be reduced. This can<br />
be done by a more directed delivery of<br />
the radio signal power from the transmitter<br />
(e.g. the base stations) to the receiver<br />
(e.g. the mobile station) while no radio<br />
signal is transmitted when it is not needed.<br />
One example is the utilisation of<br />
smaller cells for base stations and the use<br />
of sectorized cells. The result can be that<br />
a lower power is transmitted and a closer<br />
reuse of the frequency (measured in geographical<br />
distance) can be achieved. For<br />
areas with high traffic demand such solutions<br />
are relevant. Therefore, a tempting<br />
approach could be to reduce the coverage<br />
area for each base station in order to<br />
increase the reuse factor of the radio<br />
capacity as measured per geographical<br />
area, e.g. per square kilometre. However,<br />
this could become an expensive solution<br />
as the cost of the base station network in<br />
principle is related to the inverse of the<br />
square of the cell radius. In addition, it<br />
could be difficult to cover an area completely<br />
with such smaller cells.<br />
However, as areas with a lower traffic<br />
demand will remain, future wireless systems<br />
must allow for larger coverage<br />
areas as well. Another consideration is<br />
that mobile stations usually should be<br />
connected to a base station for a minimum<br />
time. As the coverage areas are<br />
decreased, mobile stations would move<br />
relatively faster (as seen from a base sta-<br />
large<br />
scale<br />
small<br />
scale<br />
medium<br />
scale<br />
Figure 6 Three scales could be studied when examining<br />
the radio signal propagation<br />
tion). This results in shorter handling<br />
times in each base station and increases<br />
of the signalling load for control of the<br />
connections for these mobile stations.<br />
One solution can be to introduce a mixture<br />
of coverage areas for the base stations,<br />
in a range from smaller to larger<br />
ones. The velocities of the mobile stations<br />
served will also influence the size<br />
of the coverage areas.<br />
In addition to the propagation/interference<br />
considerations, we should provide<br />
the capacity to the areas where it is most<br />
requested. If fixed capacity allocation to<br />
every base station is applied, the utilisation<br />
of smaller coverage areas could<br />
make the situation worse if the traffic<br />
demand is not according to what was<br />
assumed during the allocation process.<br />
Another aspect is the change of the traffic<br />
demand during the day and during the<br />
week. It is expected that this will have a<br />
higher variability for future systems as<br />
the number of users increases. For<br />
instance, a football match could gather<br />
several thousands of persons. Some<br />
events during the arrangement could trigger<br />
several of the spectators to make<br />
calls. During the rest of the week this<br />
football arena could be more or less<br />
empty with a very low traffic demand.<br />
In order to deal with such varying traffic<br />
demand a hybrid capacity allocation<br />
scheme could be applied. In this context,<br />
the term hybrid includes both the fixed<br />
allocation and the dynamic allocation as<br />
the two extremes. When a fully dynamic<br />
scheme is utilised no capacity is fixed to<br />
any of the base stations.<br />
For a future wireless system with various<br />
base stations (hierarchy), overlapping<br />
coverage areas and a number of operators,<br />
a fully dynamic scheme might be<br />
difficult to implement. Another fact is<br />
that were such a scheme applied, most of<br />
the capacity would be allocated to the<br />
base stations that were the first ones to be<br />
tried by the mobile stations. That is, the<br />
other base stations could suffer from this.<br />
Although a fully dynamic scheme could<br />
be possible in principle, some maximal<br />
limits for the capacity allocated to a base<br />
station will most likely be present in a<br />
real case. For instance, the number of<br />
transceiver units, capacity on the fixed<br />
line side of the base stations, etc.,<br />
would have to be decided for most cases.<br />
In view of the presence of different and<br />
overlapping coverage areas and differing<br />
mobile stations’ service usages, the situa-<br />
tion for a hybrid capacity allocation in a<br />
future wireless system is more complicated.<br />
In relation to the implementation of<br />
hybrid allocation schemes, there are several<br />
decisions that have to be made<br />
regarding the algorithms and the sets of<br />
criteria that can be used, see e.g. [7].<br />
4 Some performance topics<br />
From the outset we can examine several<br />
measures as the quality of a wireless system.<br />
We may also think of modifying the<br />
relevant system mechanisms in order to<br />
improve that specific performance measure.<br />
However, it is usually the overall<br />
system performance that is of most interest.<br />
In addition, we may see this overall<br />
performance from the users’ and from<br />
the operators’ points of view.<br />
4.1 Performance measures<br />
Three mutually independent and multiplicative<br />
radio signal propagation phenomena<br />
seem to be relevant, see Figure<br />
6:<br />
- large scale signal loss according to a<br />
relevant model, like free space, earth<br />
reflection, and diffraction<br />
- medium scale, e.g. because of shadowing,<br />
often modelled as log normal distributed<br />
loss<br />
- small scale for multipath fading due to<br />
scatters and reflections of the radio<br />
signal.<br />
The small scale is related to some fractions<br />
of wave lengths while the medium<br />
scale may concern some tens to hundreds<br />
of wave lengths. For a signal with a frequency<br />
of 1.8 GHz the wave length is<br />
approximately 17 cm.<br />
Propagation studies can be divided into<br />
the examination of two different characteristics:<br />
the multipath propagation characteristics<br />
and the path loss characteristics.<br />
The multipath characteristics will<br />
influence the maximum possible bit rates<br />
and state some requirements to the channel<br />
coding/equaliser.<br />
Several studies of radio propagation have<br />
been presented. Many of the results indicate<br />
that the propagation loss is not<br />
inversely proportional to some fixed<br />
power of the distance (slope). Often, the<br />
loss is inversely proportional to a slope<br />
that varies, depending on the distance<br />
from the transmitter. The main cause for<br />
this variation seems to be the multipath