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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

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