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Although fixed channel allocation schemes are common in most existing cellular radio systems, the cost of increasing their teletraffic capacity can become high. In theory, the use of dynamic channel allocation allows the employment of all carrier frequencies in every cell, thereby ensuring much higher capacity, provided the transceiver-specific interference constraints can be met. Therefore, it is feasible to design a mobile radio system, which configures itself to meet the required capacity demands as and when they arise. However, in practice there are many complications, which make this simplistic view hard to implement in practice. Dynamic channelallocation is used, for example, in the Digital European Cordless Telephone (DECT) standard[257,258,326-3281. Law and Lopes [329] used the DECT system to compare the performance of two distributed DCA algorithms. However, DECT is a low-capacity system, where time-slot utilisation is expected to be comparatively low. For the low slot utilisation DCA is ideally suited. Dynamic channel allocation becomes more difficult to use in large-cell systems, which have higher channel utilisation. Salgado-Galicia et al. [330] discussed practical problems that may beencountered in designing a DCA-based the mobile radio system. Even though much research has been carried out into channel allocation algorithms, particularly dynamic channel allocation, many unknowns remain. For example, the trade-offs and range of achievable capacity gains are not clearly understood. Furthermore, it is not known how to combine even two simple algorithmsin order to produce a hybrid has the that best features of both. One reason that the issues of dynamic channel allocation are not well understood is the computational complexity encountered in investigating such algorithms. In addition, the algorithms have to be compared to others in a variety of scenarios. Furthermore, changing one algorithmic parameter in order to improve the performance in one respect usually has some effect on another aspectof the algorithm s performance, due the paramto eters highly interrelated nature. This is particularly true, since experience showed that some handover algorithmsare better suited for employment in certain dynamic channelallocation algorithms [304]. Therefore various channel the allocation algorithms have to be compared in conjunction with a variety of handover algorithmsin order to ensure that the performance is not degraded significantly by a partially incompatible handover algorithm. The number large of parameters and the associated high computational complexity of implementing channel allocation algorithms complicate study the trade-offs of the various algorithms. of Again, in dynamic channelallocation, typically all channels canbe used at any base station as long as they satisfy the associated quality requirements. Channels are then allocated from this pool as and when they are required. This solution provides maximum flexibility and adaptability at the cost of higher system complexity. The various dynamic channel allocation algorithms have to balance allocating new channels to users against the potential co-channel interference they could inflict upon users already in the system. Dynamic channel allocation is better suited to microcellular systems [331] because can handle the more it nonuniform traffic distributions, the increased handoverrequests, and the more variable cochannel interference better than fixed channel allocation due to its higher flexibility. The physical implementation DCA is more complex than that ofFCA. However, withDCA the of complex andlabor-intensive task of frequency planningis no longerrequired. The majority of DCA algorithms choose the channel to be used based on received signal quality measurements. This informationis then used to decide which channel to allocate
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