作者: Victor Santos , Manuel Dinis , José Neves , None
DOI:
关键词: Channel pattern 、 Scheme (programming language) 、 Limit (mathematics) 、 Computer science 、 Channel allocation schemes 、 Similarity (geometry) 、 Simulated annealing 、 Communication channel 、 Distribution (mathematics) 、 Mathematical optimization
摘要: This paper presents a new dynamic channel allocation technique named Simplified Maximum Packing. The provides very good performance, near to the theoretical maximum limit appealing nominal and call reassignment concepts utilisation. Similarity with optimal Packing strategy in conjunction reduced complexity terms signalling has motivated its designation. evaluation of pattern that match better certain given asymmetric spatial traffic load distribution is also proposed by using two optimisation methods: Simulated Annealing Genetic Algorithms. increase mobile cellular system capacity performance due inclusion on creation assessed.