{'fraction_non_alphanumeric': 0.023148148148148147, 'fraction_numerical': 0.0, 'mean_word_length': 5.705426356589148, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Modeling and analysis for heterogeneous wireless networks by using of multi-dimensional Markov models

Nowadays, a lot of radio access technologies (RAT) have been deployed. In order to achieve a seamless integration between these different RATs, common radio resource management (CRRM) algorithms are considered to be deployed in such heterogeneous wireless networks. This paper provides a complete analytical approach to determine the performance of different RAT with selection procedures in multi-RAT/multi-service environment. Particularly, multi-dimensional Markovian model was used to perform a complete derivation for the system state probabilities. The allocation of voice and data services in both of GERAN/UTRAN systems, will be considered. In addition numerical results was illustrated for different operational scenarios for such heterogeneous system.