{'fraction_non_alphanumeric': 0.02613240418118467, 'fraction_numerical': 0.0, 'mean_word_length': 5.626923076923077, '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}}
Design and Experimental Validation of Radio Access Network Controller Prototype for Multi-RAT Technologies with Scheduler Strategies

Future wireless networks will be more heterogeneous due to different radio access technologies (RATS), types of interconnecting links between the users, and diverse requirements of the connected users. The multiple RAT (multi-RAT) network composed of cellular and Wi-Fi access points is considered as a promising solution to meet indoor traffic needs during pandemic situations. Therefore, in this paper we design and provide an experimental validation of a radio access network controller (RANO) prototype solution and investigate different long term evolution medium access control (UTE MAC) scheduling strategies to show the quality-of-service (QoS) and quality-of- experience (QoE) performance of multi-RAT. The main aspects of this paper are to show the involvement towards coordination strategies amongst multiple RATs and integration of parametric control of higher MAC and upper layer network protocols. Moreover, we also evaluate and examine the possibility to take advantage of the fact of using interworking concepts such as lightweight Internet protocol (LWIP) and LTE-WLAN aggregation (LWA) while making the scheduling decisions. Such a solution would contribute to the software-defined networking (SDN) approach, where multi-RAT aware scheduler adapts to dynamic channel conditions to provide robustness against severe real-time channel conditions. Finally, we provide comparative analysis of multi- RAT scenarios and evaluate the QoE performance of different scheduling algorithms with SINR based information centric LWA switching and QoE-aware LWA switching by using RANO.