作者: Menglan Jiang
关键词:
摘要: User equipments (UEs) such as smartphones and tablets are widely used in heterogeneous wireless networks which include different technologies like WiFi Long Term Evolution (LTE) systems. Implementing traffic steering effectively for user to maximize their quality of service has become a key challenge these years. Therefore, this paper, we propose device controlled mechanism. We mainly focus on history records each available distributively consider multi-criteria Received Signal Strength (RSS) energy consumption battery our performance matrics from UE side. Device mechanism is fully distributed approach that runs at equipments. At the same time, benefit network knowledge, use analytic further enhance certain metrics. Our proposed can help make efficient decisions minimize power consumption. This particularly important distribute load across radio access with less The accesses paper modelled based Reinforcement Learning (RL) considers past experiences equipements them improve satisfactions. Through extensive simulation scenarios, demonstrate how metrics received throughput values reduce equipments' batteries.