Abstract-Unlicensed spectrum can be utilized by long term evolution (LTE) cellular systems to satisfy high throughput requirements. In this letter, a regret-based learning aided downlink traffic balancing scheme for licensed and unlicensed bands is proposed while ensuring fair coexistence of LTE-unlicensed (LTE-U) and Wi-Fi devices in the same band. It is further improved with the optimization of energy efficiency (EE) for small cell (SC) and macrocell scenarios followed by an inter-SC interference management mechanism with better performance over the existing literature. Compared to the cases with fixed airtime, up to 8%-10% superior results are shown for the scenarios of EE and rate maximization, respectively.
For the downlink traffic balancing between licensed and unlicensed bands, REF proposed a regret-based learning aided downlink traffic balancing scheme to ensure fair coexistence between LTE-U and WiFi.
Learning-Based Small Cell Traffic Balancing Over Licensed and Unlicensed Bands
IEEE Wireless Communications Letters
IEEE Wireless Communications Letters
Computer Science Mathematics