Fuzzy Logic Resource Allocator for Wireless Video Transmission in LTE System

In wireless video transmission, encoded video frames are often transmitted with certain delay and reliability constrain. Due to the limited wireless bandwidth, time-variant channel conditions and the fluctuant video frame rate, it is difficult to allocate transmission resources to guarantee online video quality. In this paper, we propose a fuzzy logic resource allocator (FLRA), aiming at enhancing the user experience of different online video streams and increasing the system load. By jointly utilize the information of remainder play time of user equipments (UEs) and the varying channel conditions of different UEs, FLRA employed in the base station calculates the priority list and makes allocation in real time. The proposed FLRA is implemented in a Long Term Evolution (LTE) simulation system, in which three kinds of video streams are supported. Numerical results verify that the proposed method outperforms the conventional methods significantly, especially in high signal-to- noise ratio condition.