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With the dramatically increasing video streaming in the total networktraffic, it is critical to develop effective algorithms to promote the contentdelivery service of high quality. Adaptive bitrate (ABR) control is the mostessential technique which determines the proper bitrate to be chosen based onnetwork conditions, thus realize high-quality video streaming. In this paper, anovel ABR strategy is proposed based on Ising machine by using the quadraticunconstrained binary optimization (QUBO) method and Digital Annealer (DA) forthe first time. The proposed method is evaluated by simulation with thereal-world measured throughput, and compared with other state-of-the-artmethods. Experiment results show that the proposed QUBO-based method canoutperform the existing methods, which demonstrating the superior of theproposed QUBO-based method.

Adaptive video transmission using QUBO method and Digital Annealer based on Ising machine