Adaptive video transmission using QUBO method and Digital Annealer based on Ising machine
This work addresses the problem of improving video streaming quality for users by introducing a new optimization technique, though it appears incremental as it applies known methods to a specific domain.
The paper tackles adaptive bitrate control for video streaming by proposing a novel method using the QUBO method and Digital Annealer based on an Ising machine, and it shows that this approach outperforms existing state-of-the-art methods in simulations with real-world throughput data.
With the dramatically increasing video streaming in the total network traffic, it is critical to develop effective algorithms to promote the content delivery service of high quality. Adaptive bitrate (ABR) control is the most essential technique which determines the proper bitrate to be chosen based on network conditions, thus realize high-quality video streaming. In this paper, a novel ABR strategy is proposed based on Ising machine by using the quadratic unconstrained binary optimization (QUBO) method and Digital Annealer (DA) for the first time. The proposed method is evaluated by simulation with the real-world measured throughput, and compared with other state-of-the-art methods. Experiment results show that the proposed QUBO-based method can outperform the existing methods, which demonstrating the superior of the proposed QUBO-based method.