Grant: Alliance Grants

New generation wireless communication networks are expected to support new capabilities such joint communication and sensing, as well as facilitating novel yet resource-intensive services. The integration of higher frequency bands, the imperative for efficient spectrum and energy use, and the demand for increased data capacity, user density and lower latency to support various services all compound the challenges associated with optimizing resource allocation in next generation networks. Quantum computers are gradually becoming more accessible as technology advances, and recent results in the field of optimization using quantum computers have shown promising advancements. The goal of the project is to design and develop a framework for the optimization of resource allocation in wireless communications networks by using quantum computing algorithms. The main outcome of this partnership is the pioneering materialization of a framework for the optimization of resource allocation in wireless networks. This framework has the potential to enable: 1) huge advances in execution time, and efficiency of the developed solutions; and 2) significant improvements in the capacity to solve resource optimization problems in future communication networks by addressing more extensive and intricate resource allocation challenges than conventional computing techniques can manage. The results will also have great value for the near-term practical application of quantum computing in many domains, extending the impacts and results of the project beyond the field of wireless networks resource allocation.