The focus of REALISM is placed on the introduction of a novel distributed and scalable solution for efficient resource allocation in the emerging 5G and IoT competitive and distributed environments. We take a rather different approach from the overwhelming body of existing works in terms of the following two aspects: a) Instead of maximizing the Quality of Service (QoS) which is generally energy costly, we evangelize that better energy-efficiency is achieved by targeting satisfactory QoS levels only. This will be treated by a game theoretical solution concept referred to as satisfaction equilibrium; b) The theory used so far has not managed to properly address the fact that individuals in real life do not behave as neutral expected utility maximizers, but they tend to exhibit risk seeking or loss aversion behavior under uncertainty. To deal with this challenge, we will exploit Prospect Theory. We further complement the realism of our novel resource allocation paradigm in wireless networks, by integrating learning approaches in the considered games to reduce the impact of wireless environment dynamicity, as well as the lack of detailed knowledge or complete information about the actions of the rest of the users.
Funding Agency: Hellenic Foundation for Research and Innovation (H.F.R.I.)
Duration: 01/12/2019-31/12/2022
