ECE-NTUA Prof. Symeon Papavassiliou wins Best Paper Award at the WMNC 2019

Symeon Papavassiliou, ECE-NTUA Professor and Director of the NETMODE Laboratory, received the Best Paper Award at the 12th IFIP Wireless and Mobile Networking Conference, which took place on September 11-13, 2019, in Paris.

WMNC 2019 combines PWC (Personal Wireless Communications conference), MWCN (Mobile and Wireless Communication Networks conference), and WSAN (Wireless Sensors and Actor Networks conference) into one event. It is technically co-sponsored by IFIP and IEEE.

The winning paper, "Redesigning Resource Management in Wireless Networks based on Games in Satisfaction Form”, was co-authored by Panagiotis Promponas (National Technical University of Athens, Greece); Pavlos Athanasios Apostolopoulos (The University of New Mexico, USA); Eirini Eleni Tsiropoulou (University of New Mexico, USA); Symeon Papavassiliou (ICCS/School of Electrical and Computer Engineering, National Technical University of Athens, Greece).

Abstract: The rise in popularity of smartphones, along with the need for personalized services with different Quality of Service (QoS) requirements, has created an increased interest for energy-efficient resource management frameworks in wireless networks, where user actions and decisions are interdependent. Our focus is placed on the transformation and treatment of the uplink power control problem under the perspective of game theory in satisfaction form. The novel concept of Minimum Efficient Satisfaction Equilibrium (MESE) is introduced and its properties are investigated. Considering that each user is associated with a cost function with respect to its actions, the MESE point defines each user’s transmission power that satisfies its QoS prerequisites with the lowest cost. We prove that at the MESE point the system achieves the lowest possible cumulative cost, while each user individually is penalized with the minimum cost compared to the corresponding cost of any Efficient Satisfaction Equilibrium (ESE) point. The existence, uniqueness and benefits of the MESE are studied, and a distributed low complexity algorithm based on the Best Response Dynamics that converges to the MESE point is proposed. Through modeling and simulation, the performance of the proposed novel resource management framework is evaluated, and its benefits are revealed.