News Description

Speaker: Marco Di Renzo (CentraleSupelec and Paris-Saclay University, Paris, France)

Abstract: During the last decade, stochastic geometry has been widely employed for system-level analysis in cellular networks. The resulting analytical frameworks are, however, not always amenable for systemlevel optimization. This is due to three main reasons: (i) the performance metric of interest may not be formulated in closed-form; (ii) under some analytically tractable modeling assumptions, important system parameters may not explicitly appear in the analytical frameworks; and (iii) the optimization problem may not possess any structural properties, e.g., convexity, that facilitate the development of numerical algorithms for optimizing multiple (continuous- and discrete-valued) parameters at an affordable computational complexity and with performance-guarantee, e.g., the convergence to the global optimum is provable. In this talk, we elaborate on a new de?nition of coverage probability, we show that it is suitable to formulate mixed-integer non-linear system-level resource allocation problems in Poisson cellular networks, and we prove that the global optimum can be ef?ciently calculated by applying the generalized Benders decomposition. Numerical results are illustrated in order to compare the proposed approach against brute-force and a greedy-like optimization algorithm.
 
Bio: Marco Di Renzo is a CNRS Research Director and a faculty member of CentraleSupelec and Paris-Saclay University, Paris, France. Also, he is a Nokia Foundation Visiting Professor at Aalto University. He is a Highly Cited Researcher, an IEEE Fellow, and a Distinguished Lecturer of the IEEE Communications Society (COMSOC) and IEEE Vehicular Technology Society. Currently, he serves as the Editor-in-Chief of IEEE Communications Letters. He has received several awards, including the SEE-IEEE Alain Glavieux Award, the IEEE Jack Neubauer Memorial Best Systems Paper Award, the IEEE COMSOC Young Professional in Academia Award, the IEEE COMSOC Best Young Researcher Award, and the Best Paper Award at IEEE ICC 2019.