2012/12/13 by Francesco Pantisano, Pantisano, Francesco, Mehdi Bennis +7
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Network Optimization #Computer Science and Game Theory (cs.GT) #Cooperative Communication and Network Coding #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1212.3170
openalex publication_date 2012/12/13 · openalex created_date 2025/10/24 · openalex updated_date 2026/07/28
The deployment of underlay small base stations (SBSs) is expected to\nsignificantly boost the spectrum efficiency and the coverage of next-generation\ncellular networks. However, the coexistence of SBSs underlaid to an existing\nmacro-cellular network faces important challenges, notably in terms of spectrum\nsharing and interference management. In this paper, we propose a novel\ngame-theoretic model that enables the SBSs to optimize their transmission rates\nby making decisions on the resource occupation jointly in the frequency and\nspatial domains. This procedure, known as interference draining, is performed\namong cooperative SBSs and allows to drastically reduce the interference\nexperienced by both macro- and small cell users. At the macrocell side, we\nconsider a modified water-filling policy for the power allocation that allows\neach macrocell user (MUE) to focus the transmissions on the degrees of freedom\nover which the MUE experiences the best channel and interference conditions.\nThis approach not only represents an effective way to decrease the received\ninterference at the MUEs but also grants the SBSs tier additional transmission\nopportunities and allows for a more agile interference management. Simulation\nresults show that the proposed approach yields significant gains at both\nmacrocell and small cell tiers, in terms of average achievable rate per user,\nreaching up to 37%, relative to the non-cooperative case, for a network with\n150 MUEs and 200 SBSs.\n