Multi-Objective Energy-Efficient Resource Allocation for Multi-RAT Heterogeneous Networks

摘要: Heterogeneous network (HetNet) integrated with multiple radio access technologies (RATs) is a promising technique for satisfying the exponentially increasing traffic demand of future cellular systems. In this paper, we investigate energy-efficient resource allocation in multi-RAT HetNet, aimed at maximizing energy efficiency (EE) each individual user while guaranteeing quality-of-service (QoS) requirement. Since EE cannot be simultaneously maximized every user, multiple-objective optimization problem (MOOP) formulated. To find its Pareto optimal solution, first introduce concept Utopia EE, defined as maximum achievable user. Then, using weighted Tchebycheff method, single-objective (SOOP) formulated, which can achieve solution original MOOP. The SOOP generalized fractional programming that aims to minimize several quasiconvex functions. We further transform into an equivalent but better tractable one, and develop iterative algorithm effectively solve it. Numerical results demonstrate proposed yields fast convergence, high system flexible tradeoff.