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Rate Maximization Through Structured Spectrum Allocation and User Association in Heterogeneous Cellular Networks
2015
IEEE Transactions on Communications
We study joint spectrum allocation and user association in heterogeneous cellular networks with multiple tiers of base stations. A stochastic geometric approach is applied as the basis to derive the average downlink user data rate in a closed-form expression. Then, the expression is employed as the objective function in jointly optimizing spectrum allocation and user association, which is of non-convex programming in nature. A computationally efficient Structured Spectrum Allocation and User
doi:10.1109/tcomm.2015.2469690
fatcat:iajp55stivdfjddwu676to7u6a