Rate Maximization Through Structured Spectrum Allocation and User Association in Heterogeneous Cellular Networks


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 idea to derive the common downlink user data rate during a closed-kind expression. Then, the expression is used as the target perform in jointly optimizing spectrum allocation and user association, that is of a non-convex programming in nature. A computationally efficient structured spectrum allocation and user association (SSAUA) approach is proposed, solving the problem optimally and asymptotically optimally in two regions divided by a parameter specific threshold. A surcharge pricing theme (SPS) is additionally presented, such that the designed association bias values can be achieved in Nash equilibrium. Simulations and numerical studies are conducted to validate the accuracy and potency of the proposed SSAUA approach and SPS.

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