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In this paper we examine the use of matching theory for user association inmillimeter wave (mmWave)-enabled cellular heterogeneous networks (HetNets). Ina mmWave system, the channel variations can be fast and unpredictable,rendering centralized user association potentially inefficient. We propose anefficient distributed matching algorithm, called early acceptance (EA),tailored for user association in 5G HetNets. The effectiveness of the proposedalgorithm is assessed by comparing its performance with the well-known deferredacceptance (DA) matching algorithm, in which user association is delayed untilthe algorithm finishes. Numerical results show that the proposed EA matchingalgorithm reaches a near-optimal solution when compared with a centralized userassociation, and leads to a more power-efficient and much faster userassociation process when compared to the distributed DA algorithm.

Early Acceptance Matching Game for User Association in 5G Cellular HetNet