Optimal Joint User Association and Resource Allocation in Heterogeneous Networks via Sparsity Pursuit

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Provided by: Cornell University
Topic: Networking
Format: PDF
In this paper, the authors study the joint user association and resource allocation in Heterogeneous Networks (HetNets) from a novel perspective, motivated by and generating the idea of fractional frequency reuse. By treating the multi-cell multi-user resource allocation as resource partitioning among multiple reuse patterns, they propose a unified framework to analyze and compare a wide range of user association and resource allocation strategies for HetNets, and provide a benchmark of ultimate limit on network performance. The enabling mechanisms are a novel formulation to consider all possible patterns or any pre-defined subset of patterns and an efficient sparsity-pursuit algorithm.
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