Optimizing User Association and Spectrum Allocation in HetNets: A Utility Perspective
Yicheng Lin, Wei Bao, Wei Yu, Ben Liang

TL;DR
This paper analyzes and optimizes user association and spectrum allocation in multi-tier HetNets using stochastic geometry, deriving analytical solutions for utility maximization in both uplink and downlink scenarios.
Contribution
It provides the first analytical framework for jointly optimizing user association biases and spectrum partition ratios in HetNets based on utility maximization.
Findings
Optimal user association biases are derived analytically.
Spectrum partitioning favors downlink utility, while spectrum sharing benefits uplink with power control.
Uplink and downlink associations need not be symmetric.
Abstract
The joint user association and spectrum allocation problem is studied for multi-tier heterogeneous networks (HetNets) in both downlink and uplink in the interference-limited regime. Users are associated with base-stations (BSs) based on the biased downlink received power. Spectrum is either shared or orthogonally partitioned among the tiers. This paper models the placement of BSs in different tiers as spatial point processes and adopts stochastic geometry to derive the theoretical mean proportionally fair utility of the network based on the coverage rate. By formulating and solving the network utility maximization problem, the optimal user association bias factors and spectrum partition ratios are analytically obtained for the multi-tier network. The resulting analysis reveals that the downlink and uplink user associations do not have to be symmetric. For uplink under spectrum sharing,…
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