Core Concepts
Optimizing user association in dense mmWave networks using Whittle index for improved performance metrics.
Abstract
The article addresses user association challenges in mmWave networks, focusing on load balancing and efficiency. It introduces a novel approach based on the Whittle index to optimize user association policies. The study proves the Whittle indexability of the problem and presents a detailed scheme for computing Whittle indices. Extensive simulations demonstrate the superiority of the proposed scheme over existing methods in terms of cost, delay, throughput, and fairness. The structural properties of the value function are analyzed to understand the threshold behavior of optimal policies.
Stats
Each arriving user brings a file containing a random number of packets.
Time slots divided into mini-slots with different serving rates at mBSs.
Proposed scheme outperforms prior work in various performance metrics.
Quotes
"The proposed Whittle index based scheme outperforms several user association schemes proposed in prior work."
"We prove that the problem is Whittle indexable."