The Energy-Delay Pareto Front in Cache-enabled Integrated Access and Backhaul mmWave HetNets

TL;DR

This paper presents a multi-objective optimization framework for cache-enabled mmWave HetNets that balances energy consumption and delay, providing Pareto optimal solutions and revealing significant trade-offs through numerical analysis.

Contribution

It introduces a novel joint optimization approach for content caching and bandwidth partitioning in integrated access and backhaul mmWave networks, achieving Pareto efficiency.

Findings

Reduction of energy and delay by 30% to 55% compared to single-objective schemes

Demonstrates trade-offs between energy consumption and delay in network design

Provides Pareto front solutions for network optimization

Abstract

In this paper, to address backhaul capacity bottleneck and concurrently optimize energy consumption and delay, we formulate a novel weighted-sum multi-objective optimization problem where popular content caching placement and integrated access and backhaul (IAB) millimeter (mmWave) bandwidth partitioning are optimized jointly to provide Pareto efficient optimal non-dominating solutions. In such integrated networks analysis of what-if scenarios to understand trade-offs in decision space, without losing sight of optimality, is important. A wide set of numerical investigations reveal that compared with the nominal single objective optimization schemes such as optimizing only the delay or the energy consumption the proposed optimization framework allows for a reduction of the aggregation of energy consumption and delay by an average of 30% to 55%.