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%.
翻译:在本文中,为了解决回流能力瓶颈问题,同时优化能源消耗和延迟,我们提出了一个新的加权和多目标优化问题,即大众内容缓冲定位、综合接入和回流(IAB)毫米(mmWave)带宽分割能够联合优化,以提供Pareto高效的最佳非支配性解决方案。在这种综合网络分析中,了解在不忽略最佳性的情况下在决策空间中权衡取舍的情景非常重要。 大量数字调查显示,与名义性的单一目标优化计划相比,比如只优化延迟或能源消耗,拟议优化框架允许将能源消耗和延迟总量平均减少30%至55%。