论文标题
具有缓存的集成访问和回程MMWAVE HETNETS中的Energy-delay Pareto前沿
The Energy-Delay Pareto Front in Cache-enabled Integrated Access and Backhaul mmWave HetNets
论文作者
论文摘要
在本文中，为了解决回程容量的瓶颈并同时优化能耗和延迟，我们制定了一种新型的加权和Muti-Oxtive优化问题，其中流行的内容缓存和集成访问以及Backhaul（IAB）毫米（MMWAVE）的综合访问（MMWAVE）的带宽分区可以优化，以便提供帕尔特（Pareto）的有效效率最佳溶液。在这样的综合网络分析中，如果情况下，以了解决策空间中的权衡方面的情况，而又不会失去最优性，这一点很重要。一系列的数值研究表明，与名义单一目标优化方案相比，例如仅优化延迟或能源消耗，提出的优化框架可以减少能源消耗的聚合和延迟平均30％至55％。
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%.
