TY - CHAP
T1 - The Energy-Delay Pareto Front in Cache-enabled Integrated Access and Backhaul mmWave HetNets
AU - Shang, Wen
AU - Friderikos, Vasilis
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In this paper, to address backhaul capacity bottle-neck 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%.
AB - In this paper, to address backhaul capacity bottle-neck 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%.
KW - Beyond 5G
KW - In-tegrated Access and Backhaul
KW - mmWave communications
KW - network optimization
KW - Pareto optimization
KW - wireless communications
UR - http://www.scopus.com/inward/record.url?scp=85134781084&partnerID=8YFLogxK
U2 - 10.1109/ICCWorkshops53468.2022.9814516
DO - 10.1109/ICCWorkshops53468.2022.9814516
M3 - Conference paper
AN - SCOPUS:85134781084
T3 - 2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022
SP - 758
EP - 763
BT - 2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022
Y2 - 16 May 2022 through 20 May 2022
ER -