6533b855fe1ef96bd12b09bd

RESEARCH PRODUCT

Resource Allocation and Computation Offloading for Multi-Access Edge Computing With Fronthaul and Backhaul Constraints

Timo HämäläinenXijuan GuoJun ChenZhu HanRenchuan LiZheng Chang

subject

energiankulutus (energiateknologia)Computer Networks and CommunicationsComputer scienceDistributed computingresource allocationAerospace Engineeringlangaton tekniikkaresursointifronthaul/backhaul linkmulti-access edge computingoptimointioffloadingWirelessComputation offloadingResource managementElectrical and Electronic EngineeringEdge computingWireless networkbusiness.industryRemote radio headBackhaul (telecommunications)reunalaskentaAutomotive EngineeringResource allocationbusinesslangattomat verkot

description

Edge computing is able to provide proximity solutions for the future wireless network to accommodate different types of devices with various computing service demands. Meanwhile, in order to provide ubiquitous connectivities to massive devices over a relatively large area, densely deploying remote radio head (RRH) is considered as a cost-efficient solution. In this work, we consider a vertical and heterogeneous multi-access edge computing system. In the system, the RRHs are deployed for providing wireless access for the users and the edge node with computing capability can process the computation requests from the users. With the objective to minimize the total energy consumption for processing the computation task, a joint radio resource allocation and offloading decision optimization problem is presented under the explicit consideration of capacity constraints of fronthaul and backhaul links. Due to the non-convexity of the formulated problem, we divide the original problem into several sub-problems and address them accordingly to find the optimal solution. Extensive simulation studies are conducted and illustrated to evaluate the advantages of the proposed scheme. peerReviewed

https://doi.org/10.1109/tvt.2021.3090246