dynamic spectrum sharing for load balancing in multi cell mobile edge computing

• DOI: 10.48550/arxiv.1910.04841
• Publication Date: 2020-02-01
• Authors: Ming Zeng; Viktoria Fodor
• Keywords: Signal Processing (eess.SP); FOS: Computer and information sciences; Computer Science - Information Theory; Wireless communication; resource allocation; 02 engineering and technology; 12. Responsible consumption; multi-cell; Bandwidth; 0203 mechanical engineering; 0202 electrical engineering, electronic engineering, information engineering; FOS: Electrical engineering, electronic engineering, information engineering; Heuristic algorithms; Delays; Electrical Engineering and Systems Science - Signal Processing; Resource management; Information Theory (cs.IT); MEC; Communication Systems; Energy consumption; Task analysis; Kommunikationssystem

Large-scale mobile edge computing (MEC) systems require scalable solutions to allocate communication and computing resources to the users. In this letter we address this challenge by applying dynamic spectrum sharing among the base stations (BSs), together with local resource allocation in the cells. We show that the network-wide resource allocation can be transformed into a convex optimization problem, and propose a distributed, hierarchical solution with limited information exchange among the BSs. Numerical results demonstrate that the proposed solution is superior to other baseline algorithms, when wireless and computing resource allocation is not jointly optimized, or the wireless resources allocated to the BSs are fixed.<br/>IEEE WCL<br/>