基于禁忌搜索的认知非正交MEC系统低成本卸载方法研究OA
Research on Low-cost Offloading Methods for CR-NOMA MEC System Based on Tabu Search
在融合认知无线电非正交多址接入(cognitive radio non-orthogonal multiple access,CR-NOMA)技术的移动边缘计算(mobile edge computing,MEC)系统中,针对电力信息与通信领域提高资源利用率的需求,文章考虑到异构终端的高效卸载以及边缘服务器的按需部署要求,以最小化从用户系统的时延和能耗开销为目标,在满足从用户计算任务分配率要求下,建立了多终端边缘关联和多服务器部署控制的联合优化问题.考虑到问题本身是NP-hard的,提出了一种基于禁忌搜索算法的综合调度策略.仿真结果表明,相较于贪心算法,提出的方法在保障低成本卸载的同时具有较快的收敛速度.
In the mobile edge computing system integrated with cognitive radio non-orthogonal multiple access technology,catering to the demand of improving resource utilization in the field of power information and communication,this paper considers the efficient offloading of heterogeneous terminals and the on-demand deployment requirements of edge servers.It establishes a joint optimization problem for multi-terminal edge association and multi-server deployment control,aiming to minimize the delay and energy consumption of the secondary user system,while satisfying the user's computation task allocation rate requirements.Considering that the problem itself is NP-hard,a comprehensive scheduling strategy based on the tabu search algorithm is proposed.Simulation results show that compared with the greedy algorithm,the method proposed in this paper has faster convergence speed while ensuring low-cost offloading.
陈爱月;王海涛;徐波
南京审计大学金审学院,江苏省 南京市 210023南京审计大学金审学院,江苏省 南京市 210023南京邮电大学,江苏省 南京市 210003
信息技术与安全科学
认知无线电非正交多址接入移动边缘计算边缘关联服务器部署禁忌搜索算法
CR-NOMAmobile edge computingedge associationserver deploymenttabu search algorithm
《电力信息与通信技术》 2026 (6)
78-83,6
国家自然科学基金面上项目(62071487).
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