Intelligent Cloud-Edge Collaboration for Mixed Continuous-Discrete Resource Allocation in Heterogeneous Networks

IF 10.7 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Wireless Communications Pub Date : 2024-10-25 DOI:10.1109/TWC.2024.3483291
Lin Zhang;Fucheng Zhai;Chang Liu;Ming Xiao
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Abstract

Joint channel selection and power control (JCSPC) is important to manage the interference in a heterogeneous network (HetNet), which consists of multiple base station (BS) and user equipment (UE) pairs. The JCSPC problem involves in a mixed continuous-discrete resource allocation and is typically NP-hard. Conventional methods usually obtain a quasi-optimal solution of the JCSPC problem in a centralized manner by assuming that the instantaneous global channel state information (CSI) is available. However, it is demanding to collect the instantaneous global CSI in practical scenarios. In this paper, we develop an intelligent cloud-edge collaboration assisted JCSPC algorithm. With the new algorithm, each BS can independently optimize its JCSPC policy with only local information, meanwhile enhance the sum-rate of the whole HetNet. Simulation results show that the proposed algorithm can achieve comparable and even better average sum-rate performance to the quasi-optimal method with a much lower time complexity.
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异构网络中连续-离散混合资源分配的智能云边协作
联合信道选择和功率控制(JCSPC)对于管理由多个基站(BS)和用户设备(UE)对组成的异构网络(HetNet)中的干扰具有重要意义。JCSPC问题涉及一个混合的连续-离散资源分配,通常是np困难的。传统的方法通常在假定全局瞬时信道状态信息(CSI)可用的情况下,以集中的方式求得JCSPC问题的准最优解。然而,在实际场景中,对瞬时全局CSI的采集是有要求的。在本文中,我们开发了一种智能云边缘协作辅助JCSPC算法。利用新算法,每个BS可以仅利用局部信息独立地优化其JCSPC策略,同时提高整个HetNet的求和率。仿真结果表明,该算法可以获得与拟最优方法相当甚至更好的平均和率性能,且时间复杂度大大降低。
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来源期刊
CiteScore
18.60
自引率
10.60%
发文量
708
审稿时长
5.6 months
期刊介绍: The IEEE Transactions on Wireless Communications is a prestigious publication that showcases cutting-edge advancements in wireless communications. It welcomes both theoretical and practical contributions in various areas. The scope of the Transactions encompasses a wide range of topics, including modulation and coding, detection and estimation, propagation and channel characterization, and diversity techniques. The journal also emphasizes the physical and link layer communication aspects of network architectures and protocols. The journal is open to papers on specific topics or non-traditional topics related to specific application areas. This includes simulation tools and methodologies, orthogonal frequency division multiplexing, MIMO systems, and wireless over optical technologies. Overall, the IEEE Transactions on Wireless Communications serves as a platform for high-quality manuscripts that push the boundaries of wireless communications and contribute to advancements in the field.
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