Towards coordinating self-healing instances: Policy-based and non-cooperative game theory-based approaches with location awareness

IF 4.4 2区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Computer Networks Pub Date : 2024-09-23 DOI:10.1016/j.comnet.2024.110827
Adnan Bayazeed, Khaldoun Khorzom, Mohamad Aljnidi
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Abstract

Self-healing is an essential functionality in Self-Organizing cellular Network (SON). It aims to ensure service continuity by detecting, diagnosing, and compensating network outage after triggering appropriate Cell Outage Compensation (COC) functions according to the outage case. The role of self-healing is increasingly become indispensable, especially in high density network as in 5 G and beyond, in order to maintain the availability and retainability of mobile service and save revenues. However, the essence of COC entails modifications of different Network Control Parameters (NCP) which are under control of SON Functions (SONF) that are related to other self-x functionalities. In addition, it can request different types of compensation functions according to the outage case. Moreover, it requires to harmonize the objectives of the requested stand-alone SONFs over the involved Candidate Cells (CC) in order to re-build a consistent coverage model. Thus, the need for self-coordination is mandatory to guarantee conflict-free outage compensation procedure. In this paper, we propose a novel integrated coordination scheme in order to coordinate Antenna Tilt (AT)-based and Transmission Power (TXP)-based COC functions. Beside their primary targets of conflict avoidance and resolution, we prove that our location-aware coordination mechanisms, which are based on policies and Non-Cooperative Zero-Sum Game (NCZSG) theory, can collaboratively guide greedy stand-alone single-objective COC functions to reach a stable coverage model. The coordination is done even when there is no prior knowledge of the environment or the compensatory algorithms themselves. The choice of optimal Network Control Parameters Values (NCV) is determined according to the function after the coordinator's verification.
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实现协调自愈实例:基于位置感知的政策博弈论和非合作博弈论方法
自愈是自组织蜂窝网络(SON)的一项基本功能。其目的是通过检测、诊断和补偿网络中断,并根据中断情况触发适当的小区中断补偿(COC)功能,从而确保服务的连续性。自愈的作用越来越不可或缺,尤其是在 5 G 及以后的高密度网络中,以保持移动服务的可用性和可保留性,并节省收入。然而,COC 的本质是修改不同的网络控制参数(NCP),这些参数由 SON 功能(SONF)控制,而 SONF 又与其他自 X 功能相关。此外,它还可以根据停电情况要求不同类型的补偿功能。此外,它还需要协调所请求的独立 SONF 在相关候选小区(CC)上的目标,以重新构建一致的覆盖模型。因此,为了保证无冲突停电补偿程序,必须进行自我协调。本文提出了一种新颖的综合协调方案,以协调基于天线倾斜度(AT)的 COC 功能和基于传输功率(TXP)的 COC 功能。除了以避免和解决冲突为主要目标外,我们还证明了基于策略和非合作零和博弈(NCZSG)理论的位置感知协调机制可以协同指导贪婪的独立单目标 COC 函数,以达到稳定的覆盖模型。即使事先不了解环境或补偿算法本身,也能进行协调。最佳网络控制参数值(NCV)的选择是根据协调器验证后的函数确定的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computer Networks
Computer Networks 工程技术-电信学
CiteScore
10.80
自引率
3.60%
发文量
434
审稿时长
8.6 months
期刊介绍: Computer Networks is an international, archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in the computer communications networking area. The audience includes researchers, managers and operators of networks as well as designers and implementors. The Editorial Board will consider any material for publication that is of interest to those groups.
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