沙普利值作为 IBOC 调频数字无线电传输的资源优化策略

Q1 Mathematics
Mónica Rico Martínez, Juan Carlos Vesga Ferreira, Joel Carroll Vargas, María Consuelo Rodríguez, Andres Alejandro Diaz Toro, William Alexander Cuevas Carrero
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引用次数: 0

摘要

混合带内信道(IBOC)传输系统是一种数字音频广播方案,可同时传输模拟调频和数字音频。在 IBOC 系统中,广播公司在分配的信道带内传输信号,这给数字音频传输的带宽分配带来了挑战。为解决这一问题,提出了以破产博弈和沙普利值为支撑的合作博弈理论,作为优化各节点或站点带宽分配的策略。这种方法考虑了服务需求、站点数量和调频频段的无线电信道条件。本文介绍了饱和流量条件下的一个场景,以评估在明确定义的流量和信道条件下使用夏普利值可实现的优化程度。结果表明,在 Shapley 值的支持下,合作博弈论为优化调频 IBOC 数字广播的带宽提供了一个极佳的选择,并有可能应用于其他数字无线电广播系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shapley’s Value as a Resource Optimization Strategy for Digital Radio Transmission over IBOC FM
The hybrid in-band on-channel (IBOC) transmission system, which serves as a digital audio radio scheme, facilitates the simultaneous transmission of analog FM and digital audio. In IBOC systems, broadcasters transmit signals within allocated channel bands, posing a challenge in bandwidth allocation for digital audio transmission. To address this, cooperative game theory, supported by the bankruptcy game and Shapley’s value, is proposed as a strategy to optimize bandwidth allocation at each node or station. This approach considers service demand, the number of stations, and radio channel conditions in the FM band. The paper presents a scenario under saturated traffic conditions to evaluate the degree of optimization achievable using the Shapley value under clearly defined traffic and channel conditions. The results indicate that cooperative game theory, with the support of the Shapley value, offers an excellent alternative for optimizing bandwidth in digital broadcasting over IBOC in FM, with potential applicability in other digital radio broadcasting systems.
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来源期刊
Applied Sciences
Applied Sciences Mathematics-Applied Mathematics
CiteScore
6.40
自引率
0.00%
发文量
0
审稿时长
11 weeks
期刊介绍: APPS is an international journal. APPS covers a wide spectrum of pure and applied mathematics in science and technology, promoting especially papers presented at Carpato-Balkan meetings. The Editorial Board of APPS takes a very active role in selecting and refereeing papers, ensuring the best quality of contemporary mathematics and its applications. APPS is abstracted in Zentralblatt für Mathematik. The APPS journal uses Double blind peer review.
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