登录查看更多内容

How can cognitive radio networks cope with dynamic and heterogeneous wireless environments?

由人工智能和领英社区提供技术支持

Cognitive radio networks (CRNs) are wireless systems that can adapt to changing and diverse radio environments by sensing and utilizing the available spectrum resources. CRNs have the potential to improve the efficiency and performance of wireless communications, especially in scenarios where the spectrum demand is high and the spectrum availability is scarce. However, CRNs also face several challenges, such as spectrum sensing, spectrum access, spectrum sharing, and spectrum management. In this article, we will explore how CRNs can cope with dynamic and heterogeneous wireless environments by using some of the latest techniques and technologies.

此文章中的业界达人

由社区从 1 条内容中精选。了解更多

Albaraa Al-Thami, MSc

Retail Growth Strategy Visionary?? | Crafting Customer-Centric Growth | Franchise Expert & Frontline Regional Leader |…

1 Spectrum sensing

Spectrum sensing is the process of detecting the presence or absence of primary users (PUs) in a given frequency band. CRNs need to perform spectrum sensing to avoid interfering with PUs and to identify spectrum opportunities for secondary users (SUs). Spectrum sensing can be done in various ways, such as energy detection, feature detection, matched filtering, or cooperative sensing. However, spectrum sensing also faces some issues, such as noise uncertainty, shadowing, fading, and hidden terminal problem. To cope with these issues, CRNs need to use advanced signal processing and machine learning methods, such as compressive sensing, deep learning, and reinforcement learning.

添加您的观点

Albaraa Al-Thami, MSc

Retail Growth Strategy Visionary?? | Crafting Customer-Centric Growth | Franchise Expert & Frontline Regional Leader | Marketing Analytics Expert
举报内容
While CRNs hold promise for maximizing spectrum usage, efficient sensing remains a challenge. I can’t stress enough the need for context-aware sensing, integrating deep learning with real-time spectrum dynamics, to address hidden terminal issues and optimize resource allocation.

已翻译

赞

2 Spectrum access

Spectrum access is the process of selecting and using a suitable frequency band for SUs. CRNs need to perform spectrum access to optimize the spectrum utilization and the quality of service (QoS) for SUs. Spectrum access can be done in various ways, such as random access, contention-based access, auction-based access, or game-theoretic access. However, spectrum access also faces some issues, such as spectrum scarcity, spectrum heterogeneity, spectrum mobility, and spectrum competition. To cope with these issues, CRNs need to use adaptive and intelligent algorithms, such as multi-armed bandit, genetic algorithm, and swarm intelligence.

添加您的观点

3 Spectrum sharing

Spectrum sharing is the process of coordinating and allocating the spectrum resources among multiple SUs. CRNs need to perform spectrum sharing to maximize the spectrum efficiency and the social welfare for SUs. Spectrum sharing can be done in various ways, such as underlay, overlay, interweave, or hybrid. However, spectrum sharing also faces some issues, such as spectrum interference, spectrum fairness, spectrum security, and spectrum regulation. To cope with these issues, CRNs need to use novel and robust techniques, such as cognitive beamforming, cognitive relaying, cognitive jamming, and cognitive encryption.

添加您的观点

4 Spectrum management

Spectrum management is the process of monitoring and controlling the spectrum activities and policies in a CRN. CRNs need to perform spectrum management to ensure the spectrum compliance and the spectrum sustainability for SUs. Spectrum management can be done in various ways, such as centralized, distributed, or hierarchical. However, spectrum management also faces some issues, such as spectrum information, spectrum feedback, spectrum adaptation, and spectrum enforcement. To cope with these issues, CRNs need to use effective and reliable mechanisms, such as cognitive database, cognitive radio architecture, cognitive radio protocol, and cognitive radio standard.

添加您的观点

5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

添加您的观点

Wireless Communications Systems

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

How can cognitive radio networks cope with dynamic and heterogeneous wireless environments?

1

2

3

4

5

1 Spectrum sensing

2 Spectrum access

3 Spectrum sharing

4 Spectrum management

5 Here’s what else to consider

Wireless Communications Systems

给文章评分

感谢您的反馈

更多Wireless Communications Systems相关文章

更多相关阅读内容