With the proliferation of wireless applications, the electromagnetic (EM) space is becoming more and more crowded and complex. This makes it a challenging task to accommodate the growing number of radio systems with limited radio resources. In this article, by considering the EM space as a radio ecosystem, and leveraging the analogy to the natural ecosystem in biology, a novel symbiotic communication (SC) paradigm is proposed through which the relevant radio systems, called symbiotic radios (SRs), in a radio ecosystem form a symbiotic relationship (e.g., mutualistic symbiosis) through intelligent resource/service exchange. Radio resources include, for example, spectrum, energy, and infrastructure, while typical radio services are communicating, relaying, and computing. The symbiotic relationship can be realized via either symbiotic coevolution or symbiotic synthesis. In symbiotic coevolution, each SR is empowered with an evolutionary cycle alongside the multi-agent learning, while in symbiotic synthesis, the SRs ingeniously optimize their operating parameters and transmission protocols by solving a multi-objective optimization problem. Promisingly, the proposed SC paradigm breaks the boundary of radio systems, thus providing us with a fresh perspective on radio resource management and new guidelines to design future wireless communication systems.

中文翻译：

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共生通信：马可尼与达尔文相遇的地方


随着无线应用的激增，电磁 (EM) 空间变得越来越拥挤和复杂。这使得用有限的无线电资源来适应越来越多的无线电系统成为一项具有挑战性的任务。在本文中，通过将电磁空间视为无线电生态系统，并利用生物学中自然生态系统的类比，提出了一种新颖的共生通信（SC）范式，通过该范式，相关的无线电系统（称为共生无线电（SR））在无线电生态系统通过智能资源/服务交换形成共生关系（例如，互利共生）。无线电资源包括频谱、能源和基础设施等，而典型的无线电服务是通信、中继和计算。共生关系可以通过共生共同进化或共生合成来实现。在共生协同进化中，每个SR在多智能体学习的同时都被赋予了进化周期，而在共生合成中，SR通过解决多目标优化问题巧妙地优化其操作参数和传输协议。令人鼓舞的是，所提出的 SC 范式打破了无线电系统的边界，从而为我们提供了无线电资源管理的新视角和设计未来无线通信系统的新指南。