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With the proliferation of wireless applications, the electromagnetic (EM)space is becoming more and more crowded and complex. This makes it achallenging task to accommodate the growing number of radio systems withlimited radio resources. In this paper, by considering the EM space as a radioecosystem, and leveraging the analogy to the natural ecosystem in biology, anovel symbiotic communication (SC) paradigm is proposed through which therelevant radio systems, called symbiotic radios (SRs), in a radio ecosystemform a symbiotic relationship (e.g., mutualistic symbiosis) through intelligentresource/service exchange. Radio resources include, e.g., spectrum, energy, andinfrastructure, while typical radio services are communicating, relaying, andcomputing. The symbiotic relationship can be realized via either symbioticcoevolution or symbiotic synthesis. In symbiotic coevolution, each SR isempowered with an evolutionary cycle alongside the multi-agent learning, whilein symbiotic synthesis, the SRs ingeniously optimize their operating parametersand transmission protocols by solving a multi-objective optimization problem.Promisingly, the proposed SC paradigm breaks the boundary of radio systems,thus providing us a fresh perspective on radio resource management and newguidelines to design future wireless communication systems.

Symbiotic Communications: Where Marconi Meets Darwin