Symbiotic communications: where Marconi meets Darwin
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 eco...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/162974 |
| _version_ | 1811694981342035968 |
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| author | Liang, Ying-Chang Long, Ruizhe Zhang, Qianqian Niyato, Dusit |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Liang, Ying-Chang Long, Ruizhe Zhang, Qianqian Niyato, Dusit |
| author_sort | Liang, Ying-Chang |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T07:16:12Z |
| format | Journal Article |
| id | ntu-10356/162974 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:16:12Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1629742022-11-14T05:05:11Z Symbiotic communications: where Marconi meets Darwin Liang, Ying-Chang Long, Ruizhe Zhang, Qianqian Niyato, Dusit School of Computer Science and Engineering Engineering::Computer science and engineering Symbiosis Electromagnetics 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. This work is supported by the National Natural Science Foundation of China under Grants 61631005 and U1801261; the National Key R & D Program of China under Grant 2018YFB1801105; the Key Areas of Research and Development Program of Guangdong Province, China under Grant 2018B010114001; the Macau Science and Technology Development Fund (FDCT), Macau SAR, under Grant 0009/2020/A1; the Fundamental Research Funds for the Central Universities under Grant ZYGX2019Z022; and the Programme of Introducing Talents of Discipline to Universities under Grant B20064. 2022-11-14T05:05:11Z 2022-11-14T05:05:11Z 2022 Journal Article Liang, Y., Long, R., Zhang, Q. & Niyato, D. (2022). Symbiotic communications: where Marconi meets Darwin. IEEE Wireless Communications, 29(1), 144-150. https://dx.doi.org/10.1109/MWC.101.2100132 1536-1284 https://hdl.handle.net/10356/162974 10.1109/MWC.101.2100132 2-s2.0-85128582628 1 29 144 150 en IEEE Wireless Communications © 2022 IEEE. All rights reserved. |
| spellingShingle | Engineering::Computer science and engineering Symbiosis Electromagnetics Liang, Ying-Chang Long, Ruizhe Zhang, Qianqian Niyato, Dusit Symbiotic communications: where Marconi meets Darwin |
| title | Symbiotic communications: where Marconi meets Darwin |
| title_full | Symbiotic communications: where Marconi meets Darwin |
| title_fullStr | Symbiotic communications: where Marconi meets Darwin |
| title_full_unstemmed | Symbiotic communications: where Marconi meets Darwin |
| title_short | Symbiotic communications: where Marconi meets Darwin |
| title_sort | symbiotic communications where marconi meets darwin |
| topic | Engineering::Computer science and engineering Symbiosis Electromagnetics |
| url | https://hdl.handle.net/10356/162974 |
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