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Energy efficient transmission trends towards future green cognitive radio networks (5G): Progress, taxonomy and open challenges
Journal of Network and Computer Applications ( IF 7.7 ) Pub Date : 2020-07-20 , DOI: 10.1016/j.jnca.2020.102760
Akanksha Srivastava , Mani Shekhar Gupta , Gurjit Kaur

With the growing cognizance about environmental concern and global warming-related to communication technologies, the researchers have been seeking some solutions to diminish the consumption of energy in the telecommunication industry. There is a remarkable advancement in mobile communication from simple voice-based devices to ubiquitous data-hungry smartphones. Nearly, 8 billion mobile subscribers are expected to be added by 2030 and also required an extra spectrum to serve. The existing static spectrum allocation-based technologies are not in a position to fulfill this extra spectrum requirement and handle this future traffic load. This volatile evolution of global traffic data urges research attention globally and can be handled by future cognitive radio networks. There is also a demand for providing fast speed and seamless services for which operators need to deploy more base stations continuously and increase the transmitting antenna power. As a result, a drastic hike in emissions of carbon dioxide into the environment, and exposure to harmful radiations in large amounts which is also authentically harmful to humans, animals, and birds. This increased energy consumption and scarcity of resources have made the energy as a geopolitical issue for 21 century. In this direction, this work contributes by introducing cognitive-based green communication technology to ensure the environmental and health concerns caused due to hike in the CO2 level. In the second phase, an enlightening survey on futuristic approaches for making the future wireless networks green is covered with pros and cons. In the third phase, this paper provides a framework of research challenges with ongoing project activities on green communication which further requires attention from the research community.



中文翻译:

面向未来绿色认知无线电网络(5G)的高能效传输趋势:进展,分类和开放挑战

随着人们越来越关注与通信技术相关的环境问题和全球变暖,研究人员一直在寻求一些解决方案,以减少电信行业的能源消耗。从简单的基于语音的设备到无处不在的数据密集型智能手机,移动通信领域取得了显着进步。到2030年,预计将增加80亿移动用户,并且还需要额外的频谱来服务。现有的基于静态频谱分配的技术无法满足这种额外的频谱需求并无法应对这种未来的流量负荷。全球交通数据的这种不断变化的发展引起了全球研究的关注,并且可以由未来的认知无线电网络来处理。还需要提供快速和无缝的服务,为此运营商需要连续部署更多的基站并增加发射天线的功率。结果,二氧化碳向环境中的排放急剧增加,并且暴露于大量有害辐射中,这也确实对人类,动物和鸟类有害。能源消耗的增加和资源的稀缺使能源成为21世纪的地缘政治问题。在此方向上,这项工作通过引入基于认知的绿色通信技术做出了贡献,以确保由于CO升高引起的环境和健康问题 二氧化碳向环境中的排放急剧增加,并暴露于大量有害辐射中,这实际上对人类,动物和鸟类也有害。能源消耗的增加和资源的稀缺使能源成为21世纪的地缘政治问题。在这个方向上,这项工作通过引入基于认知的绿色通信技术做出了贡献,以确保由于CO升高引起的环境和健康问题 二氧化碳向环境中的排放急剧增加,并暴露于大量有害辐射中,这实际上对人类,动物和鸟类也有害。能源消耗的增加和资源的稀缺使能源成为21世纪的地缘政治问题。在这个方向上,这项工作通过引入基于认知的绿色通信技术做出了贡献,以确保由于CO升高引起的环境和健康问题2级。在第二阶段中,关于使未来无线网络绿色化的未来方法的启发性调查涵盖了利弊。在第三阶段,本文提供了一个有关正在进行的有关绿色交流的项目活动的研究挑战框架,这进一步需要研究界的关注。

更新日期:2020-07-20
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