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Power-aware fuzzy based joint base station and relay station deployment scheme for green radio communication

机译:基于功率感知模糊的绿色无线电通信基站和中继站联合部署方案

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摘要

In recent years, green wireless communication has received much attention of industrial and academic communities due to its ability to create eco-friendly power efficient networks. To support anytime-anywhere seamless broadband services to all mobile subscribers, more number of macro base stations (BSs) have to be deployed. The macro BSs are power inefficient and also responsible for large carbon dioxide (CO_2) emissions. The increase in the number of macro BSs will also increase the system cost and interference. The concept of multi-hop relay network has been widely discussed in long term evolution-advanced (LTE-A) standard, where the low power relay stations (RSs) are also deployed along with the macro BS to address the coverage and capacity issues. However, improper BS and RS deployment introduces power inefficiency, transmission delay, huge deployment cost and reduced throughput. Many of the conventional deployment schemes require iterative and complex computation. These deployment schemes are not eco-friendly and do not sustain for all channel conditions. In this work, we have proposed an eco-friendly, power-aware, fuzzy based BS and RS deployment algorithm to maximize the coverage and capacity of the system. Unlike the conventional methods, a new parameter called power consumption effectiveness ratio, which accounts for the greenness of the network is proposed and included in the fuzzy based decision making process along with the coverage ratio and traffic ratio. The simulation results prove that the proposed scheme is superior over the conventional uniform clustering and fuzzy based schemes. Further the proposed scheme is more suitable candidate for power-aware green radio communication.
机译:近年来,绿色无线通信因其能够创建环保的节能网络而受到了工业界和学术界的广泛关注。为了支持对所有移动用户的随时随地的无缝宽带服务,必须部署更多数量的宏基站(BS)。宏BS的电源效率低下,还导致大量的二氧化碳(CO_2)排放。宏基站数量的增加也将增加系统成本和干扰。在长期演进高级(LTE-A)标准中,对多跳中继网络的概念进行了广泛的讨论,在该标准中,还与宏BS一起部署了低功率中继站(RS)以解决覆盖范围和容量问题。但是,BS和RS部署不当会导致电源效率低下,传输延迟,巨大的部署成本并降低吞吐量。许多常规部署方案需要迭代和复杂的计算。这些部署方案不环保,并且无法在所有渠道条件下均得到维持。在这项工作中,我们提出了一种环保的,基于功率的感知,基于模糊的BS和RS部署算法,以最大化系统的覆盖范围和容量。与传统方法不同,提出了一个新的参数,称为功耗有效率,该参数说明了网络的绿色程度,并将其与覆盖率和流量比率一起纳入了基于模糊的决策过程。仿真结果表明,该方案优于传统的均匀聚类和基于模糊的方案。此外,所提出的方案更适合用于具有功率意识的绿色无线电通信。

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