2017
DOI: 10.1109/mwc.2017.1600353
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Base Station ON-OFF Switching in 5G Wireless Networks: Approaches and Challenges

Abstract: Abstract-To achieve the expected 1000x data rates under the exponential growth of traffic demand, a large number of base stations (BS) or access points (AP) will be deployed in the fifth generation (5G) wireless systems, to support high data rate services and to provide seamless coverage. Although such BSs are expected to be small-scale with lower power, the aggregated energy consumption of all BSs would be remarkable, resulting in increased environmental and economic concerns. In existing cellular networks, t… Show more

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Cited by 147 publications
(81 citation statements)
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References 15 publications
(45 reference statements)
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“…Demand from applications with cross-platform and crosssector is increasing, and the traditional Ethernet has been unable to process the growing data in industry under new requirements of network latency. According to the characteristics of the industrial network, an edge computing platform is introduced between the core network and the factory 5G wireless base station (eNode B) [5,13], and the MEC server is deployed after multiple base stations. The data in the industrial equipment is aggregated to the MEC server after passing through the base station and the factory internal gateway and then passes to the Internet.…”
Section: B Mobile Edge Computingmentioning
confidence: 99%
“…Demand from applications with cross-platform and crosssector is increasing, and the traditional Ethernet has been unable to process the growing data in industry under new requirements of network latency. According to the characteristics of the industrial network, an edge computing platform is introduced between the core network and the factory 5G wireless base station (eNode B) [5,13], and the MEC server is deployed after multiple base stations. The data in the industrial equipment is aggregated to the MEC server after passing through the base station and the factory internal gateway and then passes to the Internet.…”
Section: B Mobile Edge Computingmentioning
confidence: 99%
“…where P (sleep) j is the power consumption of the RRH j when it is put in a sleep state [31,32]. It is worth mentioning that such an approach is general and also allows us to account for a broader range of applications [30]. From (7), the total power consumption for all RRHs at time slot t can be written as…”
Section: F Power Consumptionmentioning
confidence: 99%
“…For example, the business zones may be very heavily loaded during the daytime but lightly loaded at night. Therefore, BS sleeping provides a methodology for opportunistic energy saving by tracing the traffic variation and adapting the resource allocation accordingly, so more and more BSs have been designed with self‐organizing functionality and sleep mode …”
Section: Introductionmentioning
confidence: 99%
“…Therefore, BS sleeping provides a methodology for opportunistic energy saving by tracing the traffic variation and adapting the resource allocation accordingly, 16 so more and more BSs have been designed with self-organizing functionality and sleep mode. 17 However, the flaw of current works ignores the coverage demand but focuses to cut down the total energy consumption with minimal network capacity degradation. 18 While a sleep/wake-up scheduling scheme can lead to a significant increase in energy efficiency (EE), this comes at the expense of possible large-scale network outage or lower capacity affecting quality of service (QoS).…”
Section: Introductionmentioning
confidence: 99%