Abstract
With more devices and emerging data-intensive services, mobile data traffic grows explosively, which makes the energy efficiency issue in current and future wireless networks be a growing concern. Recently, the advantages of bringing caching scheme in wireless networks have been widely investigated. Although additional power consumption is incurred by deploying caching equipments, the traffic loading balance of radio access network (RAN) and total network delay will be improved. In this paper, we study the energy efficiency problem in future wireless network. Particularly, we give an energy-delay tradeoff algorithm by using the sleeping control and power matching scheme. In the proposed algorithm, we consider a N-based sleeping control scheme, where the base station (BS) is in the sleep state whenever there is no arriving user, and works again when N users arrive. Moreover, the proposed algorithm is suitable for multi-BS scenario; to simplify the analysis, we mainly consider the single case. Simulation results shows that the proposed algorithm can obviously reduce the network power and delay in heterogeneous network conditions. Moreover, we find that a larger cache size does not always obtain a less network cost, because more cache power is consumed as cache size increases.
Highlights
The growing popularity of smart phones, machine to machine devices place an increasing demand for differentiated services from wireless networks
With the dramatic penetration of embedded devices, M2M communications will become a dominant communication paradigm in the communication network, which currently concentrates on machine-to-human or human-to-human information production, exchange, and processing [2].With the explosively grows of mobile data traffic, it brings a lot of challenges in designing and deployment of future
More and more researchers have proved the advantages of caching scheme in wireless networks, which can speed up content distribution and improve network resource utilization
Summary
The growing popularity of smart phones, machine to machine devices place an increasing demand for differentiated services from wireless networks. We systematically study the energy efficiency problem in future wireless network. We evaluate the proposed algorithm in different network conditions and compare it with the scenario without caching Scheme. Simulation results reveal that the proposed model obviously reduces the network power and delay, and makes an energy-delay tradeoff. To evaluate the performance of the proposed the future wireless network, we assume that the BSs hold the cognitive capability to detect the existence of wireless devices. 2γijhij þ 1 the power consumption in the wireless network with caching scheme. 2.3.1 Cache power We assume the cache in the future wireless network has active mode and sleep mode, just like the traditional BS. 2.3 Power model In the proposed scenario, we assume that the wireless devices arrive according to a Poisson process with arrival rate r. We use an energy-proportional model [16] to model
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