Distributed user association for delay-load tradeoffs in energy harvesting enabled HetNets

Xu, Hongzhang; Zhang, Tiankui; Zeng, Zhimin; Dan-tong, Liu

doi:10.1109/wcncw.2015.7122586

Cited by 7 publications

(3 citation statements)

References 10 publications

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“…3 sin θ 6 cos 3 θ (2 − y)(π − 2θ) + 4θ(1 + y − x) . (31) In this case, we need another constraint of x and y to complete the proof. Given a subset of SBSs, we regard each SBS as a vertex in the planar graph.…”

Section: Propositionmentioning

confidence: 99%

“…2 Based on the result of [31], the transmission delay is mainly influenced by the number of connected users, and this relationship can be approximately regarded as a linear one. On the other hand, a specific user in the overlapping area of two SBSs can contribute incremental delay to both SBSs, no matter which SBS it is connected to.…”

Section: A Problem Formulationmentioning

confidence: 99%

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Caching as a Service: Small-Cell Caching Mechanism Design for Service Providers

Zheng

Wang

et al. 2016

IEEE Trans. Wireless Commun.

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Wireless network virtualization has been well recognized as a way to improve the flexibility of wireless networks by decoupling the functionality of the system and implementing infrastructure and spectrum as services. Recent studies have shown that caching provides a better performance to serve the content requests from mobile users. In this paper, we propose that caching can be applied as a service in mobile networks, i.e., different service providers (SPs) cache their contents in the storages of wireless facilities that owned by mobile network operators (MNOs). Specifically, we focus on the scenario of small-cell networks, where cache-enabled small-cell base stations (SBSs) are the facilities to cache contents. To deal with the competition for storages among multiple SPs, we design a mechanism based on multi-object auctions, where the time-dependent feature of system parameters and the frequency of content replacement are both taken into account. Simulation results show that our solution leads to a satisfactory outcome.

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Section: Propositionmentioning

confidence: 99%

Section: A Problem Formulationmentioning

confidence: 99%

Caching as a Service: Small-Cell Caching Mechanism Design for Service Providers

Zheng

Wang

et al. 2016

IEEE Trans. Wireless Commun.

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“…To cope with the foregoing issues, we propose an optimal backhaul‐aware joint UL and DL user association for delay‐power trade‐offs in HetNets with hybrid energy sources in this paper. Average traffic delay is a critical metric for user association, which has been widely used in the existing research . The delay that we considered here includes not only the DL and UL average traffic delay over the wireless access link between the BS and the user but also the DL and UL average traffic delay over the backhaul link between the BS and the network controller.…”

Section: Introductionmentioning

confidence: 99%

Backhaul aware joint uplink and downlink user association for delay‐power trade‐offs in HetNets with hybrid energy sources

Liu

Chen

Chai

et al. 2015

Trans. Emerging Tel. Tech.

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In cellular networks, conventional user association algorithms are solely based on downlink (DL) performance, which may lead to inefficient transmission power and high interference in the uplink (UL) transmission. In addition, the backhaul data rate constraint has been neglected by the majority of the existing user association algorithms. However, the backhaul constraint has become more severe in heterogeneous networks (HetNets) where small cells are densely deployed to meet the skyrocketing data traffic demand. In this paper, we propose an optimal backhaul-aware joint UL and DL user association for delay-power trade-offs in HetNets with hybrid energy sources. In the considered HetNets, all the base stations are assumed to be powered by a combination of power grid and renewable energy sources, in order to achieve both uninterrupted and green communications. Taking both UL and DL transmissions into consideration, the proposed user association algorithm aims to improve network quality of service by minimising the sum of UL and DL average traffic delay, as well as to reduce the overall UL power consumption of users and DL on-grid power consumption by maximising the utilisation of green power harvested from renewable energy sources. To this end, a convex optimisation problem is formulated to minimise the weighted sum of cost of average traffic delay and cost of power consumption. We have proved that the proposed user association algorithm converges to the global optimum, which enables a flexible trade-off between average traffic delay and power consumption. Simulation results validate the effectiveness of the proposed algorithm in adapting the traffic loads among base stations along with the distribution of green power and the backhaul data rate constraint. Simulation results also demonstrate that the proposed user association algorithm achieves prominent improvement in UL average traffic delay reduction and effectively reduces both the DL on-grid power consumption and overall UL power consumption of users, with limited sacrifice on DL average traffic delay, compared with the user association algorithm only based on DL performance.

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Joint base station operation and user association in cloud based HCNs with hybrid energy sources

Zhang

Zeng

et al. 2015

2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Distributed user association for delay-load tradeoffs in energy harvesting enabled HetNets

Cited by 7 publications

References 10 publications

Caching as a Service: Small-Cell Caching Mechanism Design for Service Providers

Caching as a Service: Small-Cell Caching Mechanism Design for Service Providers

Backhaul aware joint uplink and downlink user association for delay‐power trade‐offs in HetNets with hybrid energy sources

Joint base station operation and user association in cloud based HCNs with hybrid energy sources

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