Context-Aware User Association for Energy Cost Saving in a Green Heterogeneous Network with Hybrid Energy Supplies

Wang, Bang; Kong, Qiao; Yang, Laurence T.

doi:10.1007/s11036-015-0621-4

Cited by 7 publications

(5 citation statements)

References 43 publications

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“…Kumazoe et al [19] propose a user reassociation scheme where an AP migrates its associated users to another AP and then switches its status to sleep when the AP finds that its utilization is lower than the predefined threshold. Wang et al [20] consider user association in a heterogeneous network with hybrid energy supplies, where energy saving is subject to the constraints of a user data rate requirement, transmission power budget, and so forth. They formulate the energy cost saving optimization problem and present both centralized and distributed solutions.…”

Section: Related Workmentioning

confidence: 99%

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Energy‐Efficient User Association with Congestion Avoidance and Migration Constraint in Green WLANs

Luo

Dong

et al. 2018

Wireless Communications and Mobile Computing

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Green wireless local area networks (WLANs) have captured the interests of academia and industry recently, because they save energy by scheduling an access point (AP) on/off according to traffic demands. However, it is very challenging to determine user association in a green WLAN while simultaneously considering several other factors, such as avoiding AP congestion and user migration constraints. Here, we study the energy-efficient user association with congestion avoidance and migration constraint (EACM). First, we formulate the EACM problem as an integer linear programming (ILP) model, to minimize APs' overall energy consumption within a time interval while satisfying the following constraints: traffic demand, AP utilization threshold, and maximum number of demand node (DN) migrations allowed. Then, we propose an efficient migration-constrained user reassociation algorithm, consisting of two steps. The first step removes AP-DN associations to eliminate AP congestion and turn off as many idle APs as possible. The second step reassociates these DNs according to an energy efficiency strategy. Finally, we perform simulation experiments that validate our algorithm's effectiveness and efficiency.

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Section: Related Workmentioning

confidence: 99%

“…Update ( ) (20) else (21) return null // Reassociation failed turn off the APs. The step stops when the total number of removed DNs reaches and returns and V.…”

Section: 1mentioning

confidence: 99%

Energy‐Efficient User Association with Congestion Avoidance and Migration Constraint in Green WLANs

Luo

Dong

et al. 2018

Wireless Communications and Mobile Computing

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“…Approaches. Some algorithms have been proposed to approach the cost minimization problem from different perspectives, including green energy aware user association [10,11], BS sleeping [17], and integrated green energy allocation and spatial traffic balancing algorithms [18,19].…”

Section: 4mentioning

confidence: 99%

“…Green Energy Aware User Association. In [10,11], we have proposed green energy aware user association schemes to minimize the total energy cost, while guaranteing the users' data rate requirements for a HCN-HES. It includes two optimization phases: The first is to minimize the total power consumption for all BSs, which is to obtain an initial user association scheme such that no more user reassociation can further reduce the total power consumption; As the power demand may not exactly match the green energy storage for each BS, the second phase is to adjust some user-BS associations to make full utilization of green energy storage across BSs.…”

Section: 4mentioning

confidence: 99%

“…It has been reported that the telecommunication industry is responsible for about 2 percent of the total CO 2 emissions worldwide, and the percentage is expected to double in 2020 [8]. To reduce the carbon footprint, recently, integrating some green energy, such as wind and solar power, into the existing cellular networks has became another research priority [9][10][11][12]. German mobile operator E-Plus (available: https:// nsn.com/news-events/publications/unite-magazine-issue-10/ e-plus-launches-germany-s-first-zero-co2-off-grid-base-station) has launched the first generation of green BSs by adopting a combination of solar and wind power only.…”

Section: Introductionmentioning

confidence: 99%

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Energy Cost Minimization in Heterogeneous Cellular Networks with Hybrid Energy Supplies

Wang

Kong

Yang

2016

Mobile Information Systems

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The ever increasing data demand has led to the significant increase of energy consumption in cellular mobile networks. Recent advancements in heterogeneous cellular networks and green energy supplied base stations provide promising solutions for cellular communications industry. In this article, we first review the motivations and challenges as well as approaches to address the energy cost minimization problem for such green heterogeneous networks. Owing to the diversities of mobile traffic and renewable energy, the energy cost minimization problem involves both temporal and spatial optimization of resource allocation. We next present a new solution to illustrate how to combine the optimization of the temporal green energy allocation and spatial mobile traffic distribution. The whole optimization problem is decomposed into four subproblems, and correspondingly our proposed solution is divided into four parts: energy consumption estimation, green energy allocation, user association, and green energy reallocation. Simulation results demonstrate that our proposed algorithm can significantly reduce the total energy cost.

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Joint User Association and Interference Mitigation for D2D-Enabled Heterogeneous Cellular Networks

2016

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The heterogeneous cellular networks (HCNs) with device-to-device (D2D) communications have been a promising solution to cost-efficient delivery of high data rates. A key challenge in such D2D-enabled HCNs is how to design an effective association scheme with D2D model selection for load balancing. Moreover, the offloaded users and D2D receivers (RXs) would suffer strong interference from BSs, especially from high-power BSs. Evidently, a good association scheme should integrate with interference mitigation. Thus, we first propose an effective resource partitioning strategy that can mitigate the interference received by offloaded users from high-power BSs and the one received by D2D RXs from BSs. Based on this, we then design a user association scheme for load balancing, which jointly considers user association and D2D model selection to maximize network-wide utility. Considering that the formulated problem is in a nonlinear and mixted-integer form and hard to tackle, we adopt a dual decomposition method to develop an efficient distributed algorithm. Simulation results show that the proposed scheme provides a load balancing gain and a resource partitioning gain. Index Terms-heterogeneous cellular networks; device-todevice communications; interference mitigation; user association; load balancing; distributed algorithm.T. Zhou is with the

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Context-Aware User Association for Energy Cost Saving in a Green Heterogeneous Network with Hybrid Energy Supplies

Cited by 7 publications

References 43 publications

Energy‐Efficient User Association with Congestion Avoidance and Migration Constraint in Green WLANs

Energy‐Efficient User Association with Congestion Avoidance and Migration Constraint in Green WLANs

Energy Cost Minimization in Heterogeneous Cellular Networks with Hybrid Energy Supplies

Joint User Association and Interference Mitigation for D2D-Enabled Heterogeneous Cellular Networks

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