Power-Optimized Vertical Handover Scheme for Heterogeneous Wireless Networks

Song, Yujae; Kong, Peng‐Yong; Han, Yanyan

doi:10.1109/lcomm.2013.120713.132279

Cited by 32 publications

(10 citation statements)

References 10 publications

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“…kEW 2) switching cost function: To describe the incruence of signaling load, re-routing operation, extra battery consumption etc, we introduce the switching cost [15]. we deCIDe, (8) where Ki, a / is the switching cost from current serving cell i to cell at.…”

Section: Transition Probabilitiesmentioning

confidence: 99%

“…In [14], the authors proposed a handover decision algorithm based on MDP to maximize the expected total reward, which had taken data arrival, handover delay, network capacity ,and the handover signaling overhead into consideration. In [15], the authors proposed a vertical hand over scheme to minimize the total energy consumption, considering the link qualities as well as the power consumption of base station.…”

Section: Introductionmentioning

confidence: 99%

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Joint handover decision and channel allocation for LTE-A femtocell networks

Chen

Wang

Xiang

et al. 2014

The 2014 5th International Conference on Game Theory for Networks

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Cell handover has been considered as one of the most challenging issues in LTE-A macro-femtocell networks, due to the ad hoc deployment nature of Femto Base Stations (FBSs). In this paper, our goal is to achieve seamless handover of Mobile Te rminal (MT) among different cells while improving the system throughput. First, we formulate the handover decision and channel allocation problem as a Markov Decision Problem (MDP) whose objective is to maximize the total discounted expected reward per connection over an inOilite horizon. The MDP formulation takes various system parameters into account such as MT moving velocity, MT buffer size, cell switching cost and call dropping penalty. Then, we propose an algorithm based on Q-Iearning techniques to obtain the optimal cell handover and channel allocation policy. Simulation results show that our proposed algorithm is effective, and can maximize the expected total reward and reduce the average number of handovers.Index Terms Handover decision, Markov decision process, Femtocell, Q-Iearning.

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Section: Transition Probabilitiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Joint handover decision and channel allocation for LTE-A femtocell networks

Chen

Wang

Xiang

et al. 2014

The 2014 5th International Conference on Game Theory for Networks

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“…With M/G/1 queueing analysis, [3] analyzes the relationship between power consumption and delay for the downlink of HetNets, in which the tradeoff relationship between those is found. In [4], a handover scheme is proposed to minimize the total power consumption required in serving a traffic flow, without compromising a particular service rate given different access networks. In Manuscript [5], a dynamic small BS on/off scheme for traffic offloading based on the Stackelberg game is proposed with the objective of optimizing the packet throughput performance with the minimum energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Minimizing Energy Consumption Through Traffic Offloading in HetNets With Two-Class Traffic

2015

Self Cite

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In this letter, we propose a traffic offloading method to minimize the energy consumption of 2-tier heterogeneous networks (HetNets) that support 2 classes of packets with different delay requirements. We drive a scheme to determine the optimal base station (BS) association biases that minimize the packet delays given an energy consumption. By employing the scheme iteratively, we can determine the minimum network energy consumption required in satisfying simultaneously different delay requirements of 2 packet classes. Numerical results confirm that by means of optimal BS association biases, the desired packet delays can be achieved with a lower network energy consumption when compared with the case of not controlling BS association biases. This result arrives at a conclusion that traffic offloading with optimal BS association biases can lead to network energy saving.

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“…The work in looks into energy efficient ways of operating dense small cell networks by applying concepts from cognitive radio. A vertical power‐optimized (considering static circuit and transmit power) handover mechanism is proposed in for HetNet. However, there are few studies analyzing EE optimization considering both types of circuit power (static and dynamic) in HetNet.…”

Section: Introductionmentioning

confidence: 99%

Energy efficiency optimization for downlink OFDMA system in heterogeneous network with QoS constraints

Bastos

Huq

Mumtaz

et al. 2015

Int J Communication

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Summary Energy efficiency (EE) has currently turn into one of the major issues in heterogeneous networks (HetNet) paradigm of today's wireless communication industry. In this paper, we optimize EE for downlink OFDMA system in HetNet, taking into account realistic network power consumption model, that is, considering circuit power. This paper investigates the EE maximization using convex optimization theory where primary optimization criterion is data rate in a downlink multiuser HetNet. Given QoS (data rate) requirement, for maximizing EE, a constrained based optimization problem is devised. Because the optimization problem is non‐convex in nature, we reconstruct the optimization problem as a convex one and devise a pragmatically efficient novel resource assignment algorithm for maximizing achievable EE, with quick convergence. The considered optimization problem is transformed into a convex optimization problem by redefining the constraint using cubic inequality, which results in an efficient iterative resource allocation algorithm. In each iteration, the transformed problem is solved by using dual decomposition with a projected gradient method. Analytical insights and numerical results exhibit the potency of the devised scheme for the targeted complex wireless systems. Copyright © 2015 John Wiley & Sons, Ltd.

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Power-Optimized Vertical Handover Scheme for Heterogeneous Wireless Networks

Cited by 32 publications

References 10 publications

Joint handover decision and channel allocation for LTE-A femtocell networks

Joint handover decision and channel allocation for LTE-A femtocell networks

Minimizing Energy Consumption Through Traffic Offloading in HetNets With Two-Class Traffic

Energy efficiency optimization for downlink OFDMA system in heterogeneous network with QoS constraints

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