Energy‐efficient network selection with mobility pattern awareness in an integrated WiMAX and WiFi network

Yang, Wen-Hsin; Wang, You‐Chiun; Tseng, Yu–Chee; Lin, Bor‐Shyh

doi:10.1002/dac.1066

Cited by 45 publications

(32 citation statements)

References 33 publications

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“…The authors use the current speed of UE to estimate its average time spent in small cell without considering speed variation (e.g., because of road traffic variation and signalization) along UEs' movement and the speed of UEs that are currently located in the small cell. W.-H. Yang et al [14] proposed a handoff scheme with geographic mobility awareness (HGMA) which considers historical handoff patterns of mobile devices. They evaluated a mobility-based scanning and cell selection mechanism in HetNets consisting of WiFi (small cell) and WiMAX (macro cell) networks.…”

Section: Related Workmentioning

confidence: 99%

“…We compare MPSTE against the schemes described in [13] and [14], referred to as AP1 and AP2, respectively. We selected AP1 and AP2 because to the best of our knowledge (1) they represent the best work related to energy saving during small cell scanning process; and (2) they are based on UEs' mobility behavior to trigger small cell scanning; indeed, whether the UE's speed is smaller than a threshold speed (resp.…”

Section: Performance Evaluationmentioning

confidence: 99%

See 1 more Smart Citation

Energy Efficient Small-Cell Discovery Using Users’ Mobility Prediction

Nadembéga

Hafid

Brisebois³

2015

Ad-Hoc, Mobile, and Wireless Networks

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Abstract. Deployment of small cells (i.e., picocells and femtocells) within macrocell coverage is seen as a cost-effective way to increase system capacity and to equip wireless WANs with the ability to keep up with the increasing demand for data capacity. Existing cell discovery mechanisms are tailored for homogeneous networks (macrocells only). User Equipment (UE) cannot efficiently save energy in the process of small cells detection in order to exploit offloading opportunities provided by such heterogeneous deployments. In this paper, we propose a Mobility Prediction aware Scanning Start Time Estimation (MPSTE) scheme to discover/detect small cells efficiently in terms of energy. Based on the current data on road segments (e.g., density of road segment, UEs' speeds and physical aspects of road segment) and current behaviour of UEs on the road segment, MPSTE allows deriving the time interval UE will spend in the small cell and making decision to perform handoff or no; if handoff is necessary, MPSTE derives the best time to begin the scanning process to discover small cells. Simulation results show the benefits of MPSTE over existing schemes in terms of energy saving by UEs.

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Section: Related Workmentioning

confidence: 99%

Section: Performance Evaluationmentioning

confidence: 99%

Energy Efficient Small-Cell Discovery Using Users’ Mobility Prediction

Nadembéga

Hafid

Brisebois³

2015

Ad-Hoc, Mobile, and Wireless Networks

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“…low scanning frequency) can lead to the UT missing small cell offloading opportunity, thus resulting in a potential decrease in capacity. Most prior work on ISCD in literature have focused only on the effect of ISCD periodicity on scanning power without evaluating the impact of UT transmit power reduction when offloading to the small cells [10]- [12], [14]. In [14], a mobility aware handover scheme for HetNets consisting of WiMAX and WiFi networks was proposed.…”

Section: Introductionmentioning

confidence: 99%

“…Most prior work on ISCD in literature have focused only on the effect of ISCD periodicity on scanning power without evaluating the impact of UT transmit power reduction when offloading to the small cells [10]- [12], [14]. In [14], a mobility aware handover scheme for HetNets consisting of WiMAX and WiFi networks was proposed. In their proposed scheme the UT intelligently selects a subset of the network to be scanned, thus saving UT energy consumption.…”

Section: Introductionmentioning

confidence: 99%

On energy efficient inter-frequency small cell discovery in heterogeneous networks

Onireti

Imran

et al. 2015

2015 IEEE International Conference on Communications (ICC)

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In this paper, using stochastic geometry, we investigate the average energy efficiency (AEE) of the user terminal (UT) in the uplink of a two-tier heterogeneous network (HetNet), where the two tiers are operated on separate carrier frequencies. In such a deployment, a typical UT must periodically perform inter-frequency small cell discovery (ISCD) process in order to discover small cells in its neighborhood and benefit from the high data rate and traffic offloading opportunity that small cells present. We assume that the base stations (BSs) of each tier and UTs are randomly located and we derive the average ergodic rate and UT power consumption, which are later used for our AEE evaluation. The AEE incorporates the percentage of time a typical UT missed small cell offloading opportunity as a result of the periodicity of the ISCD process. In addition to this, the additional power consumed by the UT due to the ISCD measurement is also included. Moreover, we derive the optimal ISCD periodicity based on the UT's average energy consumption (AEC) and AEE. Our results reveal that ISCD periodicity must be selected with the objective of either minimizing UT's AEC or maximizing UT's AEE. Index TermsHeterogeneous cellular network, stochastic geometry, fractional power control, small cell discovery, energy efficiency.

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“…So instead of using TCP/IP, cross layer architecture can be a more promising architecture for adhoc networks. Cross-layer design (CLD) breaks the traditional network design, in which information is exchanged among all layers without following any hierarchy of protocol stack [4,5]. The performance is optimized by adapting each layer.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Route Discovery by Cross Layer Routing Protocol- RDCLRP

Fatima¹,

Gupta²,

Bandhopadhyay³

2013

IJCNIS

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Abstract-Wired and wireless network is based on the TCP / IP architecture but it is not sufficient to cope with the dynamics of the MANET. Cross layer design can be an alternative architecture for MANET. Frequent route break is one of the major problems of mobile adhoc network (MANET). Path breaks due to less available battery power and mobility of nodes. Most of the battery power is consumed in flooding of control packets. A key challenge in the design of efficient routing protocol is to reduce link breakage and flooding of control packets. Route breakage can be reduced if the possibility of route breakage is predicted and a handoff is done without drop of data packets. If route breakage is reduced, the more battery power will be available with nodes. In turn it reduces the possibility of route breakage and the possibility of flooding. This is a cumulative effect. So a novel preemptive route repair algorithm is proposed named as RDCLRP-Route discovery by cross layer routing protocol to reduce frequency of control packet flooding and route breakage. Three variants of RDCLRP and their results are illustrated. In this paper, the impact of the number of nodes on performance of RDCLRP are investigated and analyzed. The results show 55.6% reduction in link breakage, 14.7% improvement in residual battery power and an average of 6.7% increase in throughput compared to basic AODV.

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Energy‐efficient network selection with mobility pattern awareness in an integrated WiMAX and WiFi network

Cited by 45 publications

References 33 publications

Energy Efficient Small-Cell Discovery Using Users’ Mobility Prediction

Energy Efficient Small-Cell Discovery Using Users’ Mobility Prediction

On energy efficient inter-frequency small cell discovery in heterogeneous networks

Performance Analysis of Route Discovery by Cross Layer Routing Protocol- RDCLRP

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