Handoff between WiMAX and WiFi wireless networks

Gehlot, Abhishek; Rajavat, Anand

doi:10.1109/cdan.2016.7570926

Cited by 6 publications

(4 citation statements)

References 1 publication

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“…To provide seamless roaming and service continuity there is a need to combine various wireless access technologies and define reliable intersystem handover strategies. Related works on intersystem handover are focused on performance optimization [9], [10] and algorithms for handover decision [11], [12], [13].…”

Section: Related Work and Research Motivationmentioning

confidence: 99%

Mobile Edge Service for Intersystem Handover

Pencheva¹,

Atanasov²,

Kireva-Mihova³

et al. 2018

IJET

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Multi-access Edge Computing (MEC) appears to be an integrating technology for radio access networks to enhance the access capacity, optimize network performance and improve quality of experience for end users. MEC distributes cloud capabilities for storage and computing in the radio access network, close to the end users. As far as the development of advanced Application Programming Interfaces is a key area, we propose a new mobile edge service that enables 3rd party control on intersystem handover. The proposed service enables authorized applications to initiate intersystem handover following specific policy. The service is described by information flows illustrating the basic functionality, data models that provide mediation functions, and handover state models considering some implementation issues.

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Section: Related Work and Research Motivationmentioning

confidence: 99%

Mobile Edge Service for Intersystem Handover

Pencheva¹,

Atanasov²,

Kireva-Mihova³

et al. 2018

IJET

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“…By far, the main structures of the heterogeneous wireless network (WN) are wireless local area networks-(WLAN-) worldwide interoperability for microwave access (WiMax), WiMax-WiFi, WLAN-universal mobile telecommunications system (UMTS), WiMax-3G (3rd generation), etc. [4][5][6]. Simultaneously, the spectral e ciency of the wireless communication approximates to Shannon limit based on the traditional orthogonal frequency division multiplexing (OFDM) and the multiple input multiple output (MIMO).…”

Section: Introductionmentioning

confidence: 99%

Adaptive Multipath Selection-Based Markov Chain in the Heterogeneous Internet of Things

Wen

et al. 2019

Wireless Communications and Mobile Computing

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The Internet of Things (IoT) is a new heterogeneous system integrated by the various end users (sensors and terminals) with different technologies. However, the limiting factor is bandwidth in the IoT due to the exploding end users and the network bandwidth requirements. A novel IoT model, which integrates the power-line carrier (PLC) and the wireless network (WN), is proposed to solve the bandwidth problem from the architecture, especially in the areas lacking network facilities. In addition, we exploit an effective virtual layer (EVL) which allows the different end users to access the system model seamlessly. Then, the attractor selection algorithm based on Markov chain (MASA) is employed to select an optimal path among the PLC or WN. The simulation results demonstrate that the proposed system model has the smaller average queuing delay than other algorithms and makes the model more stable and robust.

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“…decrease the need for bandwidth for a lower cost and low‐power consumption, in this context, the ZigBee [7] alliance was born: it is a global and open standard (corresponding to the IEEE 802.15.4) for wireless communications with low‐cost and low‐energy consumptions. Wireless fidelity (Wi‐Fi) [8] is the trade name given to the IEEE 802.11b standard; its main interest is to standardise the physical and link layers in order to easily interoperate the different standards of local networks; it is also used for Voice Over Internet Protocol (VoIP) phone and Internet access. The worldwide interoperability for microwave access (WiMAX) [8] (the IEEE 802.16 standard) aims to obtain competing radio links from the x Digital Subscriber Line (xDSL) for high‐speed Internet access while offering new applications to wireless local loops.…”

Section: Introductionmentioning

confidence: 99%

“…Wireless fidelity (Wi‐Fi) [8] is the trade name given to the IEEE 802.11b standard; its main interest is to standardise the physical and link layers in order to easily interoperate the different standards of local networks; it is also used for Voice Over Internet Protocol (VoIP) phone and Internet access. The worldwide interoperability for microwave access (WiMAX) [8] (the IEEE 802.16 standard) aims to obtain competing radio links from the x Digital Subscriber Line (xDSL) for high‐speed Internet access while offering new applications to wireless local loops. WiMAX is a good compromise between the asymmetric digital subscriber line bandwidth capabilities and the lack of Wi‐Fi wire, increasing the coverage of the latter's technology.…”

Section: Introductionmentioning

confidence: 99%

Network calibration method based on a Bayesian approach using frequency modulation communications for wireless systems over additive white Gaussian noise channel

Chaal¹,

Lyhyaoui²

2018

IET signal process.

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Wireless sensor networks offer flexibility to monitor environmental conditions. However, in some hostile environments with changing propagation occurrences, it is challenging to guarantee a network free from systematic errors (biases), those errors can corrupt the data gathered from the network. The authors intend to address this problem using a Bayesian approach. This study presents a new Bayesian wireless network model based on a belief propagation algorithm over a noisy communication, to seek the calibration of the network for correlated sources. They set up a point-to-point communication model, consisting of a frequency modulation signal at the transmitter and a discrete-time phase-locked loop structure at the receiver over an additive white Gaussian noise channel. Then, they use a Bayesian approach to model the propagation of information, and analyse the noise impact on their system. The simulation results show significant improvement within a few time instants in the mean squared error of the sensors internal states. An evaluation in a noisy environment confirms the robustness of the proposed system.

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Handoff between WiMAX and WiFi wireless networks

Cited by 6 publications

References 1 publication

Mobile Edge Service for Intersystem Handover

Mobile Edge Service for Intersystem Handover

Adaptive Multipath Selection-Based Markov Chain in the Heterogeneous Internet of Things

Network calibration method based on a Bayesian approach using frequency modulation communications for wireless systems over additive white Gaussian noise channel

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