Allocation of IPTV streams over broadband wireless through fuzzy logic control

Razavi, Rouzbeh; Fleury, Martin; Ghanbari, M.; Sammak, H.

doi:10.1109/iscc.2009.5202388

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…After successfully utilized in intelligent controlling field, FLC is increasingly applied to solving allocation problems in transmission. In [6]- [8], FLCs are implemented in different transmission systems and achieve various degree of performance improvement.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Resource Allocator for Wireless Video Transmission in LTE System

Fei

Zhao

2015

2015 IEEE 81st Vehicular Technology Conference (VTC Spring)

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In wireless video transmission, encoded video frames are often transmitted with certain delay and reliability constrain. Due to the limited wireless bandwidth, time-variant channel conditions and the fluctuant video frame rate, it is difficult to allocate transmission resources to guarantee online video quality. In this paper, we propose a fuzzy logic resource allocator (FLRA), aiming at enhancing the user experience of different online video streams and increasing the system load. By jointly utilize the information of remainder play time of user equipments (UEs) and the varying channel conditions of different UEs, FLRA employed in the base station calculates the priority list and makes allocation in real time. The proposed FLRA is implemented in a Long Term Evolution (LTE) simulation system, in which three kinds of video streams are supported. Numerical results verify that the proposed method outperforms the conventional methods significantly, especially in high signal-to-noise ratio condition.978-1-4799-8088-8/15/$31.00 ©2015 IEEE

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Section: Introductionmentioning

confidence: 99%