Reliable Multimedia Transmission Over Cognitive Radio Networks Using Fountain Codes

Kushwaha, Harikeshwar; Xing, Yanfei; Chandramouli, R.; Heffes, H.

doi:10.1109/jproc.2007.909917

Cited by 128 publications

(59 citation statements)

References 15 publications

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“…The experiment results are shown in Table 3 which indicates that the number of AL-FEC overheads needed to successfully decode the original data is at least 20%. Kushwaha et al (2008) also provided a similar result in their work. Based on this result, we set lower bound of AL-FEC overhead to 20% in the following simulations.…”

Section: Simulation Parameterssupporting

confidence: 75%

Optimal Resource Allocation for Layered Video Multicasting in Wimax

Teng¹,

Wu²,

Hwang³

2014

Journal of Computer Science

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Real-time video disseminations over wireless links such as video telephony, video conferencing and mobile TV have become fast growing applications. In order to cope with the increasing users' demand, a new scalable and efficient wireless distribution platform is needed. With numerous advantages such as QoS assurance, high data rate and wide coverage, WiMAX has been regarded as an ideal choice to provide ubiquitous access for multimedia applications. However, how to achieve effective layered video multicasting in WiMAX networks is a challenging issue. In this study, we propose a utility-based resource allocation mechanism for layered video multicasting. In the proposed approach, Application-Layer Forward Error Correction (AL-FEC) is employed to deal with inevitable packet loss. Thus, for each video layer, WiMAX base stations can jointly choose a proper Modulation-and-Coding Scheme (MCS) and AL-FEC overheads to transmit. Our goal is to maximize the system utility which comprises two important factors, system reward and resource usage. System reward represents the summation of video quality of all subscribers while resource usage denotes the consumed WiMAX resources in terms of time slots. To efficiently obtain the optimal solution, we propose two heuristic algorithms, namely genetic algorithm and Layered Policy Iteration (LPI) algorithm and compared their performance to the optimal solution found by exhaustive search. We demonstrate the performance of the approaches via extensive simulations. The simulation results show that the LPI algorithm can provide great service quality and utilize system resource effectively.

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Section: Simulation Parameterssupporting

confidence: 75%

Optimal Resource Allocation for Layered Video Multicasting in Wimax

Teng¹,

Wu²,

Hwang³

2014

Journal of Computer Science

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“…In addition, because the available spectrum changes rapidly and there are many different QoS requirements for different applications, CR networks have to handle many additional challenges: interference avoidance with primary users, optimal spectrum band selection for QoS guarantee, seamless communications regardless of the appearance of primary users [32], to name a few. To tackle these challenges, a coexistence decision mechanism (CDM) of a CR network must have these four functionalities: spectrum sensing, spectrum decision, spectrum sharing strategy and spectrum mobility, described in detail in [33][34][35][36]. The cycle of cognitive radio functionalities is shown in Figure 1.…”

Section: Coexistence Challenges For Cr Network In Tvwsmentioning

confidence: 99%

A Survey on Coexistence in Heterogeneous Wireless Networks in TV White Spaces

Maloku

Fazliu

Ibrani

2018

Wireless Communications and Mobile Computing

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With the advent of analog to digital transition in TV broadcasting, a substantial amount of spectrum has become available in TV bands. To take advantage of this, the idea for cognitive radios was introduced for two major reasons: better utilization of spectrum in urban areas and facilitation of wireless connectivity in rural areas. To achieve these two goals, however, many challenges have to be addressed first. Considering that these frequencies are commonly licensed, besides primary user detection, a serious challenge remains the detection and identification of other secondary devices and networks. The problems arising from this issue concern the coexistence problems happening from having several primary and secondary networks of different technologies cohabiting the same licensed spectrum simultaneously and from many secondary systems/users coexisting at the same place while using identical or different technologies. In this survey we provide a review of existing works and outline new challenges regarding coexistence and self-coexistence in heterogeneous wireless networks in TV White Spaces including a comparative analysis between selected coexistence mechanisms.

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“…When a SU changes its spectrum, its transmission suspends, which invariably leads to latency increase. To ensure smooth and fast transition with minimum performance degradation, a good spectrum handoff mechanism is required [113][114][115][116][117]. One way to alleviate latency is to reserve a certain number of spectrum bands for spectrum handoff [113].…”

Section: Spectrum Handoffmentioning

confidence: 99%

Ten years of research in spectrum sensing and sharing in cognitive radio

Zhou

Onunkwo

et al. 2012

J Wireless Com Network

216

117

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Cognitive radio (CR) can successfully deal with the growing demand and scarcity of the wireless spectrum. To exploit limited spectrum efficiently, CR technology allows unlicensed users to access licensed spectrum bands. Since licensed users have priorities to use the bands, the unlicensed users need to continuously monitor the licensed users' activities to avoid interference and collisions. How to obtain reliable results of the licensed users' activities is the main task for spectrum sensing. Based on the sensing results, the unlicensed users should adapt their transmit powers and access strategies to protect the licensed communications. The requirement naturally presents challenges to the implementation of CR. In this article, we provide an overview of recent research achievements of including spectrum sensing, sharing techniques and the applications of CR systems.

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Reliable Multimedia Transmission Over Cognitive Radio Networks Using Fountain Codes

Cited by 128 publications

References 15 publications

Optimal Resource Allocation for Layered Video Multicasting in Wimax

Optimal Resource Allocation for Layered Video Multicasting in Wimax

A Survey on Coexistence in Heterogeneous Wireless Networks in TV White Spaces

Ten years of research in spectrum sensing and sharing in cognitive radio

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