Network Coding and User Cooperation for Streaming and Download Services in LTE Networks

Zhang, Qi; Heide, Janus; Pedersen, Morten Videbæk; Fitzek, Frank H. P.; Lilleberg, J.; Rikkinen, Kari

doi:10.1016/b978-0-12-380918-6.00005-6

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A Performance Evaluation1

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Cited by 4 publications

(2 citation statements)

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“…Data exchange between heterogeneous devices facilitates coding techniques to increase network goodput and decrease data latency. Metrics are used to evaluate network performance [11]. Table 1 showcases the latest advances in distributed rateless coding and their potential applications.…”

Section: Related Workmentioning

confidence: 99%

Middleware for Distributed Fulcrum Coding on the Fly: Leveraging Efficient Communications for 5G-IoT Heterogeneous Mobile Devices

Julio,

Garcia,

Díaz

et al. 2023

IEEE Access

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Section: Related Workmentioning

confidence: 99%

Middleware for Distributed Fulcrum Coding on the Fly: Leveraging Efficient Communications for 5G-IoT Heterogeneous Mobile Devices

Julio,

Garcia,

Díaz

et al. 2023

IEEE Access

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“…In our previous work [17] the theoretical upper and lower bounds for this measure were established considering an ideal system based on network coding. The upper bound can be calculated by doubling the expected number of recoverable (i.e.…”

Section: A Performance Evaluationmentioning

confidence: 99%

On-the-Fly Packet Error Recovery in a Cooperative Cluster of Mobile Devices

Vingelmann

Pedersen

Fitzek

et al. 2011

2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

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This paper investigates the possibility of packet error recovery in a cooperative cluster of mobile devices. We assume that these devices receive data from a broadcast transmission on their primary network interface (e.g. LTE network), and they are using a secondary network interface (e.g. ad hoc WLAN network) to form a cooperative cluster in order to exchange missing data packets among each other. Our goal is to devise a protocol that minimizes the number of packets exchanged on the secondary network whilst maximizes the number of packet errors recovered on the primary network. Moreover, we aim to repair the packet losses on-the-fly (as the data is being received), which also imposes real-time constraints on the protocol. We propose a solution based on random linear network coding to form cooperative clusters of mobile devices to facilitate the efficient exchange of information among them. We also introduce a demo application that implements this technique on Nokia phones. Then we present our testbed and the collected measurement results in order to evaluate the performance of our protocol.

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Data sharing among wireless client devices in cooperative manner with minimum transmissions

Lin

Kurkoski

Tan

et al. 2018

J Ambient Intell Human Comput

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Network Coding and User Cooperation for Streaming and Download Services in LTE Networks

Cited by 4 publications

References 4 publications

Middleware for Distributed Fulcrum Coding on the Fly: Leveraging Efficient Communications for 5G-IoT Heterogeneous Mobile Devices

Middleware for Distributed Fulcrum Coding on the Fly: Leveraging Efficient Communications for 5G-IoT Heterogeneous Mobile Devices

On-the-Fly Packet Error Recovery in a Cooperative Cluster of Mobile Devices

Data sharing among wireless client devices in cooperative manner with minimum transmissions

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