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Adaptive Coding

The Experts below are selected from a list of 5487 Experts worldwide ranked by ideXlab platform

Xuefeng Liu – 1st expert on this subject based on the ideXlab platform

  • Enhancing ZigBee throughput under WiFi interference using real-time Adaptive Coding
    Proceedings – IEEE INFOCOM, 2014
    Co-Authors: Peng Guo, Jiannong Cao, Kui Zhang, Xuefeng Liu

    Abstract:

    Co-existing in the unlicensed ISM band, ZigBee transmissions can be significantly interfered by WiFi. Although several approaches recently are proposed to enable ZigBee transmission under WiFi interference, the ZigBee throughput still decreases to zero when WiFi throughput (generated by D-ITG) is over 8Mbps. In this paper, we propose a real-time (<; 5ms) Adaptive transmission (RAT) scheme to efficiently adapt forward error-correction Coding (FEC) on ZigBee devices in dynamic WiFi environment. We find that sizes of WiFi frames well follow the power law distribution model. With the model, corruption in ZigBee packets can be estimated to some extent, thus facilitating ZigBee device to choose a suitable FEC Coding to maximize the throughput. Extensive experimental results show that, compared with existing works, RAT achieves significant performance improvement of ZigBee transmissions in WiFi environment with different traffic load. Particularly, the ZigBee throughput of RAT can be about 10kbps when the WiFi throughput is 8Mbps.

Ivan B. Djordjevic – 2nd expert on this subject based on the ideXlab platform

  • OFC – SDN-Based Application Driven In-Band Adaptive Coding in Data Centers
    Optical Fiber Communication Conference, 2020
    Co-Authors: Mingwei Yang, Houman Rastegarfar, Ivan B. Djordjevic

    Abstract:

    A software-defined Adaptive Coding scheme is experimentally implemented and evaluated for 50 Gbps 4-PAM optical switching in wavelength-routing DCs. Up to 1 dB reduction in transmission power is achieved with switching latencies of hundreds of milliseconds.

  • OFC – Hysteresis-based Margin Allocation for Adaptive Coding in SDN-enabled Optical Networks
    Optical Fiber Communication Conference, 2018
    Co-Authors: Yao Li, Mingwei Yang, Ivan B. Djordjevic, Weiyang Mo, Zhen Qu, Daniel C. Kilper

    Abstract:

    Hysteresis-based margin-allocation for Adaptive Coding is experimentally investigated against PDL-induced OSNR fluctuations in a SDN-enabled multi-domain optical network. Up to 90% network outage reduction can be observed under different margins.

  • SDN based in-band Adaptive Coding by distributed pseudonoise preamble detection in optical networks
    Metro and Data Center Optical Networks and Short-Reach Links, 2018
    Co-Authors: Mingwei Yang, Ivan B. Djordjevic

    Abstract:

    In this paper, the challenges and problems for the in-band and off-band Adaptive Coding will be studied. To provide the agile and fast in-band Adaptive Coding, the information of the channel is inserted as the preamble into the each frame. Pseudorandom noise is utilized as the preamble and it is distributed and updated by the SDN controller to the transmitters and the receivers. Deploying the parallel preamble mapping distributed by the SDN controller is not only for the channel synchronization and the clock recovery but also for serving the in-band Adaptive Coding. The proposed scheme for the cross-layer design of the centralized SDN controller for the Adaptive Coding system is demonstrated and discussed. The proposed Adaptive Coding system is implemented and tested in the 100Gbps DP-QPSK fiber-optics transmission system. The performances of the system with different codes and Adaptive scheme in the system are examined and plotted. Also, the time-domain analysis for the LDPCs changing is performed to demonstrate its operational features based on the different channel conditions signal-to-noise ratio (SNR). By deploying the pseudonoise preamble detection, the system enables the rapidly in-band Adaptive Coding service with low overhead and short guard time. The cross-layer SDN controlling scheme, for updating the mapping between preamble and codes, provides the agile and robust service in the fiber-optics network.

Peng Guo – 3rd expert on this subject based on the ideXlab platform

  • Enhancing ZigBee throughput under WiFi interference using real-time Adaptive Coding
    Proceedings – IEEE INFOCOM, 2014
    Co-Authors: Peng Guo, Jiannong Cao, Kui Zhang, Xuefeng Liu

    Abstract:

    Co-existing in the unlicensed ISM band, ZigBee transmissions can be significantly interfered by WiFi. Although several approaches recently are proposed to enable ZigBee transmission under WiFi interference, the ZigBee throughput still decreases to zero when WiFi throughput (generated by D-ITG) is over 8Mbps. In this paper, we propose a real-time (<; 5ms) Adaptive transmission (RAT) scheme to efficiently adapt forward error-correction Coding (FEC) on ZigBee devices in dynamic WiFi environment. We find that sizes of WiFi frames well follow the power law distribution model. With the model, corruption in ZigBee packets can be estimated to some extent, thus facilitating ZigBee device to choose a suitable FEC Coding to maximize the throughput. Extensive experimental results show that, compared with existing works, RAT achieves significant performance improvement of ZigBee transmissions in WiFi environment with different traffic load. Particularly, the ZigBee throughput of RAT can be about 10kbps when the WiFi throughput is 8Mbps.