cs 19(16): e4

Research Article

Joint optimization for broadcast service rendering and call connectivity for dual stack mobile devices

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  • @ARTICLE{10.4108/eai.5-11-2019.162594,
        author={Krishna Daamini E and Rohan Raj and Vinay Kumar Shrivastava and Lalit Pathak},
        title={Joint optimization for broadcast service rendering and call connectivity for dual stack mobile devices},
        journal={EAI Endorsed Transactions on Cloud Systems},
        volume={5},
        number={16},
        publisher={EAI},
        journal_a={CS},
        year={2019},
        month={11},
        keywords={MBMS, DSDS, QoS, RFIC, SIM, PLR, LTE, Video},
        doi={10.4108/eai.5-11-2019.162594}
    }
    
  • Krishna Daamini E
    Rohan Raj
    Vinay Kumar Shrivastava
    Lalit Pathak
    Year: 2019
    Joint optimization for broadcast service rendering and call connectivity for dual stack mobile devices
    CS
    EAI
    DOI: 10.4108/eai.5-11-2019.162594
Krishna Daamini E1,*, Rohan Raj1, Vinay Kumar Shrivastava1, Lalit Pathak1
  • 1: Samsung Semiconductor India R&D Center, Samsung Electronics, Bangalore, India
*Contact email: krishna.de@samsung.com

Abstract

INTRODUCTION: Multimedia Broadcast Multicast Service (MBMS) primarily targets broadcasting mobile television contents and video streaming services. Consumers worldwide are rapidly using Dual SIM Dual Standby (DSDS) device that utilizes a single common Radio Frequency Integrated Circuit (RFIC) for supporting more than one Subscriber Identity Module (SIM) cards. These two popular feature requirements are quite contrasting and pose a significant challenge to the design and implementation of User Equipment (UE) to achieve lossless MBMS video performance and Call connectivity Key Performance Indexes (KPIs).

OBJECTIVE: This paper targets a cross-layer optimization merging the application-domain quality metrics to the modem level realization of the DSDS scheduler algorithm and enhances the performance.

METHOD: The knowledge about the video quality metrics is used to design inputs to the modem scheduler and derive the packet loss thresholds that would be bearable to sustain the desired video quality.

RESULTS: Simulation model is prepared based on configurations which are taken from real field values used in commercial network operations. Different configurations of the jitter buffer sizes are defined along with watermarks level to determine the buffer status and corresponding set of actions in terms of DSDS scheduler operation adaptation as a feedback. Based on experimentation, with buffer window of 50ms and 10 % FEC redundancy configuration, optimum performance is determined when RFIC throttling with 25% RFIC rejection for paging occasions is applied. No adverse impact is seen on paging while packet loss performance is optimized.

CONCLUSION: Performance of MBMS operation on DSDS device is considered in this paper. Proposed algorithm provides the guidelines for designing the RFIC scheduler for DSDS operation to achieve robust and enhanced MBMS video performance along with maintaining call connectivity KPIs.