Reference : Foreseeing Semi-Persistent Scheduling in Mode-4 for 5G enhanced V2X communication
Scientific congresses, symposiums and conference proceedings : Poster
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/10993/47970
Foreseeing Semi-Persistent Scheduling in Mode-4 for 5G enhanced V2X communication
English
Jubba Honnaiah, Puneeth mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Maturo, Nicola mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
Chatzinotas, Symeon mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
2020
Yes
2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)
from 10-01-2020 to 13-01-2020
[en] Sidelink ; Semi-Persistent Scheduling ; V2X
[en] One of the most dominant applications of Ultra Reliable Low Latency Communication of 5G-NR is V2X communication. For such latency-critical V2X communication, the distributed resource allocation using Semi-Persistent Scheduling (SPS) algorithm designed for out-of-coverage (Mode-4) scenario leads to a high collision probability and requires profuse sensing processes. Therefore, a need for more efficient distributed resource allocation scheme is compelled. In this paper, we investigate the 3GPP proposed SPS scheduling algorithm for its performance and formulate the problem under partial sensing systems. Furthermore, we propose a Foreseeing Semi-Persistent Scheduling (F-SPS) algorithm as an enhancement to the existing methodology, and conclusively, simulations are presented to illustrate the improved performance of the proposed F-SPS scheme in terms of reduced collision probability with an optimised number of sensing processes.
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/47970
10.1109/CCNC46108.2020.9045276
https://ieeexplore.ieee.org/document/9045276/
FnR ; FNR14147087 > Puneeth Jubba Honnaiah > REGAL > Resource Allocation And Interference Mitigation For Demand Based Capacity Adaptability In Satellite Communication System. > 01/10/2019 > 15/01/2023 > 2019

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