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<p>5G communication is now getting deployed everywhere including remote unreachable areas. Extending or relaying 5G signal is a challenging task which can be efficiently realized using 5G IAB technology and mmWave small cells. 5G URLLC can be realized utilizing IAB which can help reduce network latency by minimizing the number of hops between the base station and the core network. This paper presents realization of 5G IAB with RedCap, URLLC and NB-IoT Slices thus establishing a reliable communication link using 5G IAB between Kakdwip (main land) and GangaSagar Island in the coastal region of Bay of Bengal by under Constrained Environment where the communication channel is heavily disturbed by the multipath reflected rays from the sea water. Authors are able to realize the Proof of Concept (POC) with high reliability and low latency features of the said technology in GangaSagar Island utilizing both hardware and software platform and a use case is being developed for Agricultural Technology purposes using Smart Tractor for V2I implementation to help the farmers in the island for better yield of the crops. The channel sounding experiments over the sea channel are conducted following frequency diversity technique by utilizing 11.5/12.5&#xa0;GHz radio signals for reliability achievement. Further, this study on the same issue regarding the maritime channel propagation experiment and the compensation of the propagation impairment of the 5G SEA-SMIT channel is carried out by leveraging one most efficient Neural Network technique i.e. TransNet (Transformational Neural Network) in which either 11.5&#xa0;GHz or 12.5&#xa0;GHz radio signal can be used to achieve the maximum reliability. In our contribution, Vo5G voice is tested over the AI enabled 12.5&#xa0;GHz model for compensation of 5G SEA-SMIT channel impairments and compared with a commercial model cell operating at 3.5&#xa0;GHz. The distortion noticed at 3.5&#xa0;GHz is completely eliminated with the use of 12.5&#xa0;GHz model. O-RAN based hardware realization of the above simulated model is in progress.</p>

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5G URLLC test bed design and smart tractor V2I implementation at GangaSagar Island exploring 5G new radio and AI

  • 期刊论文

  • 发表日期：

    2025年12月3日

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  • Jayanta Kumar Ray,
  • Bikash Sharma,
  • Soumen Khatua,
  • Ardhendu Shekhar Biswas,
  • Rabindranath Bera,
  • Quazi Mohmmad Alfred,
  • Sanjib Sil

摘要

5G communication is now getting deployed everywhere including remote unreachable areas. Extending or relaying 5G signal is a challenging task which can be efficiently realized using 5G IAB technology and mmWave small cells. 5G URLLC can be realized utilizing IAB which can help reduce network latency by minimizing the number of hops between the base station and the core network. This paper presents realization of 5G IAB with RedCap, URLLC and NB-IoT Slices thus establishing a reliable communication link using 5G IAB between Kakdwip (main land) and GangaSagar Island in the coastal region of Bay of Bengal by under Constrained Environment where the communication channel is heavily disturbed by the multipath reflected rays from the sea water. Authors are able to realize the Proof of Concept (POC) with high reliability and low latency features of the said technology in GangaSagar Island utilizing both hardware and software platform and a use case is being developed for Agricultural Technology purposes using Smart Tractor for V2I implementation to help the farmers in the island for better yield of the crops. The channel sounding experiments over the sea channel are conducted following frequency diversity technique by utilizing 11.5/12.5 GHz radio signals for reliability achievement. Further, this study on the same issue regarding the maritime channel propagation experiment and the compensation of the propagation impairment of the 5G SEA-SMIT channel is carried out by leveraging one most efficient Neural Network technique i.e. TransNet (Transformational Neural Network) in which either 11.5 GHz or 12.5 GHz radio signal can be used to achieve the maximum reliability. In our contribution, Vo5G voice is tested over the AI enabled 12.5 GHz model for compensation of 5G SEA-SMIT channel impairments and compared with a commercial model cell operating at 3.5 GHz. The distortion noticed at 3.5 GHz is completely eliminated with the use of 12.5 GHz model. O-RAN based hardware realization of the above simulated model is in progress.