Ultra reliable low latency communication (URLLC) and Enhanced mobile broadband (eMBB) are two essential services in fifth generation (5G) and beyond networks. The coexistence of high data rate requirements of eMBB and latency specification of URLLC services can pose challenges when it comes to allocating resources. In this paper, we present a dedicated spectrum-sharing strategy that aims to address the issue of providing both services simultaneously in Device-to-Device (D2D) underlay cellular networks. The proposed method will allocate resources for enhanced eMBB services on a per-slot basis while handling the URLLC traffic through mini-slots. The dual decomposition technique and weight-based scheduling method are implemented for eMBB and URLLC nodes to efficiently manage the spectrum. The coexistence of these services can pose a challenge when it comes to the allocation of resources. We propose a dedicated resource allocation strategy to address the problem of simultaneously providing the high data rate requirements of eMBB and the latency specification of URLLC services in Device-to-Device (D2D) underlay cellular networks. The proposed method outperformed the baseline techniques in terms of eMBB rates and throughput.

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Dual Time Scale Resource Allocation Strategy for Coexisting eMBB and URLLC Services in D2D Underlay Cellular Network

  • Biroju Papachary,
  • Sadhvi Parashar,
  • Rajeev Arya,
  • Bhasker Dappuri

摘要

Ultra reliable low latency communication (URLLC) and Enhanced mobile broadband (eMBB) are two essential services in fifth generation (5G) and beyond networks. The coexistence of high data rate requirements of eMBB and latency specification of URLLC services can pose challenges when it comes to allocating resources. In this paper, we present a dedicated spectrum-sharing strategy that aims to address the issue of providing both services simultaneously in Device-to-Device (D2D) underlay cellular networks. The proposed method will allocate resources for enhanced eMBB services on a per-slot basis while handling the URLLC traffic through mini-slots. The dual decomposition technique and weight-based scheduling method are implemented for eMBB and URLLC nodes to efficiently manage the spectrum. The coexistence of these services can pose a challenge when it comes to the allocation of resources. We propose a dedicated resource allocation strategy to address the problem of simultaneously providing the high data rate requirements of eMBB and the latency specification of URLLC services in Device-to-Device (D2D) underlay cellular networks. The proposed method outperformed the baseline techniques in terms of eMBB rates and throughput.