Power-aware QoS-centric strategy for ultra reliable low latency communication in 5G beyond wireless networks

被引:1
|
作者
Papachary, Biroju [1 ]
Arya, Rajeev [1 ]
Dappuri, Bhasker [2 ]
机构
[1] Natl Inst Technol Patna, Dept Elect & Commun Engn, Wireless Sensor Networks Lab, Patna 800005, Bihar, India
[2] CMR Engn Coll, Dept Elect & Commun Engn, Hyderabad 501401, Telangana, India
关键词
5G and beyond; Device-to-Device Communication; Ultra-Reliable Low Latency Communication (URLLC); Power-Aware QoS-centric Preemptive Dropping; Resource allocation; Industrial Internet of Things (IIoT); RESOURCE-ALLOCATION; URLLC; EMBB;
D O I
10.1007/s10586-024-04336-3
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Ultra-Reliable Low Latency Communication (URLLC) is mostly used for core services in the fifth generation (5G) and beyond cellular networks. Due to the conflicting demands of low latency and extremely high reliability, the ongoing research on this subject remains in its nascent phase. The utilization of Device-to-Device (D2D) communication shows great potential in facilitating URLLC. The implementation of URLLC and its Quality of Service (QoS) requirements may encounter high power consumption in dynamic wireless channels, potentially conflicting with the system's power limitations. In this paper, a packet delivery mechanism is introduced, aiming to achieve energy efficiency by incorporating a Power-Aware QoS-centric Preemptive Dropping mechanism to minimize latency while ensuring the successful transmission of URLLC data. The method aims to optimize bandwidth and channel assignment to effectively reduce overall power consumption. The optimization problem is formulated which is non-convex, posing challenges in selecting an optimal solution. To address this problem, we have undertaken the task of transforming the original problem into two subproblems: bandwidth allocation and subchannel assignment. To achieve optimal resource allocation for the formulated problem, we propose the Optimal Bandwidth Allocation (OBA) and Optimal Sub-channel Assignment (OSA) algorithms. The simulation results validate the proposed method outperforms the benchmark schemes, demonstrating higher energy efficiency ranging from 6.96 to 31.6%, as well as a reduction in latency ranging from 5.7 to 25.67%. The proposed method exhibits broad applicability in various domains, including remote healthcare and Industrial Internet of Things (IIoT) applications.
引用
收藏
页码:7455 / 7468
页数:14
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