Enhancing energy efficiency in Long Term Evolution-Advanced networks: Analyzing latency through Connected mode Discontinuous Reception with Markov modeling
IF 4.8 3区 计算机科学Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
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引用次数: 0
Abstract
Long Term Evolution, particularly Long Term Evolution-Advanced, has revolutionized mobile communication by delivering high-bandwidth connectivity for data-intensive applications. To meet the growing demand for high-speed data transmission in the rapidly expanding global mobile communication industry, Long Term Evolution-Advanced has emerged as the standard for 5G networks. However, energy consumption and latency remain critical challenges in wireless network communications. Discontinuous Reception, specifically Connected mode Discontinuous Reception, has been implemented to optimize the energy consumption of User Equipment while maintaining network performance. This paper analyzes the average latency of the Discontinuous Reception mechanism using both Markov and recursive models. Analytical modeling is employed to validate simulation results, incorporating various Discontinuous Reception parameters. The study demonstrates that the proposed Discontinuous Reception system, with adaptive settings based on a logic controller, enhances energy conservation performance by learning from past delay times and packet arrival rates. The simulation results highlight the improved efficacy of the Discontinuous Reception system in terms of latency and energy efficiency, offering valuable insights into the evolving landscape of wireless communication networks.
Long Term Evolution,特别是Long Term Evolution- advanced,通过为数据密集型应用提供高带宽连接,彻底改变了移动通信。为了满足快速发展的全球移动通信行业对高速数据传输日益增长的需求,长期演进-先进(Long Term Evolution-Advanced)已成为5G网络的标准。然而,能量消耗和延迟仍然是无线网络通信的关键挑战。为了在保持网络性能的同时优化用户设备的能耗,实现了不连续接收,特别是连接模式的不连续接收。本文分别用马尔可夫模型和递归模型分析了不连续接收机制的平均延迟。采用分析建模方法,结合各种间断接收参数对仿真结果进行验证。研究表明,基于逻辑控制器的自适应设置的不连续接收系统通过学习过去的延迟时间和数据包到达率来提高节能性能。仿真结果突出了不连续接收系统在延迟和能源效率方面的改进效率,为无线通信网络的发展前景提供了有价值的见解。
期刊介绍:
The Ad Hoc Networks is an international and archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in ad hoc and sensor networking areas. The Ad Hoc Networks considers original, high quality and unpublished contributions addressing all aspects of ad hoc and sensor networks. Specific areas of interest include, but are not limited to:
Mobile and Wireless Ad Hoc Networks
Sensor Networks
Wireless Local and Personal Area Networks
Home Networks
Ad Hoc Networks of Autonomous Intelligent Systems
Novel Architectures for Ad Hoc and Sensor Networks
Self-organizing Network Architectures and Protocols
Transport Layer Protocols
Routing protocols (unicast, multicast, geocast, etc.)
Media Access Control Techniques
Error Control Schemes
Power-Aware, Low-Power and Energy-Efficient Designs
Synchronization and Scheduling Issues
Mobility Management
Mobility-Tolerant Communication Protocols
Location Tracking and Location-based Services
Resource and Information Management
Security and Fault-Tolerance Issues
Hardware and Software Platforms, Systems, and Testbeds
Experimental and Prototype Results
Quality-of-Service Issues
Cross-Layer Interactions
Scalability Issues
Performance Analysis and Simulation of Protocols.