Resource allocation for URLLC and eMBB traffic in uplink wireless networks

IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Duan-Shin Lee , Cheng-Shang Chang , Ruhui Zhang , Mao-Pin Lee
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引用次数: 0

Abstract

In this paper we consider two resource allocation problems of URLLC traffic and eMBB traffic in uplink 5G networks. We propose to divide frequencies into a common region and a grant-based region. Frequencies in the grant-based region can only be used by eMBB traffic, while frequencies in the common region can be used by eMBB traffic as well as URLLC traffic. In the first resource allocation problem we propose a two-player game to address the size of the grant-based region and the size of the common region. We show that this game has specific pure Nash equilibria. In the second resource allocation problem we determine the number of bits that each eMBB user can transmit in a request-grant cycle. We propose a constrained optimization problem to minimize the variance of the number of bits granted to the eMBB users. We show that a water-filling algorithm solves this constrained optimization problem. From simulation, we show that our scheme, consisting of resource allocation according to Nash equilibria of a game, persistent random transmission of URLLC packets and allocation of eMBB packets by a water-filling algorithm, works better than four other heuristic methods.

无线上行网络中URLLC和eMBB业务的资源分配
在本文中,我们考虑了上行链路5G网络中URLLC流量和eMBB流量的两个资源分配问题。我们建议将频率划分为一个共同区域和一个基于拨款的区域。基于授权的区域中的频率只能由eMBB流量使用,而公共区域中的频谱可以由eMBB以及URLLC流量使用。在第一个资源分配问题中,我们提出了一个两人博弈来解决基于授权的区域的大小和公共区域的大小。我们证明了此对策具有特定的纯纳什均衡。在第二个资源分配问题中,我们确定每个eMBB用户在请求授权周期中可以发送的比特数。我们提出了一个约束优化问题,以最小化授予eMBB用户的比特数的方差。我们证明了注水算法解决了这个约束优化问题。通过仿真,我们表明,我们的方案,包括根据博弈的纳什均衡进行资源分配,URLLC分组的持久随机传输和eMBB分组的注水算法分配,比其他四种启发式方法效果更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Performance Evaluation
Performance Evaluation 工程技术-计算机:理论方法
CiteScore
3.10
自引率
0.00%
发文量
20
审稿时长
24 days
期刊介绍: Performance Evaluation functions as a leading journal in the area of modeling, measurement, and evaluation of performance aspects of computing and communication systems. As such, it aims to present a balanced and complete view of the entire Performance Evaluation profession. Hence, the journal is interested in papers that focus on one or more of the following dimensions: -Define new performance evaluation tools, including measurement and monitoring tools as well as modeling and analytic techniques -Provide new insights into the performance of computing and communication systems -Introduce new application areas where performance evaluation tools can play an important role and creative new uses for performance evaluation tools. More specifically, common application areas of interest include the performance of: -Resource allocation and control methods and algorithms (e.g. routing and flow control in networks, bandwidth allocation, processor scheduling, memory management) -System architecture, design and implementation -Cognitive radio -VANETs -Social networks and media -Energy efficient ICT -Energy harvesting -Data centers -Data centric networks -System reliability -System tuning and capacity planning -Wireless and sensor networks -Autonomic and self-organizing systems -Embedded systems -Network science
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