Comparative performance analysis of different resource scheduler and characterising the impact of proportional fair under different TTI feedback delay in EUTRA network

Q4 Business, Management and Accounting

International Journal of Mobile Network Design and Innovation Pub Date : 2017-01-01 DOI:10.1504/IJMNDI.2017.10010153

Ankit Saxena, R. Sindal

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引用次数: 7

Abstract

Evolved UMTS terrestrial radio access network (EUTRAN) offers high uplink and downlink throughput. In this paper, we investigate the performance of five different schedulers of media access control for resource allocation, such as round robin (RB), proportional fair (PF), best channel quality indicator (CQI), max transmission point (TP) and resource fair (RF). On comparing the performance of resource allocation schedulers in the indistinguishable arrangement, we found the proportional fair (PF) offers balance in terms of individual metrics. Furthermore, we analyse the effect of feedback transmission time interval (TTI) delay on two typical EUTRAN networks referred to as long term evolution (LTE) and LTE-Advance (LTE-A). We evaluate the performance of the PF scheduler for both networks under varying feedback delay in TTI. Simulated results show that the delay in TTI affects the performance of resource allocation. Feedback delay improves network performance by compensating effect of imperfect channel.

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EUTRA网络中不同资源调度程序的性能对比分析及比例公平在不同TTI反馈延迟下的影响特征

演进的UMTS地面无线电接入网(EUTRAN)提供高上行和下行链路吞吐量。本文研究了五种不同的媒体访问控制调度器在资源分配方面的性能，如轮循(RB)、比例公平(PF)、最佳信道质量指标(CQI)、最大传输点(TP)和资源公平(RF)。在比较不可区分安排下资源分配调度器的性能时，我们发现比例公平(PF)在单个指标方面提供了平衡。此外，我们分析了反馈传输时间间隔(TTI)延迟对两种典型EUTRAN网络的影响，即长期演进(LTE)和LTE- advance (LTE- a)。我们评估了在TTI中不同反馈延迟下两种网络的PF调度器的性能。仿真结果表明，TTI中的延迟影响了资源分配的性能。反馈延迟通过补偿不完善信道的效应来提高网络性能。

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

International Journal of Mobile Network Design and Innovation Business, Management and Accounting-Management Information Systems

CiteScore

0.30

自引率

0.00%

发文量

期刊介绍： The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.