Power Efficient Dynamic Resource Scheduling Algorithms for LTE

Long-Term Evolution (LTE) is a recently evolving technology characterized by very high speed data rate that allows users to access internet through their mobile as well as through other electronic devices.Â Such technology is intended to support variety of IP-based heterogeneous traffic types. Traffic scheduling plays an important role in LTE technology by assigning the shared resources among users in the most efficient manner. This paper discusses the performance of three types of scheduling algorithms namely: Round Robin, best Channel Quality Indicator (CQI) and Proportional Fair (PF) schedulers representing the extreme cases in scheduling. The scheduling algorithms performances on the downlink were measured in terms of throughput and block error rate using a MATLAB-based system level simulation. Results indicate that the best CQI algorithm outperforms other algorithms in terms of throughput levels but on the expense of fairness to other users suffering from bad channel conditions. ABSTRAK: Teknologi baru Evolusi Jangka Panjang (LTE) sentiasa berubah dan ia bercirikan kelajuan kadar data sangat tinggi yang membolehkan pengguna mengakses internet melalui telefon bimbit dan peranti elektronik lain. Teknologi seperti ini bertujuan menyokong pelbagai jenis trafik heterogen berasaskan IP. Penjadualan trafik memainkan peranan penting dalam teknologi LTE bagi mengagihkan sumber perkongsian secara paling berkesan di kalangan pengguna. Kertas ini membincangkan prestasi tiga jenis algoritma penjadualan iaitu: pusingan Robin, penunjuk kualiti saluran (CQI) terbaik danÂ penjadualan berkadar adil (PF) yang merupakan kes ekstrem dalam penjadualan. Prestasi penjadualan Algoritma di pautan turun diukur dari segi daya pemprosesan dan kadar ralat blok melalui simulasiÂ sistem menggunakan MATLAB. Hasil kajian menunjukkan algoritma CQI adalah yang terbaik berbanding hasil algoritma lain dari segi tahap daya pemprosesan tetapi algoritma ini menyebabkan pengguna lain mengalami keadaan saluran buruk.KEYWORDS: LTE; round robin; best CQI; proportional fair; scheduling; resource blocks

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“…This algorithm continues in the same manner [5]. In TFDRR multiple users are allowed to be scheduled within one TTI in a cyclic order [8,9].…”

Section: Round Robin (Rr) Scheduling Algorithmsmentioning

confidence: 99%

Comparison between Scheduling Techniques in Long Term Evolution

Habaebi¹,

Chebil²,

Al-Sakkaf³

et al. 2013

IIUMEJ

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“…The paper presents a link level analysis of the rate and EE performance of the LTE downlink considering the unitary codebook‐based precoding scheme. The authors consider a multi‐user environment to improve the performance gain by exploiting multi‐user diversity in the time, frequency and space domains and translating the gains to an energy reduction at the BS.…”

Section: Related Workmentioning

confidence: 99%

Energy efficiency of downlink packet scheduling in CoMP

Huq

Mumtaz

Saghezchi

et al. 2013

Trans. Emerging Tel. Tech.

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The foreseen increase in the volume of mobile traffic and the correspondent increase in greenhouse gas emissions is now placing energy efficiency (EE) at the forefront of mobile network design. As a step towards incorporating more energy friendly mobile platforms in future networks, Third Generation Partnership Project Long‐Term Evolution (LTE)‐Advanced has adopted Coordinated Multi‐Point (CoMP) transmission/reception because of its ability to mitigate and/or coordinate inter‐cell interference. However, there is room for reducing energy consumption further by exploiting the inherent flexibility of dynamic resource allocation protocols. To this end packet scheduling schemes play a fundamental role in multi‐user scenarios and provide a potential research playground for optimising energy consumption in future networks. However, there is no effective benchmark in place for experimenting new design approaches. This paper provides a first attempt to analyse the Energy Efficiency of different downlink packet scheduling in CoMP for LTE networks using classical packet scheduling algorithm approaches such as Maximum Carrier to Interference ratio (MCI), Proportional Fairness (PF) and the Round Robin scheduling (RR), and provides some input to future comparison considerations. Copyright © 2013 John Wiley & Sons, Ltd.

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“…A study about minimal transmission power for uplink systems of LTE is done in [9] . In contrast, an efficient scheduling is proposed to reduce the energy consumption of the base station in [10]. Both approaches make use of a special scheduling to save energy, which is similar in the implementation to our approach.…”

Section: Current State Of the Artmentioning

confidence: 99%

Dynamic HTTP download scheduling with respect to energy consumption

Blenk¹,

Kellerer²,

Wamser

et al. 2013

2013 24th Tyrrhenian International Workshop on Digital Communications - Green ICT (TIWDC)

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Mobile devices, in particular smartphones, are battery powered. As their small size limits their energy capacity, an intelligent and energy-saving use of resources is crucial for the mobile user experience. Especially energy saving while sending and receiving data becomes important due to the alwayson nature of smartphones. One solution for a sophisticated resource usage in wireless access networks is to tailor resource management to applications. The advantage of such mechanisms is to be able to address both the perceived quality of the users and the energy consumption of mobile devices at the same time. We propose several traffic scheduling algorithms for HTTP file download in wireless networks based on this application-aware paradigm. The core idea is to use download scheduling that avoids parallel transmissions and, in contrast, favors sequential transmission. We have implemented and measured the algorithms in a wireless mesh network. The evaluation results quantify the gain of an application-aware resource management with respect to quality of experience and energy consumption.

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Power Efficient Dynamic Resource Scheduling Algorithms for LTE

Cited by 24 publications

References 11 publications

Comparison between Scheduling Techniques in Long Term Evolution

Comparison between Scheduling Techniques in Long Term Evolution

Energy efficiency of downlink packet scheduling in CoMP

Dynamic HTTP download scheduling with respect to energy consumption

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