Analysis of adjustable and fixed DRX mechanism for power saving in LTE/LTE-Advanced

Fowler, Scott; Bhamber, Ranjeet S.; Mellouk, Abdelhamid

doi:10.1109/icc.2012.6363708

Cited by 55 publications

(32 citation statements)

References 14 publications

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“…In the same way, in [16], the analytical model is used to study the influence of fixed and adjustable DRX cycle mechanism in LTE network, using the bursty packet data traffic with the help of semi Markov process. However, these proposed methods [35], [21], and [16], do not consider the QoS features such as fair resources allocation, packet loss rate and throughput, which are badly effected with the DRX mechanism in LTE networks.…”

Section: B Drx Power Saving Methodsmentioning

confidence: 99%

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QoE Power-Efficient Multimedia Delivery Method for LTE-A

Mellouk

Augustin

Fowler

2016

IEEE Systems Journal

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Abstract-The fastest growing of multimedia services over future wireless communication system demand more network resources, efficient delivery of multimedia service with high users satisfaction, and power optimization of User Equipments (UEs). The resources and power optimization are significant in future mobile computing systems, because emerging multimedia services consume more resources and power. The 4G standard of LTE-A wireless system has adopted the Discontinuous Reception (DRX) method to extend and optimize the UE battery life, while there is no standard scheduling method to distribute the radio resources among the UE. This paper presents a downlink scheduler, i.e. Quality of Experience (QoE) Power Efficient Method (QEPEM) for LTE-A, which efficiently allocates the radio resources and optimizes the use of UE power using the DRX mechanism. We investigates how the different duration of DRX Light and Deep Sleep cycle influences the QoS and QoE of end users, using VoIP over the LTE-A. The QEPEM is evaluated with the traditional methods, in terms of System Throughput, Fairness Index, Packet Loss Rate, and Packet Delay. The QEPEM measures the user's QoE, and feedback to eNodeB for scheduling decisions along with other important parameters. Our proposed method reduces the packet delay, packet loss, and increases the fairness and UE's power saving with high users satisfaction.

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Section: B Drx Power Saving Methodsmentioning

confidence: 99%

“…Inactivity for UE wakeup and DRX cycle for sleep. The main difference between LTE and early DRX method is that the UE can switch to the sleep state even if the traffic buffer is not empty [16]. In LTE; the DRX states (e.g.…”

Section: Introductionmentioning

confidence: 99%

QoE Power-Efficient Multimedia Delivery Method for LTE-A

Mellouk

Augustin

Fowler

2016

IEEE Systems Journal

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“…The time spent in the state is thereby geometrically distributed. ETSI and Semi-Markov background [3] Simplified Semi-Markov bounded-Pareto [4] Poisson Semi-Markov [5] Poisson Semi-Markov [6] Poisson Semi-Markov [7] ETSI traffic model Semi-Markov [8] ETSI traffic model Semi-Markov [9] Poisson Semi-Markov…”

Section: Lte/lte-a Drx "Complete" Markovian Model a Preliminariesmentioning

confidence: 99%

“…Following on this work a number of papers, amongst them [2]- [8] has been published with similar approaches using at least 3 state semi-Markov models with different types of traffic models. Out of these [4] uses the lowest resolution of the DRX mechanism representation for its model states, and this is down to the level of ON duration and sleep cycles.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of LTE/LTE-A DRX: A Markovian Approach

Ramazanali

Vinel

2016

IEEE Internet Things J.

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Abstract-LTE/LTE-A are emerging communication technologies on the way towards 5G telecommunication systems. Ubiquitous adoption of connectivity in between different kinds of sensors, wearable devices and other low-power equipment raises an importance of the energy-efficient wireless communications. In LTE/LTE-A the Discontinuous Reception Mechanism (DRX) aims at power saving of User Equipment (UE) devices. In the paper we present an analysis of DRX, which is novel in two dimensions. First, our analytical approach is different to existing ones due to the use of Markov chain instead of the semi-Markov ones. Secondly, along with the generic traffic models we also analyze the efficiency of DRX for military training application systems, what has not been done before. We suggest few practical recommendations regarding the DRX parameters tuning also.

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“…Power control is vital in achieving efficient energy usage and interference coordination in wireless networks [14]. Using to much power entails unnecessary levels of battery drain and interference to all other devices occupying the same signaling resources elsewhere in addition to the eNodeB [15], [16].…”

Section: Introductionmentioning

confidence: 99%

Simple network design and power allocation for 5G device-to-device communication

Fowler

Pollastro³

et al. 2014

2014 IEEE 19th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)

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Abstract-The tremendous popularity of smart phones and electronic tablets has spurred the explosive growth of high-rate multimedia wireless services. To alleviate the huge infrastructure investment in the exponential growth of mobile traffic and improve local service flexibility, device-to-device (D2D) communications have been considered for the next generation mobile telecommunications. This has triggered investigation of fifth gernation (5G) to utilizes D2D communications for hetergenous networks. D2D communications enable users to transmit signals directly without going through the base station. However, many technical challenges need to be addressed for D2D communications to harvest the potential benefits. This requires learning how to improve the the model to better appeal to a wider base and move toward additional solutions. In this paper we provided a simple overview of D2D communications 5G hetergenous network by means of various Integer Linear programming. Finally, we present experiments on how Fractional knapsack using greedy algorithm can be used for power efficiency and improve throughput, thus allowing of future optimization problems.

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Analysis of adjustable and fixed DRX mechanism for power saving in LTE/LTE-Advanced

Cited by 55 publications

References 14 publications

QoE Power-Efficient Multimedia Delivery Method for LTE-A

QoE Power-Efficient Multimedia Delivery Method for LTE-A

Performance Evaluation of LTE/LTE-A DRX: A Markovian Approach

Simple network design and power allocation for 5G device-to-device communication

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