Dynamic point selection for LTE-advanced: Algorithms and performance

Agrawal, Rajeev; Bedekar, Anand; Gupta, Richa; Kalyanasundaram, Suresh; Kroener, Hans; Natarajan, Balamurali

doi:10.1109/wcnc.2014.6952393

Cited by 40 publications

(12 citation statements)

References 5 publications

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“…Several DPS mechanisms have been proposed previously in [7] and [8] without considering the traffic load condition of the cells. In [9]- [11], DPS mechanisms with cell load consideration were presented. However, the call load was estimated by the average value of the PF (Proportional Fairness) metrics and the current number of active UEs.…”

Section: Astesj Issn: 2415-6698mentioning

confidence: 99%

Actual Traffic Based Load-Aware Dynamic Point Selection for LTE-Advanced System

Nuanyai¹,

Chantaraskul²

2021

Adv. sci. technol. eng. syst. j.

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Coordinated MultiPoint (CoMP) has been introduced for LTE-Advanced system to overcome the inter-cell interference problems and enhance the signal quality of cell-edge UEs (User Equipments). With such concept, the overall system performance should be improved considerably to support the significantly increasing amount of demand on data transmission via mobile communication that happens nowadays. Dynamic Point Selection (DPS) is one of the major CoMP techniques offering benefit through its practicality and low complexity. This work proposes the actual traffic-based load-aware DPS for LTE-Advanced system. The key important cell selection criterion employed in this work is based on the actual traffic load of the calls along with the UEs received signal indicator. The adapted Vienna downlink system level simulator has been used for the system evaluation. The video streaming traffic model was employed with the data rate of 512 kbps for the realistic use cases and four simulation scenarios including the uniformly distributed UEs case and different patterns of hotspots distribution use cases were deployed. The system performance evaluation includes the system throughput performance, the number of UEs achieving expected data rate, and eNBs' traffic load. The results show that our proposed method offers a substantial improvement over the traditional system as well as the system embedded with the existing DPS mechanisms when the traffic loads are imbalanced such as in certain hotspot cases.

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Section: Astesj Issn: 2415-6698mentioning

confidence: 99%

Actual Traffic Based Load-Aware Dynamic Point Selection for LTE-Advanced System

Nuanyai¹,

Chantaraskul²

2021

Adv. sci. technol. eng. syst. j.

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“…• Fast dynamic selection of the best radio cell based on load and propagation conditions [19] • Coordinated muting/scheduling between different radio cells based on interference and load [20] • Adaptive uplink power control based on intercell interference [21] 5 Self-organising networks…”

Section: Dynamic Adaptation Of Abs Patternmentioning

confidence: 99%

Adaptive techniques in advanced 4G cellular wireless networks

Hätty

Dreßler

Kröner

et al. 2016

EURASIP J. Adv. Signal Process.

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The capacity of 4G cellular wireless networks like Long Term Evolution Advanced can be increased by larger bandwidth for multicarrier operation, higher number of antennas for more spatial multiplexing, tighter reuse of radio cells using the same frequency spectrum and optimisation of the network configuration in general. The potentially higher capacity will be achieved only if the whole wireless network can be more or less perfectly adapted to the existing real environment at any time. This real environment which includes for example the radio channel, the user traffic, the equipment performance and the network configuration can change, however, within a time scale of a wide range from below 1 ms up to more than 100 s. Appropriate linear or nonlinear adaptive techniques which are able to track these changes are described for wideband linear power amplifier, multiple input multiple output antenna systems, heterogeneous networks and self-organising networks including the corresponding realisation and performance aspects.

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“…However, because all possible resource allocation cases should be compared, the proposed algorithm has a very high complexity. In , a load‐aware DPS scheme was proposed, where resources are allocated according to UEs current channel and cell traffic conditions. The results showed that the proposed scheme not only improves the cell edge UEs throughput but it also significantly increases the overall cell throughput.…”

Section: Background and Related Workmentioning

confidence: 99%

Radio resource management for 5G mobile communication systems with massive antenna structure

Shah

Kim

Bae

et al. 2015

Trans. Emerging Tel. Tech.

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In order to accommodate for the emerging mobile data traffic, millimetre‐wave (mmWave) band in 30–300GHz range is being considered for the fifth generation (5G) mobile networks. This mmWave band can potentially fulfil the bandwidth requirement of the next generation mobile networks for the next few decades and beyond. In this article, we propose a novel resource allocation scheme for mmWave in 5G mobile networks. The concept of multi‐beam coordination is adopted to efficiently utilise the radio resource and improve the network performance in beam boundary regions. Moreover, because the mmWave signal has poor propagation characteristics, a massive antenna structure with beamforming is envisioned in this article. Our system‐level simulation results indicate that the proposed scheme improves the resource utilization and network performance, compared with those of Li's and conventional schemes. Copyright © 2015 John Wiley & Sons, Ltd.

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Dynamic point selection for LTE-advanced: Algorithms and performance

Cited by 40 publications

References 5 publications

Actual Traffic Based Load-Aware Dynamic Point Selection for LTE-Advanced System

Actual Traffic Based Load-Aware Dynamic Point Selection for LTE-Advanced System

Adaptive techniques in advanced 4G cellular wireless networks

Radio resource management for 5G mobile communication systems with massive antenna structure

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