A Power Control Mechanism Based on Priority Grouping for Small Cell Networks

Alexiou, Antonios; Billios, Dimitrios; Bouras, Christos

doi:10.1109/bwcca.2013.36

Cited by 7 publications

(2 citation statements)

References 10 publications

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“…A new algorithm to address the FCPM problem was also proposed by iteratively solving the PFT problem while intelligently updating the pricing coefficients. The efficient power control in small cell networks (SCNs) was also studied in [18]. In particular, the authors propose a power control mechanism for efficient power allocation in SCNs in order to control the system interference while guaranteeing user QoS.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficiency Using Cloud Management of LTE Networks Employing Fronthaul and Virtualized Baseband Processing Pool

Al‐Dulaimi

Al‐Rubaye²,

2019

IEEE Trans. Cloud Comput.

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The cloud radio access network (C-RAN) emerges as one of the future solutions to handle the ever-growing data traffic, which is beyond the physical resources of current mobile networks. The C-RAN decouples the traffic management operations from the radio access technologies, leading to a new combination of a virtualized network core and a fronthaul architecture. This new resource coordination provides the necessary network control to manage dense Long-Term Evolution (LTE) networks overlaid with femtocells. However, the energy expenditure poses a major challenge for a typical C-RAN that consists of extended virtualized processing units and dense fronthaul data interfaces. In response to the power efficiency requirements and dynamic changes in traffic, this paper proposes C-RAN solutions and algorithms that compute the optimal backup topology and network mapping solution while denying interfacing requests from low-flow or inactive femtocells. A graph-coloring scheme is developed to label new formulated fronthaul clusters of femtocells using power as the performance metric. Additional power savings are obtained through efficient allocations of the virtualized baseband units (BBUs) subject to the arrival rate of active fronthaul interfacing requests. Moreover, the proposed solutions are used to reduce power consumption for virtualized LTE networks operating in the Wi-Fi spectrum band. The virtualized network core use the traffic load variations to determine those femtocells who are unable to transmit to switch them off for additional power savings. The simulation results demonstrate an efficient performance of the given solutions in large-scale network models.

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Section: Related Workmentioning

confidence: 99%

Energy Efficiency Using Cloud Management of LTE Networks Employing Fronthaul and Virtualized Baseband Processing Pool

Al‐Dulaimi

Al‐Rubaye²,

2019

IEEE Trans. Cloud Comput.

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“…On the other hand, in [8][9] proposed the power control technique by avoiding small cells (Femtocell) to transmit more power than the users. The proposed technique improved in throughput, Packet Loss Ratio (PLR) and SINR.…”

Section: Introductionmentioning

confidence: 99%

Interference management using direct sequence spread spectrum (DSSS) technique in LTE-Wi-Fi network

Azhar¹,

Yusof²,

Zainali³

et al. 2018

J. Fundam and Appl Sci.

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In this paper, an enhance DSSS technique was proposed which considers both serving and its neighbouring base stations in the network. N radius fraction coefficient (b) were applied in DSSS technique in order to improve the SINR value. First, SINR MUE and SINR WUE for the standard DSSS were simulated. Then, by using the obtained analysis, the enhance DSSS technique was proposed. As the results, the SINR at MUE using a-coefficient gives better SINR than standard around 4%~5% improvement. On the other hand, the SINR at WUE using SINR than standard around 9%~10% improvement. Other than that, by applying both a-coefficient and b-coefficient into the proposed DSSS based on modified interference power, the improvement for SINR MUE increases to 11% spikes to 74%~84%.

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