Interference Based Power Control Performance in LTE Uplink

Boussif, Malek; Quintero, N.; Calabrese, Francesco; Rosa, Claudio; Wigard, Jeroen

doi:10.1109/iswcs.2008.4726146

Cited by 48 publications

(24 citation statements)

References 1 publication

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“…The idea of classic OLPC schemes in the UL is that all UEs are received at the eNodeB with the same power spectral density, which is known as full PL compensation. In addition 3GPP introduced the socalled FPC [12][13], allowing users to operate at a lower receive signal level compared to that based on full PL compensation resulting in less interference generated to neighbouring cells [10].…”

Section: (1)mentioning

confidence: 99%

Enhancing uplink performance in UTRAN LTE networks by load adaptive power control

Mullner

Ball

Boussif

et al. 2010

Trans Emerging Tel Tech

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SUMMARYUplink power control in 3GPP UTRAN long term evolution (LTE) networks consists of a closed-loop scheme around an open-loop point of operation. The uplink performance of the network is decisively influenced by power control. This paper provides insight into the uplink power control procedure and its interworking with adaptive transmission bandwidth (ATB) as well as adaptive modulation and coding (AMC). A detailed performance evaluation is presented based on system level simulations. In the first step, the performance of pure open-loop power control (OLPC) was analysed and the impact of parameter settings on resource allocation, utilisation of specific modulation and coding schemes (MCS), re-transmission rate, and resulting throughput was determined. A two-dimensional parameter optimisation for full path-loss (PL) compensation and fractional power control (FPC) was performed to conclude the best strategy for the trade-off between network capacity and coverage. In the second step, the impact of traffic load on the interaction between the different LTE radio resource management algorithms was analysed. A novel strategy is presented which introduces traffic load dependent decisions for the closed-loop power control (CLPC) component to optimise the uplink throughput. This solution provides an automatic configuration for LTE networks without further intervention by the operator.

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Section: (1)mentioning

confidence: 99%

Enhancing uplink performance in UTRAN LTE networks by load adaptive power control

Mullner

Ball

Boussif

et al. 2010

Trans Emerging Tel Tech

Self Cite

View full text Add to dashboard Cite

show abstract

“…8 shows the cumulative distribution function (CDF) plots of 5%-tile user throughput (coverage) and capacity. In literature, researchers have shown different optimal choices for various γ values such as 0.5, 0.6, 0.7, and 0.8 [21] [22] [8] [23]. In our case, we found the best coverage-capacity trade-off at γ=0.8 and taken it as a reference point for further investigation and comparisons.…”

Section: Network Protocols and Algorithmsmentioning

confidence: 55%

“…However, in FPC method, the assumption that interference towards other cells is mostly because of the cell-edge users is not always true. The generated ICI in [8] negated this assumption, where the interior users contributed to the aggregated ICI as well. Therefore, the transmit power should be controlled in order to reduce ICI rather than the path-gain.…”

Section: Rrm and Icic Related Workmentioning

confidence: 99%

“…However, the inefficient use of spectrum and the requirements for backhaul communication and location information are some of the drawbacks in this approach. The authors in [8] proposed an interference based power control scheme which targets to achieve a fixed level of interference at every cell by dynamically adjusting the target signal-to-interference-noise ratio (SINR). However, the approach fails to concurrently improve both capacity and coverage and it is also unclear how the interference target could be dynamically set based on the traffic statistics.…”

Section: Rrm and Icic Related Workmentioning

confidence: 99%

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Impact of Learning Algorithms on Random Neural Network based Optimization for LTE-UL Systems

Adeel

Larijani

Javed

et al. 2015

NPA

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This paper presents a context-aware decision making solution to the problem of radio resource management (RRM) and inter-cell interference coordination (ICIC) in long-term evolution-uplink (LTE-UL) system. The limitations of existing analytical, artificial intelligence (AI), and machine learning (ML) based approaches are highlighted and a novel integration of random neural network (RNN) based learning with genetic algorithm (GA) based reasoning is presented. Initially, three learning algorithms (gradient descent (GD), adaptive inertia weight particle swarm optimization (AIW-PSO), and differential evolution (DE)) are applied to RNN and two learning algorithms (GD and levenberg-marquardt (LM)) are applied to artificial neural network (ANN). In the second phase, the GA based reasoning is applied to the trained ANN and RNN models for performance optimization. Finally, the ANN and RNN based optimization results are compared with the state-of-the-art fractional power control (FPC) schemes in terms of user throughput and power consumption. The simulation results revealed that an RNN-DE based cognitive engine (CE) can provide up to 14% more cell capacity along with 6dBm and 9dBm less user power consumption as compared to RNN-GD and FPC methods respectively.

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“…In addition 3GPP has introduced the so-called FPC [12]- [13], allowing users to operate at a lower receive signal level compared to that based on full PL compensation resulting in less interference generated to neighboring cells [5].…”

Section: Ul Power Control Algorithmmentioning

confidence: 99%

Performance comparison between open-loop and closed-loop uplink power control in UTRAN LTE networks

Mullner

Ball

Ivanov

et al. 2009

Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wireless

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Uplink power control in 3GPP UTRAN Long Term Evolution networks supports an optional closed-loop component around an open-loop point of operation. In this study the performance difference between pure open-loop and combined open-and closed-loop power control has been evaluated using a full blown system level simulation model. The interworking between power control, adaptive transmission bandwidth, and adaptive modulation and coding has been thoroughly analyzed and the resulting performance differences depending on the users' locations within the cells are demonstrated by two-dimensional network plots. A deep inhomogeneous throughput distribution throughout the deployment area has been observed for pure openloop power control. Enabling the closed-loop component results in a more homogeneous performance albeit at lower mean throughput. Significant impact is given by the selected quality and level targets for the closed-loop component. The benefit of closed-loop power control is the higher homogeneity in terms of throughput across the entire cell area and its ability to adjust the transmission power according to the desired quality and level targets. Hence the network performance is stabilized in various cell environments.

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Interference Based Power Control Performance in LTE Uplink

Cited by 48 publications

References 1 publication

Enhancing uplink performance in UTRAN LTE networks by load adaptive power control

Enhancing uplink performance in UTRAN LTE networks by load adaptive power control

Impact of Learning Algorithms on Random Neural Network based Optimization for LTE-UL Systems

Performance comparison between open-loop and closed-loop uplink power control in UTRAN LTE networks

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