Effectiveness of cell outage compensation in LTE networks

Amirijoo, Mehdi; Jorguseski, L.; Litjens, Remco; Nascimento, Rilter

doi:10.1109/ccnc.2011.5766560

Cited by 50 publications

(38 citation statements)

References 3 publications

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“…Then, the selected neighboring cells that are suffering from the fault are discarded from the compensating neighboring list. Thus, the faulty site is composed of cells 10, 11, and 12 and the definitive list of neighboring cells are 2, 3,8,9,13,15,28, and 29. The following step of the algorithm is to select the algorithm settings.…”

Section: Several Faulty Cells Simultaneouslymentioning

confidence: 99%

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Fault compensation algorithm based on handover margins in LTE networks

de-la-Bandera

Barco

Muñoz

et al. 2016

J Wireless Com Network

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In the context of Self-Organizing Networks (SON), this paper presents a novel cell degradation compensation algorithm based on handover margin modifications. The fault considered in this paper is a weak coverage use case so that the faulty cell will be active during the compensation, but its power will be abnormally lower than it should. Unlike the extensively studied cell outage use case, in this case, the modification of the faulty cell's parameters can be considered as part of the compensation algorithm. In particular, this paper proposes to modify the handover margins for cell degradation compensation. To analyze the proposed algorithm, a set of simulations has been carried out using an LTE simulator with a realistic scenario. Results show that the proposed algorithm is able to improve the degradation caused by the fault with a low effect in the neighboring cells under different conditions.

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Section: Several Faulty Cells Simultaneouslymentioning

confidence: 99%

“…In [8], Amirijoo et al present different versions of a COC algorithm and analyze their effectiveness in different scenarios. Each version of the algorithm carries out the compensation by modifying different network parameters.…”

Section: Introductionmentioning

confidence: 99%

Fault compensation algorithm based on handover margins in LTE networks

de-la-Bandera

Barco

Muñoz

et al. 2016

J Wireless Com Network

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“…• Reward: The reward function is defined based on the signal to interference and noise ratio (SINR) of the UEs as follows: where the threshold is set in order to support the lowest modulation and coding scheme (MCS) [9] for long term evolution (LTE). In order to mitigate the inter-cell interference that the adjustment of the neighboring control/data BS power level may generate in the outage zone, frequency bandwidth B = {f 1 , .…”

Section: ) Ac-rl For Cocmentioning

confidence: 99%

“…Coluccia et al [17] analyzed the variations in the traffic profiles for 3G cellular systems to detect real world traffic anomalies. In terms of COC, the authors in [8], [9] investigated the effectiveness of control parameters such as the reference signal power, antenna tilt, scheduling parameters and the uplink target received power level in mitigating the effect of cell outage. In [10], the authors proposed an autonomic particle swarm compensation algorithm with fast convergence speed, which is a key requirement in COC.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, COC refers to the automatic mitigation of the degradation effect of the outage by appropriately adjusting suitable radio parameters, such as the pilot power, antenna tilt and azimuth of the surrounding cells. The degree of compensation is usually dictated by the operators policies, which also specify the level of performance that must be satisfied in the outage region [9].…”

Section: Introductionmentioning

confidence: 99%

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A Cell Outage Management Framework for Dense Heterogeneous Networks

Onireti

Zoha

Moysen

et al. 2016

IEEE Trans. Veh. Technol.

106

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Abstract-In this paper, we present a novel cell outage management (COM) framework for heterogeneous networks (HetNets) with split control and data planes -a candidate architecture for meeting future capacity, quality of service and energy efficiency demands. In such architecture, the control and data functionalities are not necessarily handled by the same node. The control base stations (BSs) manage the transmission of control information and user equipment (UE) mobility, while the data BSs handle UE data. An implication of this split architecture is that, an outage to a BS in one plane has to be compensated by other BSs in the same plane. Our COM framework addresses this challenge by incorporating two distinct cell outage detection (COD) algorithms to cope with the idiosyncrasies of both the data and control planes. The COD algorithm for control cells leverages the relatively larger number of UEs in the control cell to gather large scale minimize drive testing (MDT) reports data, and detects outage by applying machine learning and anomaly detection techniques. To improve outage detection accuracy, we also investigate and compare the performance of two anomaly detecting algorithms, i.e. k− nearest neighbor and local outlier factor based anomaly detector, within the control COD. On the other hand, for data cells COD, we propose a heuristic grey-prediction based approach, which can work with the small number of UEs in the data cell, by exploiting the fact that the control BS manages UE-data BS connectivity, by receiving a periodic update of the received signal reference power (RSRP) statistic between the UEs and data BSs in its coverage. The detection accuracy of the heuristic data COD algorithm is further improved by exploiting the Fourier series of residual error that is inherent to grey prediction model. Our COM framework integrates these two COD algorithms with a cell outage compensation (COC) algorithm which can be applied to both planes. Our COC solution utilizes an actor critic (AC) based reinforcement learning (RL) algorithm, which optimizes the capacity and coverage of the identified outage zone in a plane, by adjusting the antenna gain and transmission power of the surrounding BSs in that plane. The simulation results show that the proposed framework can detect both data and control cell outage, and also compensate for the detected outage in a reliable manner.

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