Optimization of Soft Frequency Reuse for Irregular LTE Macrocellular Networks

González, David; García-Lozano, Mario; Boqué, Sílvia Ruiz; Lee, Dong Seop

doi:10.1109/twc.2013.040213.121081

Cited by 37 publications

(13 citation statements)

References 27 publications

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“…The way in which the bandwidth is allocated to the users largely determines the resulting system capacity and/or users' satisfaction. In this sense, cell-edge performance [16] is a well-known, yet important, problem in OFDMA-based cellular networks that can affect (negatively) user's experience. Broadly speaking, users at cell-edges are relatively more expensive in terms of radio resources, as their SINR is typically very low.…”

Section: Performance Metrics For Radio Access Network Planningmentioning

confidence: 99%

A Planning and Optimization Framework for Ultra Dense Cellular Deployments

González

Mutafungwa

Haile

et al. 2017

Mobile Information Systems

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To accommodate the ever-expanding wireless data traffic volumes, mobile network operators are complementing their macrocellular networks by deploying low-power base stations (or small cells) to offload traffic from congested macrocells and to reuse spectrum. To that end, Ultra Dense Network (UDN) deployments provide means to aggressively reuse spectrum, thus providing significant enhancements in terms of system capacity. However, these deployments entail several challenges, including the increased complexity in network planning and optimization. In this paper, we propose a versatile optimization framework for planning UDN deployments. The planning and optimization framework is underpinned by metrics that consider scalability in terms of number of users, cost of densification, and fairness. The proposed methodology is evaluated using a real-world UDN planning case. The numerical results expose a number of interesting insights, including the impact of different bandwidth allocation strategies and spatial service demand distribution on the performance of various network topologies. Specifically, we provide a performance comparison of the optimized UDN topologies versus random (unplanned), regular grid, and heuristically derived UDN topologies. This comparison further underlines the need for flexible network planning and optimization frameworks as different operator performance metrics of interest may require different radio access networks configurations.

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Section: Performance Metrics For Radio Access Network Planningmentioning

confidence: 99%

A Planning and Optimization Framework for Ultra Dense Cellular Deployments

González

Mutafungwa

Haile

et al. 2017

Mobile Information Systems

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“…• Cell edge performance (f 3 ). The 5 th percentile of the pixel rate Cumulative Distribution Function (CDF) is commonly used to provide an indicator for cell edge performance [34]. A vector with the weighted average rate at area element level can be obtained as follows:…”

Section: B Performance Metricsmentioning

confidence: 99%

A Novel Multiobjective Cell Switch-Off Framework for Cellular Networks

et al. 2016

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Cell Switch-Off (CSO) is recognized as a promising approach to reduce the energy consumption in next-generation cellular networks. However, CSO poses serious challenges not only from the resource allocation perspective but also from the implementation point of view. Indeed, CSO represents a difficult optimization problem due to its NP-complete nature. Moreover, there are a number of important practical limitations in the implementation of CSO schemes, such as the need for minimizing the real-time complexity and the number of on-off/off-on transitions and CSO-induced handovers. This article introduces a novel approach to CSO based on multiobjective optimization that makes use of the statistical description of the service demand (known by operators). In addition, downlink and uplink coverage criteria are included and a comparative analysis between different models to characterize intercell interference is also presented to shed light on their impact on CSO. The framework distinguishes itself from other proposals in two ways: 1) The number of on-off/off-on transitions as well as handovers are minimized, and 2) the computationally-heavy part of the algorithm is executed offline, which makes its implementation feasible. The results show that the proposed scheme achieves substantial energy savings in small cell deployments where service demand is not uniformly distributed, without compromising the Quality-of-Service (QoS) or requiring heavy real-time processing.

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“…The proposed scheme searches for the optimal dimensions of cell-center and cell-edge zones as well as the optimal frequency reuse factor. In [21], a multi-objective algorithm for improving SFR performance is proposed. It addresses the tradeoff between enhancing network capacity and improving cell-edge performance.…”

Section: Related Workmentioning

confidence: 99%

Inter-cellular scheduler for 5G wireless networks

Gueguen

Ezzaouia

Yassin

2016

Physical Communication

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International audienceEnhancing the Quality of Experience (QoE) in wireless networks is a crucial issue. Many acknowledged works focus on intra-cellular scheduling. They have shown that when the channel impairment is taken into consideration by the opportunistic scheduling approaches, it allows to reach higher throughputs and, for the most efficient ones, a higher fairness. However, if some of these works provide results near to optimum considering a single cell, high QoE cannot be guaranteed for scenarios where the cells are overloaded. In this article, we propose a new inter-cellular scheduler able to help the overloaded cells thanks to a dynamic cell bandwidth allocation. Our resource allocation technique is based on an adequate emergency parameter called Mean Cell Packet Delay Outage Ratio (MCPDOR). Performance evaluation shows that the proposed scheduler widely outperforms existing solutions in various scenarios. A variant of our solution that does not consider MCPDOR is also proposed and evaluated

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Optimization of Soft Frequency Reuse for Irregular LTE Macrocellular Networks

Cited by 37 publications

References 27 publications

A Planning and Optimization Framework for Ultra Dense Cellular Deployments

A Planning and Optimization Framework for Ultra Dense Cellular Deployments

A Novel Multiobjective Cell Switch-Off Framework for Cellular Networks

Inter-cellular scheduler for 5G wireless networks

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