Automated optimization of key WCDMA parameters

Hoglund, A.; Valkealahti, Kimmo

doi:10.1002/wcm.212

Cited by 13 publications

(7 citation statements)

References 27 publications

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“…If both are true, then the right-hand side of (12) is zero, and hence s ij is forced to be zero. Otherwise (12) does not pose any restriction on s ij .…”

Section: Constraintsmentioning

confidence: 99%

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Coverage planning for optimizing HSDPA performance and controlling R99 soft handover

Chen

Yuan

2011

Telecommun Syst

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Abstract-Coverage planning is an important engineering task in deploying UMTS networks implementing both high speed downlink packet access (HSDPA) and Release 99 (R99) services. Coverage planning amounts to determining the cell coverage pattern by means of setting the common pilot channel (CPICH) power of the cells. A conventional strategy is to uniformly allocate a proportion of the total power to CPICH. In this paper, we develop mathematical modeling and optimization approaches to bring the benefit of power saving enabled by optimizing nonuniform CPICH to enhance HSDPA performance, while preserving a desired degree of soft handover (SHO) for R99. The study focuses on HSDPA performance at cell edges, where data throughput is typically low. An integer linear programming model is developed for the resulting optimization problem. The model admits optimal or near-optimal planning solutions for relatively small networks. Solution algorithms based on local search and repeated local search are developed. These algorithms are able to perform the optimization for large-scale networks time-efficiently. Experimental results for both synthesized networks as well as instances originating from real planning scenarios demonstrate the benefit of our optimization approach.

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“…If both are true, then the right-hand side of (12) is zero, and hence s ij is forced to be zero. Otherwise (12) does not pose any restriction on s ij .…”

Section: Constraintsmentioning

confidence: 99%

“…Our notion of modeling SHO mathematically follows the spirit of (12). For every pixel, we consider covering scenarios in which SHO does not take place.…”

Section: Constraintsmentioning

confidence: 99%

Coverage planning for optimizing HSDPA performance and controlling R99 soft handover

Chen

Yuan

2011

Telecommun Syst

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“…So far, the wide utilization of the term CR in a homonymous manner with OSA has kept the cellular operators (with licensed spectra) distant from the CR concept. However, the underlying concepts of CR in its broader meaning have already been considered for the legacy RANs under different forms: with the evolution of the cellular Radio Access Technology (RAT) from 3rd Generation (3G) towards Long Term Evolution (LTE) systems, the initial studies on ''auto-tuning'' or ''automated optimization'' in Wideband Code Division Multiple Access (WCDMA) [2,3] have gradually been transformed into what is recently known as ''Self-Organizing Network''(SON) functionalities and are currently subject to active standardization in 3rd Generation Partnership Project (3GPP) [4].…”

Section: Introductionmentioning

confidence: 99%

From Self-Organizing to Cognitive Networks: How Can the Cellular Network Operator Make Use of the Cognitive Paradigm?

Sayraç

2012

Lecture Notes in Electrical Engineering

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This chapter provides a compact view on the use of cognitive radio (CR) principles in cellular Radio Access Network (RAN) operation and management. This is achieved through a set of tangible operator-centric scenarios where cognitive features have the potential to bring benefits. These benefits are primarily due to a powerful enabling concept that increases the radio environmental awareness: Radio Environmental Maps (REMs). REMs are obtained by collecting and processing geo-localized measurements/observations reported by multiple network nodes/entities with the purpose of optimizing RAN management and operations like resource allocation/usage efficiency, coverage/capacity/Quality of Service (QoS) optimization. The REM-based operator-centric scenarios which are presented in this chapter provide concrete examples where the cellular operator can apply the cognitive paradigm on its radio networks and have potential benefits/ opportunities which is translated into performance and OPerational EXpenditures (OPEX) gains. Apart from those scenarios, the chapter also presents the REM functional architecture together with a detailed REM system architecture mapped onto the existing 3GPP Long Term Evolution (LTE) RAN architecture for selfoptimization and self-configuration of femtocells. The REM system architecture details provided by this chapter allows us to make cost calculations for each specific scenario once the requirements in terms of spatial and temporal REM updates are known. An example of signaling cost calculation for a specific measurement reporting message is given at the end of the chapter.

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“…In spite of the early research work and industrial interest in selfoptimization of GSM and UMTS [6][7], self-optimization was not included as a part of these standards. Later, the focus of research shifted towards self-optimization in heterogeneous networks using load balancing [8].…”

Section: Introductionmentioning

confidence: 99%

Self-organizing inter-cell interference coordination in 4G and beyond networks using genetic algorithms

et al. 2017

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The design objective of the 4G and beyond networks is not only to provide high data rate services but also ensure a good subscriber experience in terms of quality of service. However, the main challenge to this objective is the growing size and heterogeneity of these networks. This paper proposes a genetic-algorithm-based approach for the self-optimization of interference mitigation parameters for downlink inter-cell interference coordination parameter in Long Term Evolution (LTE) networks. The proposed algorithm is generic in nature and operates in an environment with the variations in traffic, user positions and propagation conditions. A comprehensive analysis of the obtained simulation results is presented, which shows that the proposed approach can significantly improve the network coverage in terms of call accept rate as well as capacity in terms of throughput.

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Automated optimization of key WCDMA parameters

Cited by 13 publications

References 27 publications

Coverage planning for optimizing HSDPA performance and controlling R99 soft handover

Coverage planning for optimizing HSDPA performance and controlling R99 soft handover

From Self-Organizing to Cognitive Networks: How Can the Cellular Network Operator Make Use of the Cognitive Paradigm?

Self-organizing inter-cell interference coordination in 4G and beyond networks using genetic algorithms

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