Radio Planning and Optimization of W-CDMA Systems

Amaldi, E.; Capone, Antonio; Malucelli, Federico; Signori, F.

doi:10.1007/978-3-540-39867-7_42

Cited by 11 publications

(5 citation statements)

References 11 publications

(19 reference statements)

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“…Moreover, from a computational point of view, the second way of finding good solutions for an uplink and downlink scenario is obviously much less intensive than producing them with the entire model: indeed, the algorithm used for the uplink model with power-based PC is about 50 times faster than the one used for the overall model. For lack of space we cannot report experimental results related to the impact of the introduction of pilot signals in 3G planning, but the reader is reported to [11] for further explanations: we can briefly say that these signals considerably reduce the available power at BSs, thus worsening the quality of the results obtained without them.…”

Section: Sir-based Uplink Power-based Uplink Served Tps # Of Bss Servmentioning

confidence: 95%

A mathematical programming approach for W-CDMA radio planning with uplink and downlink constraints

Amaldi

Capone

Malucelli

et al. 2003

2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484)

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The mobile telecommunications industry throughout the world is currently shifting its focus from secondgeneration (2G) to third-generation (3G) UMTS technology. Service providers and manufacturers are investing in the design and manufacture of advanced mobile Internet/multimediacapable wireless networks based on the Wideband Code Division Multiple Access (W-CDMA) radio access platform. In [1], [2], [3] we studied the radio planning problem considering separately uplink and downlink direction and we proposed algorithms and a mathematical programming model for locating and configuring base stations aiming at maximizing coverage and minimizing cost. In this paper we describe an overall model which considers both uplink and downlink direction. We also propose a Tabu Search algorithm and a simple power control mechanism to drastically reduce the computational time required to find an approximate solution of the mixed uplink and downlink model. Finally, some experimental results obtained for realistic instances are reported and discussed.

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Section: Sir-based Uplink Power-based Uplink Served Tps # Of Bss Servmentioning

confidence: 95%

A mathematical programming approach for W-CDMA radio planning with uplink and downlink constraints

Amaldi

Capone

Malucelli

et al. 2003

2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484)

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“…Between 2003-2008, different mathematical programming models and algorithms were described by Amaldi et al [6][7][8] for locating and configuring base stations in order to maximize the coverage and to minimize the costs. In 2006, Amaldi et al [9] also outlined some of the most significant optimization problems emerging in planning second and third generation cellular networks.…”

Section: Related Workmentioning

confidence: 99%

The Allocation of Base Stations with Region Clustering and Single-Objective Nonlinear Optimization

et al. 2022

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For the problem of 5G network planning, a certain number of locations should be selected to build new base stations in order to solve the weak coverage problems of the existing network. Considering the construction cost and some other factors, it is impossible to cover all the weak coverage areas so it is necessary to consider the business volume and give priority to build new stations in the weak coverage areas with high business volume. Aimed at these problems, the clustering of weak point data was carried out by using k-means clustering algorithm. With the objective function as the minimization of the total construction cost of the new base stations, as well as the constraints as the minimal distance between adjacent base stations and the minimal coverage of the communication traffic, the single-objective nonlinear programming models were established to obtain the layout of macro and micro base stations in order to illustrate the impact of the shape of the station coverage area, the circular and the “shamrock” shaped coverage areas were compared in this paper. For the “shamrock” base station, a secondary clustering was undertaken to judge the main directions of the three sector coverage areas. Then, an improved model taking the coverage overlapping into consideration was proposed to correct the coverage area of different sectors. Finally, the optimal layout was obtained by adjusting the distribution of all base stations globally. The results show that the optimal planning method proposed in this paper has good practicability, which also provides a very good reference for solving similar allocation problems of dynamic resources.

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“…Finally, Amaldi et al [39,40] propose one of the most complete model in which both the uplink and the downlink directions are considered simultaneously. They present a mathematical programming model (which is basically the combination of previous models) to optimize the location and configuration of BSs.…”

Section: Radio Planning Algorithmsmentioning

confidence: 99%

Topological planning and design of UMTS mobile networks: a survey

St-Hilaire

2008

Wireless Communications

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In this paper, we present a literature review on the topological planning problem of third generation (3G) cellular networks based on the universal mobile telecommunications system (UMTS) standard. After describing the UMTS architecture, we introduce each subproblem and present major works that have been done. The cell, the access and the core network planning problems have all been considered as well as a more global approach (when more than one subproblems are considered simultaneously). Both planning and expansion algorithms are also included in this review. The goal of this paper is to present and classify the different research works that have been done so that it can be used as a starting point for future research on topological design of UMTS networks.• The optimal number of BSs.• The best location to install the BSs. • The type (or model) of BSs. Fig. 2. UMTS planning subproblems.

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Radio Planning and Optimization of W-CDMA Systems

Cited by 11 publications

References 11 publications

A mathematical programming approach for W-CDMA radio planning with uplink and downlink constraints

A mathematical programming approach for W-CDMA radio planning with uplink and downlink constraints

The Allocation of Base Stations with Region Clustering and Single-Objective Nonlinear Optimization

Topological planning and design of UMTS mobile networks: a survey

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