Economic aspects of configuring cellular networks
Wireless Networks
Optimum positioning of base stations for cellular radio networks
Wireless Networks
A polynomial-time approximation scheme for base station positioning in UMTS networks
DIALM '01 Proceedings of the 5th international workshop on Discrete algorithms and methods for mobile computing and communications
An agent based approach to site selection for wireless networks
Proceedings of the 2002 ACM symposium on Applied computing
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
The impact of mobility on cellular network configuration
Wireless Networks
A Heuristic Approach for Antenna Positioning in Cellular Networks
Journal of Heuristics
Automated Decision Technology for Network Design in Cellular Communication Systems
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 3 - Volume 3
Evolution of Planning for Wireless Communication Systems
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 9 - Volume 9
Comparison and evaluation of multiple objective genetic algorithms for the antenna placement problem
Mobile Networks and Applications
IEEE Transactions on Evolutionary Computation
IEEE Journal on Selected Areas in Communications
Personalised subscription pricing for optimised wireless mesh network deployment
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Providing downlink wireless coverage is expensive and represents a dominant variable cost for mobile communication operators. It is vital that operators select base station locations so that efficiency is achieved, with high coverage relative to total cost of the selected operational base stations. However, efficiency in this context has not previously received explicit analysis. In this paper, we explicitly study cell plan infrastructure efficiency. We determine the density of macro cells which gives maximal coverage at minimal cost, modelling an irregular dispersion of candidate base station locations with varying procurement costs. An empirical investigation is undertaken consisting of 585 experiments using 45 synthesised test problems. The results provide evidence indicating the optimal relative size for inter-cell overlap. This is a new and important observation.We introduce and assess the marginal cost of service coverage. This represents the lowest rate at which infrastructure cost must increase to facilitate higher levels of service coverage. Two important conclusions are drawn. Firstly, the results quantify a significant advantage from increasing candidate site density. Secondly, marginal cost emerges as a powerful concept for analysing the impact of investment. We observe common trends in the behaviour of this function, which quantify a rapid diminishing return (in terms of service coverage) for additional infrastructure expenditure. Finally we consider the spectral implications of increased cell density. As cell overlap increases, we determine the additional span of channels needed to satisfy signal-to-interference requirements for service area coverage. We explain how these results are of practical use in cellular network planning.