Economic aspects of configuring cellular networks
Wireless Networks
Teletraffic Technologies in ATM Networks
Teletraffic Technologies in ATM Networks
The impact of mobility on cellular network configuration
Wireless Networks
Wireless Personal Communications: An International Journal
Modelling the cost of heterogeneous wireless access networks
International Journal of Mobile Network Design and Innovation
Analytical framework for dimensioning hierarchical WiMax-WiFi networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Resource allocation in cellular networks based on marketing preferences
Wireless Networks
Customer oriented resource allocation framework in cognitive radio
Computers and Industrial Engineering
Urban cellular planning optimisation of multi-service enhanced UMTS based in economic issues
WWIC'06 Proceedings of the 4th international conference on Wired/Wireless Internet Communications
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Multi-service traffic engineering has a strong impact in Mobile Broadband Systems (MBS) revenues, allowing one to obtain merit functions for optimisation purposes, a key aspect in cellular planning. A net cost model is presented for the design trade-offs between re-use pattern, K , coverage distance, R , and spectral efficiency, Sef (R). It allows for the determination of the revenue per basic channel, R384, that achieves a given value for the annual profit per kilometre. Fast terminal mobility has an important impact in handover failure probability, hence, in system capacity. While in the business city centre and other urban scenarios mobility has no significant effect, it strongly affects the supported traffic in main roads. Comparing the urban with the roads scenarios, a reduction up to 54% may come as a consequence, from (Sef)TOT = 32.2 to 15.2%, for R = 100 m and K = 2; R384 has to be 0.005 and 0.045 /min, respectively, i.e., the prices in the roads scenario have to be around one order of magnitude higher than in the urban one. As time goes by, and the use of MBS evolves, the operator will be able to choose different cell coverage distances, in order to support a different number of users, whilst maximising profit. In a medium term scenario, while the number of foreseen users is less than 70% of the number of users in the mature phase, cells with R = 200 m will be used.