Combined coverage and capacity optimisation for UMTS networks

Evolutionary algorithms for solving the automatic cell planning problem: a survey

“…It is worth mentioning here that, even though power tilt and azimuth are actually real-valued parameters, they are usually discretized into a rather small set of values in order to reduce the complexity of the optimization problem. This is the approach used in Altman et al (2002a,b), Cahon et al (2006), Jamaa et al (2004aJamaa et al ( ,b, 2006, Jedidi et al (2004), Meunier et al (2000), Picard et al (2005), Reininger et al (1999), Talbi et al (2007), Talbi and Meunier (2006), Zimmermann et al (2000Zimmermann et al ( , 2003a. The main advantage of this encoding scheme is that EAs are put to work on real solutions so therefore problem-domain specific knowledge can be easily included in the search.…”

“…This is the approach used in Altman et al (2002a,b), Cahon et al (2006), Jamaa et al (2004aJamaa et al ( ,b, 2006, Jedidi et al (2004), Meunier et al (2000), Picard et al (2005), Talbi et al (2007), Talbi and Meunier (2006).…”

Topological planning and design of UMTS mobile networks: a survey

“…Manual design only involves the modification of a small number of parameters. Another paper by Jamaa et al [42] deals with the capacity and coverage optimization. Since capacity and coverage are somehow related, they use a multi-objective formulation.…”

Compromise in CDMA Network Planning

“…Again, solutions are sought via the application of meta-heuristics (SA and evolutionary SA). Ben Jamaa et al ([8,9]] propose an approach which employs a multi-objective GA (MOGA) to simultaneously optimize capacity and coverage by adjusting antenna parameters and common channel transmitted powers (antenna locations fixed). A multi-objective fitness function is employed which can consider objectives such as coverage, capacity and cost.…”