Particle Swarm Optimization Based Approach for Location Area Planning in Cellular Networks
Journal Title: International Journal of Intelligent Systems and Applications in Engineering - Year 2015, Vol 3, Issue 2
Abstract
Location area planning problem plays an important role in cellular networks because of the trade-off caused by paging and registration signalling (i.e., location update). Compromising between the location update and the paging costs is essential in order to improve the performance of the network. The trade-off between these two factors can be optimized in such a way that the total cost of paging and location update can be minimized along with the link cost. Due to the complexity of this problem, meta-heuristic techniques are often used for analysing and solving practical sized instances. In this paper, we propose an approach to solve the LA planning problem based on the Particle Swarm Optimization (PSO) algorithm. The performance of the approach is investigated and evaluated with respect to the solution quality on a range of problem instances. Moreover, experimental work demonstrated the performance comparison in terms of different degree of mobility, paging load, call traffic load, and TRX load. The performance of the proposed approach outperform other existing meta-heuristic based approaches for the most problem instances.
Authors and Affiliations
Mays S. Algebary*| Tripoli University, Computer Engineering Department, Tripoli, Libya, Issmail M. Ellabib| Tripoli University, Computer Engineering Department, Tripoli, Libya, Ahmed B. Elwhishi| Faculty of Electronics Technology, Tripoli, Libya
BAT algorithm for Cryptanalysis of Feistel cryptosystems
Recent cryptosystems constitute an effective task for cryptanalysis algorithms due to their internal structure based on nonlinearity. This problem can be formulated as NP-Hard. It has long been subject to various attacks...
Optimal Energy Management System for PV/Wind/Diesel-Battery Power Systems for Rural Health Clinic
Good operation of a hybrid system can be achieved only by a suitable control of the interaction in the operation of the different devices. This paper proposed a supervisory control system that will be used to control and...
Intrusion Detection Forecasting Using Time Series for Improving Cyber Defence
The strength of time series modeling is generally not used in almost all current intrusion detection and prevention systems. By having time series models, system administrators will be able to better plan resource alloca...
Estimating of Compressive Strength of Concrete with Artificial Neural Network According to Concrete Mixture Ratio and Age
Compressive strength of concrete is one of the most important elements for an existing building and a new structure to be built. While obtaining the desired compressive strength of concrete with an appropriate mix and cu...
Particle Swarm Optimization Design of Optical Directional Coupler Based on Power Loss Analysis
In this work, feasible design is presented as an optimization problem for an optical directional coupler and designed by using particle swarm optimization (PSO). Principally, identical, weakly guiding, slab and lossless...