Load Balancing

Load Balancing in Cellular Network through Cell Breathing network structure being much dispersed, mobile AbstractIn cellular network, teletraffic continues to grow at a proliferating rate. Thus existing networks often encounter undesirable phenomenon like call drop due to overloading of cells. To overcome this problem, this thesis aims to perform load balancing using the technique of cell breathing in a novel way. Unlike previous works on cell breathing, where the radius of the overloaded cell was shrunk, this model proposes cell overlap. Here the coverage area of a lightly loaded neighboring cell who’s AP provides optimum power to the concerned clients, is expanded and overlapped with the heavily loaded cell. This ensures that ongoing calls in the overloaded cell are not dropped and transfers only the extra load to the lightly loaded neighboring cell without handoff. Furthermore, this paper also introduces Genetic Algorithm to optimize relevant parameters like power more efficiently than the conventional optimizing algorithm. Keywords: Load Balancing, Cellular Network, Cell Breathing, Grade of Service, Blocking Probability.

phone is creating huge impact especially among poor people in the village. This advantage is further enhanced by the tremendous potential for Wireless Internet in Bangladesh. However, as the cellular network grew, the traffic demand began to mount to a level of being strenuous. Thus a major limitation being faced is call blockings due to power limitation. This problem is specially faced in CDMA where code limitation may occur prior to power limitation. Henceforth, we propose an efficient dynamic load balancing scheme in cellular networks for managing a tele-traffic hot spot in which channel demand exceeds a certain threshold. With the advent and flourishing of wireless and cellular network, many other novel technologies followed the trail into our country. Besides, hyper advanced mobile sets and equipments like Bluetooth, a remarkable trend