Load-based component carrier selection for LTE-A femtocell networks

Abstract

With advance of wireless communications, our life style has been changed. We canconnect not only Internet service at anytime anywhere, but also get real time contentsservice like TV show and VOD (Video On Demand) without delay. Shortly, our societyhas been full of communications with electrical devices. The market of communicationservice is getting wider and more complicated. Wire communication only can not meetthe consumer`s demands so there are many research projects to improve the wirelesscommunication technologies. Nontheless, in wireless communication systems, it is precisethat we have only limited amount of resources. This fact makes a trade-off between reusefrequency and inter-cell interference is very important and many research centers andcompanies are focus on development the most ecient way between interference andreuse the resources. Femtocell is a promising solution for this problem. To improve thesystem capacity, the small cell concept which by getting the transmitter and receivercloser to each other, low power and more bandwidth reuse system is emerged.In LTE-Advanced system, with the femtocell system, total capacity improvement isexpected and to expand the bandwidth carrier aggregation (CA) technique is applied.Carrier aggregation technique makes wider bandwidth when the user want higher datarate in multi carrier environment.In other words, in this system, component carriers (CCs) allocation is very importantto use the resource effectively, and the reuse resources meet to achieve a higher data rate,but it makes severe interference to other cells which use the same frequency bands. Inaddition, limitation such as unpredictable deployment of femtocells and limited numberof component carriers require a rational solution.In this thesis, we propose a load-based component carrier selection scheme which canmanage interference between femtocell and femtocell and allocate resources eciently bymeans of manage the CCs allocation in ...