Program: Collaborative Research Program for Alumni (CRA)

Field: Computer and Information Engineering

Principal Investigator: Asst. Prof. Dr. I Wayan MUSTIKA

Sending University: Universitas Gadjah Mada (UGM)

Japanese Co-Investigator: Assoc. Prof. Dr. Koji YAMAMOTO

Japanese University: Kyoto University

Year: 2015

Abstract:

A promising technique that can facilitate the improvement of spectrum utilization is dynamic spectrum access (DSA) through spectrum sharing. Cognitive radio is a key enabling technology that has the potential to enable the spectrum sharing by providing wireless devices with capability to autonomously reconfigure their transmission parameters according to the changes in the surrounding environment or network topology. Thus, cognitive radio technology could be embedded in the femtocell network as a solution for enhancing the utilization of the limited radio spectrum, while benefiting end-users through high data throughput. Femtocell network consists of femto base stations (BSs) and femto users. Femto BSs are generally installed and controlled in residential or office environments by end-users. In addition, femtocells are usually configured in closed access such that only the authorized users can use the femtocell services. This situation leads to two kinds of interference in the femtocell and macrocell network: cross-tier interference and co-tier interference. In this work, centralized and decentralized approach for resource allocation in cognitive femtocell networks are going to be considered. The objective is two-folds. First is to propose the optimization techniques based on nature-inspired algorithm to minimize the cross- and co-tier interference by allocating either resource blocks, base station, power or the combination of these resources. Second is to compare the result of the proposed centralized approach using optimization techniques with our previous work on decentralized resource allocation scheme based on game theoretic approach to show how effectiveness of the decentralized resource allocation scheme compared to the centralized approach. Despite still new research topic as described in many literatures, cognitive femtocell networks are expected to solve the spectrum scarcity problem in the future The proposed research project is a novel idea to solve the spectrum scarcity problem in heterogeneous network using natureinspired optimization algorithm. This new research topic opens collaboration opportunity with other laboratories in the same field The proposed research project which can be breakdown into several subtopics bring more challenges research group and students to study various optimization techniques to solve the problem Cognitive radio networks are expected to solve the spectrum scarcity problem in the future through the development of Software Defined Radio (SDR). Society and Industry are interested to find optimal solution of resource allocation in heterogeneous network