A Novel Bargaining Based Dynamic Spectrum Management Scheme in Reconfigurable Systems
ICSNC '06 Proceedings of the International Conference on Systems and Networks Communication
Dynamic Spectrum Allocation Algorithm for Cognitive Networks
ICWMC '07 Proceedings of the Third International Conference on Wireless and Mobile Communications
Dynamic Spectrum Access with QoS and Interference Temperature Constraints
IEEE Transactions on Mobile Computing
Dynamic spectrum allocation in composite reconfigurable wireless networks
IEEE Communications Magazine
Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework
IEEE Journal on Selected Areas in Communications
The E3 architecture: enabling future cellular networks with cognitive and self-x capabilities
International Journal of Network Management
Evaluation of signalling loads in a cognitive network management architecture
International Journal of Network Management
Metaheuristic Channel Assignment in DVB-T Networks in Conformity with Digital Dividend Requirements
Wireless Personal Communications: An International Journal
| Hi-index | 0.00 |
Future wireless systems are expected to be characterized by the coexistence of different radio access technologies (RATs) resulting in complex heterogeneous wireless environments. In parallel with this, the tremendous demand for spectrum has inspired the requirement of dynamic spectrum management (DSM). This paper aims at designing a cell based dynamic spectrum management (CBDSM) scheme to enhance the spectrum utilization and maximize the profit of operators in wireless heterogeneous networks. The system architecture and the functional modules supporting the CBDSM scheme are designed. As a fundamental issue in spectrum management, the inter-system interference issue is solved in the proposed CBDSM scheme. Furthermore, game theory, which is a potential tool for studying the distributed autonomous resource optimization algorithms, is applied to design a spectrum trading algorithm enabling the heterogeneous wireless networks to dynamically trade spectrum and to share the profit. In the algorithm, we take into account the economic value of the spectrum of wireless systems in order to guarantee the rationality for the spectrum trading. The simulation results show that the proposed CBDSM scheme effectively improves the spectrum utilization and the profit of operators while it reduces the mutual interference between wireless networks to a tolerable level.