Neural network design
Performance of RSS-, SIR-based handoff and soft handoff in microcellular environments
Wireless personal communications
Fuzzy logic: intelligence, control, and information
Fuzzy logic: intelligence, control, and information
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Cooperative Communications and Networking
Cooperative Communications and Networking
Opportunistic spectrum access in cognitive radio networks: when to turn off the spectrum sensors
Proceedings of the 4th Annual International Conference on Wireless Internet
EURASIP Journal on Wireless Communications and Networking - Special issue on OFDMA architectures, protocols, and applications
On cognitive radio networks with opportunistic power control strategies in fading channels
IEEE Transactions on Wireless Communications
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
| Hi-index | 0.00 |
This paper investigates neuro-fuzzy (NF)-based opportunistic spectrum access and spectrum hand-off (HO) for a cognitive cooperative network (CCN). The main aim is to increase the average throughput of the CCN. Secondary users (SUs) in the CCN are scheduled using α-proportional scheduling. The NF α-based algorithm enables each SU to determine the most appropriate channel for its data transmission. SUs keep their transmission power below the interference temperature through power control and do not interfere with the normal operation of primary radio network (PRN). If the quality of service (QoS) of the SU is not obtained, a HO occurs. Mamdani-adaptive neuro-fuzzy inference system (M-ANFIS) is used to construct spectrum access and HO controllers. The proposed algorithm is compared with the existing algorithms. Performance evaluations clearly reveal that the outage probability is reduced and average throughput of the CCN is increased.