TY - GEN
T1 - Dynamic spectrum sharing with multiple primary and secondary users
AU - Lin, Peng
AU - Jia, Juncheng
AU - Zhang, Qian
AU - Hamdi, Mounir
PY - 2010
Y1 - 2010
N2 - Dynamic spectrum sharing in cognitive radio networks can enhance flexibility, and as a result the efficiency of spectrum usage. In this paper, we address the problem of spectrum sharing in a cognitive radio network where multiple primary and secondary strategic-users are involved. In this scenario, primary users (PUs) would like to offer part of their spectrum to secondary users (SUs) to make extra revenue. PUs face a trade-off since the more spectrum that is being shared with SUs, the more Quality of Service (QoS) degradation their own service will suffer. SUs access the Internet through an Access Point (AP). They have to decide their best strategies by taking into account service satisfaction and payment lost. The profit of PUs and SUs is directly related to the bandwidth allocation and price charging through the AP. Considering this competitive relationship, we model the scenario as a noncooperative game, and analyze it by exploring the properties of Nash Equilibrium (NE) point. The simulation results support our theoretic analysis.
AB - Dynamic spectrum sharing in cognitive radio networks can enhance flexibility, and as a result the efficiency of spectrum usage. In this paper, we address the problem of spectrum sharing in a cognitive radio network where multiple primary and secondary strategic-users are involved. In this scenario, primary users (PUs) would like to offer part of their spectrum to secondary users (SUs) to make extra revenue. PUs face a trade-off since the more spectrum that is being shared with SUs, the more Quality of Service (QoS) degradation their own service will suffer. SUs access the Internet through an Access Point (AP). They have to decide their best strategies by taking into account service satisfaction and payment lost. The profit of PUs and SUs is directly related to the bandwidth allocation and price charging through the AP. Considering this competitive relationship, we model the scenario as a noncooperative game, and analyze it by exploring the properties of Nash Equilibrium (NE) point. The simulation results support our theoretic analysis.
UR - https://www.scopus.com/pages/publications/77955377629
U2 - 10.1109/ICC.2010.5502744
DO - 10.1109/ICC.2010.5502744
M3 - Conference contribution
AN - SCOPUS:77955377629
SN - 9781424464043
T3 - IEEE International Conference on Communications
BT - 2010 IEEE International Conference on Communications, ICC 2010
T2 - 2010 IEEE International Conference on Communications, ICC 2010
Y2 - 23 May 2010 through 27 May 2010
ER -