Name
Abstract | ||
|---|---|---|
We study a repeated auction for the resource allocation problem in OFDM-based cognitive radio networks (CRNs), in which secondary users (SUs) share the primary spectrum under the interference constraints of primary users (PUs). With the inter-cell interference and mutual interference between PUs and SUs, the resource allocation problem is formulated as a non-convex optimization problem. Auction performs well in solving non-convex problems, therefore the interference auction with cooperative bidding is proposed. Moreover, with the theoretical analysis of equilibrium, an implementation algorithm for the auction is developed and the convergence is proved. Simulation results show that the interference auction obtains a good spectrum efficiency improvement and a rapid convergence rate. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/VETECS.2012.6239963 | VTC Spring |
Keywords | Field | DocType |
cooperative bidding,secondary users,radiofrequency interference,auction,interference constraints,interference auction,cognitive radio,commerce,pu,ofdm modulation,convex programming,resource allocation,convergence rate,cognitive radio network,radio spectrum management,convergence,ofdm-based cognitive radio networks,nonconvex optimization problem,crn,spectrum sharing,auction approach,intercell interference,primary spectrum,su,primary users,ofdm,vectors,resource management,interference | Radio resource management,Computer science,Computer network,Resource allocation,Spectral efficiency,Bidding,Channel allocation schemes,Optimization problem,Orthogonal frequency-division multiplexing,Cognitive radio | Conference |
Volume | Issue | ISSN |
null | null | 1550-2252 E-ISBN : 978-1-4673-0988-2 |
ISBN | Citations | PageRank |
978-1-4673-0988-2 | 5 | 0.49 |
References | Authors | |
4 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lihong Cao | 1 | 59 | 3.65 |
| Wenjun Xu | 2 | 313 | 59.63 |
| Jiaru Lin | 3 | 646 | 80.74 |
| Kai Niu | 4 | 561 | 86.80 |
| Zhiqiang He | 5 | 215 | 41.14 |