Name
Abstract | ||
|---|---|---|
Energy consumption reducing in wireless communications has attracted increasing attention recently. Power control is a key technology for cognitive networks, which can affect energy saving of cognitive network and interfere with primary networks. In this paper, we jointly consider power control in physical layer, scheduling in link layer and routing in network layer to present a cross-layer optimization for power control in multi-hop cognitive network and formulate a mixed integer nonlinear program (MINLP) problem. To solve it, we develop a piece-wise linearization technique to transform the nonlinear term in constraints into the linear one and finally obtain the approximate optimal solution. Simulation results demonstrate the efficacy of the solution procedure and the optimal power control can achieve energy saving. |
Year | Venue | Keywords |
|---|---|---|
2016 | 2016 8TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS & SIGNAL PROCESSING (WCSP) | Multi-hop cognitive network, Power control, Energy saving, Piece-wise linearization, Cross-Layer optimization |
Field | DocType | ISSN |
Mathematical optimization,Wireless,Cross-layer optimization,Computer science,Network layer,Power control,Computer network,Link layer,Physical layer,Energy consumption,Cognitive network | Conference | 2325-3746 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tian Feng | 1 | 6 | 3.31 |
| Qi Cui | 2 | 0 | 0.34 |
| Pengchao Xing | 3 | 0 | 0.34 |
| Wenjun Zhu | 4 | 0 | 0.34 |
| Dapeng Li | 5 | 0 | 5.75 |
| Zhen Yang | 6 | 77 | 7.59 |