Name
Abstract | ||
|---|---|---|
Recent studies have demonstrated the effectiveness of proactive resource allocation under the assumption of perfect prediction of the user's future data rate. In this paper, imperfect rate prediction merely based on the context information including large-scale channel gains of users and statistical information of system available resources is considered. Under the outage-based quality of service constraint, we propose a proactive power allocation policy aimed at minimizing the total transmit energy consumption. Simulation results show that the proposed statistical information-based proactive power allocation performs close to the one with perfect rate prediction, and exhibits evident performance gain over the non-proactive transmission policies. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/GlobalSIP.2015.7418155 | 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP) |
Keywords | Field | DocType |
cellular network,non-proactive transmission policy,perfect rate prediction,statistical information-based proactive power allocation,total transmit energy consumption minimization,outage-based quality of service constraint,large-scale channel gain,imperfect rate prediction,context-aware energy saving | Resource management,Information processing,Imperfect,Computer science,Communication channel,Quality of service,Operations research,Real-time computing,Resource allocation,Data rate,Energy consumption | Conference |
Citations | PageRank | References |
1 | 0.35 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuzhou Hu | 1 | 1 | 0.35 |
| Shengqian Han | 2 | 312 | 24.78 |
| Chenyang Yang | 3 | 2111 | 141.51 |