Name
Abstract | ||
|---|---|---|
Millimeter wave (mmW) technologies are currently being proposed as backhaul for outdoor urban small cells. However, non-line-of-sight (NLOS) operation must be addressed before solutions can be fully realised. This letter proposes a reinforcement learning algorithm for improving the reliability of an mmW NLOS small cell backhaul system based on propagation by diffraction. Simulation results show th... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LCOMM.2017.2754264 | IEEE Communications Letters |
Keywords | Field | DocType |
Switches,Delays,5G mobile communication,Reliability,Wireless communication,Performance evaluation,Diffraction | Non-line-of-sight propagation,Extremely high frequency,Wireless,Backhaul (telecommunications),Computer science,Computer network,Real-time computing,Data rate,Reinforcement learning algorithm | Journal |
Volume | Issue | ISSN |
22 | 1 | 1089-7798 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bessie Malila | 1 | 4 | 1.79 |
| Olabisi Emmanuel Falowo | 2 | 46 | 13.72 |
| Neco Ventura | 3 | 124 | 25.86 |