Name
Title | ||
|---|---|---|
Full-duplex massive multiple input multiple output systems under hardware impairments. |
Abstract | ||
|---|---|---|
•Mobile learning systems are investigated from the perspective of physical layer.•Full-duplex massive MIMO is applied into mobile learning systems to boost system rate and reduce transmission delay.•Full-duplex based mobile learning systems are studied in the presence of hardware imperfections.•A novel method to determine the optimal number of mobile learning users for maximizing sum uplink rate is proposed. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compeleceng.2017.07.001 | Computers & Electrical Engineering |
Keywords | Field | DocType |
M-Learning,5G,Full-duplex,Massive MIMO,Random matrix theory,Hardware impairments | Computer science,Matrix (mathematics),Minimum mean square error,Physical layer,Equivalence (measure theory),Computer hardware,Channel state information,Telecommunications link,Random matrix,Duplex (telecommunications) | Journal |
Volume | ISSN | Citations |
71 | 0045-7906 | 0 |
PageRank | References | Authors |
0.34 | 14 | 2 |