Torrent details for "Ahmad R. Constraints and Advanced Solutions for LTE..Heterogeneo…" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
None
Total Size:
25.2 MB
Info Hash:
598ABBC8EFF76CD63EE7F724360CEBEF77117C27
Added By:
Added:
Jan. 1, 2026, 1:48 p.m.
Stats:
|
(Last updated: Jan. 1, 2026, 1:49 p.m.)
| File | Size |
|---|---|
| Ahmad R. Constraints and Advanced Solutions for LTE..Heterogeneous Networks 2025.pdf | 25.2 MB |
Name
DL
Uploader
Size
S/L
Added
-
476.7 MB
[16
/
29]
2025-12-24
| Uploaded by zbyszek3k | Size 476.7 MB | Health [ 16 /29 ] | Added 2025-12-24 |
-
32.8 GB
[21
/
22]
2024-10-17
| Uploaded by IGGGAMESCOM | Size 32.8 GB | Health [ 21 /22 ] | Added 2024-10-17 |
NOTE
SOURCE: Ahmad R. Constraints and Advanced Solutions for LTE..Heterogeneous Networks 2025
-----------------------------------------------------------------------------------
COVER

-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format
The book presents advanced techniques for enhancing mobility management across evolving wireless systems, including 5G and beyond. It introduces innovative handover decision algorithms that leverage user movement patterns, historical data, and multi-criteria optimisation to improve the reliability and efficiency of both horizontal and vertical handovers. Focusing on dense femtocell-macrocell environments, the book proposes refined handover parameters and distance-based vertical handover methods for small-cell transitions. It addresses mobility challenges faced by high-mobility users, such as in vehicular and intelligent transportation systems, by introducing trajectory-based handover prediction models. The practical applications of these techniques are explored within the contexts of smart cities, IoT ecosystems, and future network infrastructures
×


