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Radio Fine Tuning
RADIO FINE TUNING
1TYPICAL RADIO PROBLEMS
2ALGORITHMS AND ASSOCIATED PARAMETERS
3OTHER ALGORITHMS
4ALGORITHMS DYNAMIC BEHAVIOR
5CASE STUDIES
1 TYPICAL RADIO
PROBLEMS
• ▼ Objective: to be able to characterize typical radio problems in order to trigger an intervention of the
appropriate team
• ▼ Program:
1. Theoretical presentation
2. Coverage problem
3. Interference problem
4. Unbalanced power budget problem
5. TCH Congestion problem
6. Deducing the right team for intervention
7. Exercises
▼ Several sources of information can alert RFTM team:
•QoS indicators
•Customers complaints
•Drive tests
•Other teams information (NSS statistics)
▼ As many symptoms are common to several causes, it can be necessary to:
•Consolidate standard sources of information
•Carryout specific examinations
•Deduce the appropriate team for intervention

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ALCATEL Radio Fine Tuning.ppt

  • 2. RADIO FINE TUNING 1TYPICAL RADIO PROBLEMS 2ALGORITHMS AND ASSOCIATED PARAMETERS 3OTHER ALGORITHMS 4ALGORITHMS DYNAMIC BEHAVIOR 5CASE STUDIES
  • 4. • ▼ Objective: to be able to characterize typical radio problems in order to trigger an intervention of the appropriate team • ▼ Program: 1. Theoretical presentation 2. Coverage problem 3. Interference problem 4. Unbalanced power budget problem 5. TCH Congestion problem 6. Deducing the right team for intervention 7. Exercises
  • 5. ▼ Several sources of information can alert RFTM team: •QoS indicators •Customers complaints •Drive tests •Other teams information (NSS statistics) ▼ As many symptoms are common to several causes, it can be necessary to: •Consolidate standard sources of information •Carryout specific examinations •Deduce the appropriate team for intervention