Outage capacity improvements in multicellular CDMA systems using receive antenna diversity and fast power control

2005 ◽  
Vol 4 (5) ◽  
pp. 2222-2231 ◽  
Author(s):  
Y. Tokgoz ◽  
B.D. Rao
Keyword(s):  
Power Control ◽  
Antenna Diversity ◽  
Outage Capacity ◽  
Fast Power ◽  
Cdma Systems ◽  
Receive Antenna

Effect of constrained fast power control on cellular DS-CDMA systems with base station diversity

2002 ◽  
Vol 38 (8) ◽  
pp. 385 ◽  
Author(s):  
J.M. Romero Jerez ◽  
M. Ruiz Garcı́a ◽  
A. Dı́az Estrella
Keyword(s):  
Power Control ◽  
Base Station ◽  
Fast Power ◽  
Cdma Systems

Study of Power Control in CDMA System on the basis of optimization Technique

2017 ◽  
Vol 7 (8) ◽  
pp. 126
Author(s):  
. Geetanjli
Keyword(s):  
Power Control ◽  
Multiple Access ◽  
Optimization Technique ◽  
System Optimization ◽  
Base Station ◽  
Particle Swarm Algorithm ◽  
Cdma System ◽  
Frequency Division ◽  
Cdma Systems ◽  
Time Division

The power control in CDMA systems, grant numerous users to share resources of the system uniformly between each other, leading to expand capacity. With convenient power control, capacity of CDMA system is immense in contrast of frequency division multiple access (FDMA) and time division multiple access (TDMA). If power control is not achieved numerous problems such as the near-far effect will start to monopolize and consequently will reduce the capacity of the CDMA system. However, when the power control in CDMA systems is implemented, it allows numerous users to share resources of the system uniformly between themselves, leading to increased capacity For power control in CDMA system optimization algorithms i.e. genetic algorithm & particle swarm algorithm can be used which regulate a convenient power vector. These power vector or power levels are dogged at the base station and announce to mobile units to alter their transmitting power in accordance to these levels. The performances of the algorithms are inspected through both analysis and computer simulations, and compared with well-known algorithms from the literature.

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