A spatial-temporal decorrelating receiver for CDMA systems with base-station antenna arrays

2001 ◽  
Vol 49 (2) ◽  
pp. 329-340 ◽  
Author(s):  
Ruifeng Wang ◽  
S.D. Blostein
Keyword(s):  
Antenna Arrays ◽  
Base Station ◽  
Cdma Systems

Performance analysis of forward link beamforming techniques for DS/CDMA systems using base station antenna arrays

2000 ◽  
Vol 48 (3) ◽  
pp. 862-865 ◽  
Author(s):  
Kwang Soon Kim ◽  
Iickho Song ◽  
Seung Chan Bang ◽  
Tae-Joong Kim
Keyword(s):  
Performance Analysis ◽  
Antenna Arrays ◽  
Base Station ◽  
Forward Link ◽  
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.

scholarly journals Suppression of Cross-Band Scattering in Interleaved Dual-Band Cellular Base-Station Antenna Arrays

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 222486-222495
Author(s):  
Hai-Han Sun ◽  
Bevan Jones ◽  
Y. Jay Guo ◽  
Yee Hui Lee
Keyword(s):  
Antenna Arrays ◽  
Base Station ◽  
Dual Band

scholarly journals Beamforming Optimization in Internet of Things Applications Using Robust Swarm Algorithm in Conjunction with Connectable and Collaborative Sensors

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2048 ◽  
Author(s):  
Mohammed Zaki Hasan ◽  
Hussain Al-Rizzo
Keyword(s):  
Internet Of Things ◽  
Antenna Arrays ◽  
Smart Grids ◽  
Network Connectivity ◽  
Base Station ◽  
Node Selection ◽  
Swarm Optimization ◽  
Selection Scheme ◽  
Multihop Relaying ◽  
The Internet Of Things

The integration of the Internet of Things (IoT) with Wireless Sensor Networks (WSNs) typically involves multihop relaying combined with sophisticated signal processing to serve as an information provider for several applications such as smart grids, industrial, and search-and-rescue operations. These applications entail deploying many sensors in environments that are often random which motivated the study of beamforming using random geometric topologies. This paper introduces a new algorithm for the synthesis of several geometries of Collaborative Beamforming (CB) of virtual sensor antenna arrays with maximum mainlobe and minimum sidelobe levels (SLL) as well as null control using Canonical Swarm Optimization (CPSO) algorithm. The optimal beampattern is achieved by optimizing the current excitation weights for uniform and non-uniform interelement spacings based on the network connectivity of the virtual antenna arrays using a node selection scheme. As compared to conventional beamforming, convex optimization, Genetic Algorithm (GA), and Particle Swarm Optimization (PSO), the proposed CPSO achieves significant reduction in SLL, control of nulls, and increased gain in mainlobe directed towards the desired base station when the node selection technique is implemented with CB.

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