Sector beam synthesis for cellular systems using phased antenna arrays

Sabharwal, Ashutosh; Avidor, D.; Potter, Lee C.

doi:10.1109/25.892583

Cited by 21 publications

(7 citation statements)

References 15 publications

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“…The target is to synthesize a flat-top shaped beam patterns of 0.4, 1.4 and 2 in width at the broadside array with ripple level ≤ 0.5 dB, the narrowest transition and suppressed SLL = -25dB. Using the array factor equation (6) radiation patterns are computed with the coefficients so obtained. Both the amplitude and phase excitation coefficient weights for each element are optimized to generate the desired flat-top radiation pattern.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

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Amplitude and Phase Synthesis of Linear Array for Sector Beams using Modified Harmony Search Differential Evolution Algorithm

Vidhyavathi¹

2016

IJECE

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The work in this area is limited particularly in beam shaping. In the process of pattern synthesis, intensive investigations are carried out to optimize desired beam shapes for small and large arrays. The main objective of this present work is to optimize the new amplitude and Phase distributions for desired flat top beams by using the combination of Harmony Search Algorithm and Differential Evolution Algorithm. It is found that the new algorithm provides great improvement in main lobe shaping control and side lobes which is present in the obtained radiation patterns. The optimized radiation patterns are more close to desired patterns and the numerical simulation results are presented.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

“…He derived a modifying algorithm commonly used for adaptive array antennas. A study of flat-top beam synthesis for cellular systems is presented in [6]- [7]. Sadler [8] discussed a sector beam synthesis using optimization techniques for linear antenna arrays.…”

Section: Introductionmentioning

confidence: 99%

Amplitude and Phase Synthesis of Linear Array for Sector Beams using Modified Harmony Search Differential Evolution Algorithm

Vidhyavathi¹

2016

IJECE

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“…The capacity of cellular systems can also be improved by cell sectorization [7,8], where each cell is further divided into sectors. Cell sectorization is achieved by using multiple directional antenna [9] at each base-station, thereby reducing the inter-sector interference. Due to the directional antenna response, cell sectorization has also been shown to reduce the delay spread of the received signal leading to power savings [10].…”

Section: Spatial Diversity Techniques Have Recently Received Considerable Interest Due To Their Potentialmentioning

confidence: 99%

“…But the gains of transmitter information increase dramatically with multiple transmit and receive antennas. Using the extensions of ( 7) and (9) to multiple antennas [25,27], a representative example is shown in Figure 4. Thus, building adaptive power control policies is more useful for multiple antenna systems; see [28] for practical methods to achieve a significant portion of this capacity in a practical system.…”

Section: Capacity Of Single-user Fading Channelsmentioning

confidence: 99%

Multiuser Wireless Communication Systems

Sabharwal

Aazhang

2003

Wiley Encyclopedia of Telecommunications

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“…Among the recent applications of continuous linear semi-infinite programming (LSIP), let us mention that the primal problem P arises in functional approximation [5,6], finance [12], Bayesian statistics [14], and the design of telecommunications networks [4,13,16], whereas the dual D has been used in robust Bayesian analysis [3] and optimization under uncertainty [1].…”

Section: Introductionmentioning

confidence: 99%

Solvability And Primal-dual Partitions Of The Space Of Continuous Linear Semi-infinite Optimization Problems

Barragán¹,

Hernández²,

Todorov³

2018

CyS

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Different partitions of the parameter space of all linear semi-infinite programming problems with a fixed compact set of indices and continuous right and left hand side coefficients have been considered in this paper. The optimization problems are classified in a different manner, e.g., consistent and inconsistent, solvable (with bounded optimal value and nonempty optimal set), unsolvable (with bounded optimal value and empty optimal set) and unbounded (with infinite optimal value). The classification we propose generates a partition of the parameter space, called second general primal-dual partition. We characterize each cell of the partition by means of necessary and sufficient, and in some cases only necessary or sufficient conditions, assuring that the pair of problems (primal and dual), belongs to that cell. In addition, we show non emptiness of each cell of the partition and with plenty of examples we demonstrate that some of the conditions are only necessary or sufficient. Finally, we investigate various questions of stability of the presented partition.

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Sector beam synthesis for cellular systems using phased antenna arrays

Cited by 21 publications

References 15 publications

Amplitude and Phase Synthesis of Linear Array for Sector Beams using Modified Harmony Search Differential Evolution Algorithm

Amplitude and Phase Synthesis of Linear Array for Sector Beams using Modified Harmony Search Differential Evolution Algorithm

Multiuser Wireless Communication Systems

Solvability And Primal-dual Partitions Of The Space Of Continuous Linear Semi-infinite Optimization Problems

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