A novel adaptive traffic load shedding scheme for CDMA cellular mobile systems

Chen, X.H.; Lee, K.L.

doi:10.1109/iccs.1994.474189

Cited by 15 publications

(4 citation statements)

References 3 publications

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“…For non-uniform traffic distribution, sectorization is an effective way to maximize the network capacity [2] [3]. The goal of dynamic sectorization is similar to load balancing in previous studies [4] [5]. Adaptive load-shedding scheme combines the power control and soft handoff functionality to enforce some users farthest away from cell/base station (two terms are used in turn hereafter) enter forced soft handoffs, and transfer to neighboring cells that are lightly loaded.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Load Balancing of Cellular CDMA Systems Considering Non-uniform Traffic Distributions

Chu

Lin

2004

Lecture Notes in Computer Science

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Abstract. In this paper, we investigate the load balancing problem by jointly considering sectorization and hybrid F/CDMA scheme in the scenario of non-uniform traffic distributions. The problem is formulated as a mathematical optimization model, and is solved by Lagrangean relaxation approach. The model objective is to minimize weighted blocking probability in terms of distribution diversity. To evaluate the model, performance analysis of adaptive load balancing is conducted by proposed bandwidth segmentation scheme; it is denoted adaptive scheme (AS). Non-adaptive (NA) approach by common power control scheme is compared. Combining sectorization and bandwidth segmentation scheme provides novel adaptive load balancing. Performance improvement that proposed adaptive scheme outperforms common power control scheme is about 50%.

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Section: Introductionmentioning

confidence: 99%

“…The proposed scheme is called "adaptive load balancing" to optimally assigning FS with respect to traffic loads, the interferences between cells/sectors can be mitigated by bandwidth segmentation. (1), (2), (3), (4), (5), (1,2), (2,3), (3,4), (4,5), (1,2,3), (2,3,4), (3,4,5), (1,2,3,4), (2,3,4,5), ( …”

Section: Sectorization and Hybrid F/cdma Schemementioning

confidence: 99%

Adaptive Load Balancing of Cellular CDMA Systems Considering Non-uniform Traffic Distributions

Chu

Lin

2004

Lecture Notes in Computer Science

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“…However, in a hot-spot sector, powering up all MSs in the sector results in excessive interference with the MSs in neighboring cells, so they cannot maintain sufficient SIR levels at their sector sites. Previous studies also attempt to achieve constant received mean power from each MS within a sector [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Heterogeneous Traffic Distributions on Load Balancing in Mobile Communications: An Analytical Model

Chu

Wang

Jiang

et al. 2014

INT J COMPUT COMMUN

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This paper investigates the load balancing problem in an environment of heterogeneous traffic distributions. An analytical model is proposed to determine the effect of heterogeneous traffic distributions on load balancing, in which a generic measure of load balancing level (LBL) that is a function of traffic type coefficient (TYC) and call blocking probability of cells is to analyze the expected level of the load balance. We consider both voice traffic and data traffic to determine which kind of traffic has the greater effect. The performance of cellular systems with sectorization is evaluated; they are normal case (N) of homogeneous distribution and linear case (L) of heterogeneous distribution. The analysis results indicate that the TYC has a significant effect on the accommodation capacity, in which voice calls outperform data calls because the LBL can easily distinguish between normal and linear distributions. Load balancing can be achieved more easily for voice only traffic than for data only traffic. Sectorization is more effective in achieving load balancing in the scenario of the heavier loads than in the lighter loads. The paper results are useful for network planning to optimize the channel allocation for different traffic type's distribution.

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“…Therefore, we derive the expressions for the effect of the jamming MS by exploiting the ideas introduced by Joseph and Roberto [6]. From equation (3), unanticipated interference from a jamming MS also affects the total received power at the cellsite to reach faster at the threshold value and makes far-end users enter the handoff state [7]. In order to solve this problem, we propose an antijamming algorithm in DS-CDMA cellular system.…”

Section: Introductionmentioning

confidence: 99%

Anti-jamming algorithm for traffic load shedding in DS-CDMA cellular system

Lee

Lyu²,

Um³

Proceedings of Third International Conference on Electronics, Circuits, and Systems

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This paper describes an anti-jamming algorithm in DS-CDMA cellular system. The proposed algorithm consists of detection, verification and control module. The detection module is based on the investigation of user's Eb/No received at the channel element(CE) of Base Station(BS) for finding jamming MS when all the SNRs of the mobile stations are greater than the threshold SNR[ 81. The verification module verifies whether the MS is jamming MS or not.The control module is based on the disconnection of active call of jamming MS. Therefore, we can prevent the cell coverage from shrinking due to jamming MS.As a result, we can find jamming MS using the proposed antijamming algorithm in CDMA cellular system and prevent the coverage of cell from shrinking due to the jamming MS and decrease the load of system by the hand-off.

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A novel adaptive traffic load shedding scheme for CDMA cellular mobile systems

Cited by 15 publications

References 3 publications

Adaptive Load Balancing of Cellular CDMA Systems Considering Non-uniform Traffic Distributions

Adaptive Load Balancing of Cellular CDMA Systems Considering Non-uniform Traffic Distributions

The Effect of Heterogeneous Traffic Distributions on Load Balancing in Mobile Communications: An Analytical Model

Anti-jamming algorithm for traffic load shedding in DS-CDMA cellular system

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