Utility-based distributed geographic load balancing in mobile cellular networks

Du, Lin; Bigham, John; Cuthbert, Laurie

doi:10.1049/cp:20030337

Cited by 7 publications

(7 citation statements)

References 21 publications

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“…Under different demand profiles the bubbles form cell shapes that when generated by the antenna patterns result in better cellular radio coverage for users over the whole network. In [8], a particular utility function is introduced for utility-based network entity control to realize networks optimization. In [9] and [10] cooperative pilot power control algorithm for user QoS, network capacity throughput improvement are provided.…”

Section: Related Workmentioning

confidence: 99%

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Enhanced cooperation in heterogeneous wireless networks using coverage adjustment

Pervaiz

Mei

Bigham

et al. 2010

Proceedings of the 6th International Wireless Communications and Mobile Computing Conference

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This paper illustrates an approach to improving the user perceived QoS in heterogeneous networks through the use of a two layered optimization. The top layer views the problem of prediction of the network that would be chosen by a user where the criteria are offered bit rate, price, mobility support and reputation. At the second level, conditional on the strategies chosen by the users, the network operator hypothetically, reconfigures the network, subject to the network constraints of bandwidth and acceptable SNR and optimizes the network coverage to support users who would otherwise not be serviced adequately. This forms an iterative cycle until a solution that optimizes the user satisfaction subject to the adjustments that the network operator can make to mitigate the binding constraints, is found. The process is illustrated through a simple example using a Wi-Fi and a WiMAX network.

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Section: Related Workmentioning

confidence: 99%

“…For bit rate it requires a mechanism to compute the bit rate that the user will experience and this depends on the location of the mobile, SNR of the channel and network type. More detail of the modeling used is described later and in [8].…”

Section: / Smaller the Bettermentioning

confidence: 99%

Enhanced cooperation in heterogeneous wireless networks using coverage adjustment

Pervaiz

Mei

Bigham

et al. 2010

Proceedings of the 6th International Wireless Communications and Mobile Computing Conference

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“…Du, Bigham and Cuthbert [6] present a utility-based approach for geographic load balancing in mobile cellular networks. The cooperation is encapsulated in the utility function rather than in exchanging negotiation messages.…”

Section: Related Workmentioning

confidence: 99%

Towards the fourth generation of cellular networks

Lin

Dor-Shifer

Rosenberg

et al. 2006

Proceedings of the 9th ACM International Symposium on Modeling Analysis and Simulation of Wireless and Mobile Systems

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This paper describes a novel programmatic approach to efficiently distribute resources in a dynamic cellular network, using local negotiations. Our proposed mechanism is reactive and facilitates parallel self-adaptation efforts, leading to dynamics that improve overall network performance. The local nature of the negotiations being performed as part of the adaptation process enables frequent changes in the network's parameters with a negligible coordination overhead. The results of our experiments suggest rapid adjustment to changes and overall improvement over time in the number of users served by the network. We evaluate our algorithm based on the service level index, measured by the number of covered handsets. Nevertheless, the proposed algorithm supports any set of parameters and any combination of performance measures supplied by service providers.

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“…The 4G network is less expensive and data transfer is much faster, with higher spectral efficiency [1]. With the aim of increasing the spectral efficiency of smart antenna schemes, the semi‐smart antenna concept was developed by researchers at Queen Mary University of London by simplifying the system of a smart antenna in a cellular network [2–6].…”

Section: Introductionmentioning

confidence: 99%

Low cost shaped beam synthesis for semi‐smart base station antennas

Chen

Parini

2016

IET Microwaves, Antennas & Propagation

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We present a low-cost shaped beam synthesis method for semi-smart base station antennas. Compared with the conventional array synthesis for smart antenna applications, the proposed circular/conformal array shaped beam synthesis for semi-smart antenna has much lower system complexity and instrumentation implementation cost. This is because only few elements are involved and the circular array factor is simplified for coarse granularity beam. Adding to this, a fast Quasi-Newton method is used by the linear/conformal array for the beam optimization. By coding the shaped beam synthesis methodology in C/C++, the shaped beam synthesis for 12-element circular array is implemented for the semi-smart Macrocell, showing its advantages of low consumed time and stable mean square errors. Furthermore, a semi-smart sectored Picocel has been designed with 4-element conformal array, which was demonstrated to be superior to the linear one by avoiding the blind angle, exhibiting better accuracy and less consumed processing time.

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Utility-based distributed geographic load balancing in mobile cellular networks

Cited by 7 publications

References 21 publications

Enhanced cooperation in heterogeneous wireless networks using coverage adjustment

Enhanced cooperation in heterogeneous wireless networks using coverage adjustment

Towards the fourth generation of cellular networks

Low cost shaped beam synthesis for semi‐smart base station antennas

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