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Next generation network management of heterogeneous mobile users

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Next generation network management of heterogeneous mobile users. / Rocha Sa e Moura, Jose Andre; Dunmore, Martin; Edwards, Christopher.

MobiWac '08 Proceedings of the 6th ACM international symposium on Mobility management and wireless access. New York : ACM, 2008. p. 111-118.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Rocha Sa e Moura, JA, Dunmore, M & Edwards, C 2008, Next generation network management of heterogeneous mobile users. in MobiWac '08 Proceedings of the 6th ACM international symposium on Mobility management and wireless access. ACM, New York, pp. 111-118, MobiWac '08: Proceedings of the 6th ACM international symposium on Mobility management and wireless access, 1/01/00. https://doi.org/10.1145/1454659.1454678

APA

Rocha Sa e Moura, J. A., Dunmore, M., & Edwards, C. (2008). Next generation network management of heterogeneous mobile users. In MobiWac '08 Proceedings of the 6th ACM international symposium on Mobility management and wireless access (pp. 111-118). ACM. https://doi.org/10.1145/1454659.1454678

Vancouver

Rocha Sa e Moura JA, Dunmore M, Edwards C. Next generation network management of heterogeneous mobile users. In MobiWac '08 Proceedings of the 6th ACM international symposium on Mobility management and wireless access. New York: ACM. 2008. p. 111-118 https://doi.org/10.1145/1454659.1454678

Author

Rocha Sa e Moura, Jose Andre ; Dunmore, Martin ; Edwards, Christopher. / Next generation network management of heterogeneous mobile users. MobiWac '08 Proceedings of the 6th ACM international symposium on Mobility management and wireless access. New York : ACM, 2008. pp. 111-118

Bibtex

@inproceedings{0d186e8e066343449ebe95ece21f61d9,
title = "Next generation network management of heterogeneous mobile users",
abstract = "At present, none of the known mobility management proposals can efficiently support mobile wireless users in the Next Generation Network (NGN) because this environment will have both heterogeneous access technologies belonging to diverse network providers, and users using services with different network requirements. We aim to use Game Theory (GT) to understand how to fulfil the expectations of both users and network providers in a way that the NGN will work efficiently. In this work, we propose a game between the network operator and the users to evaluate how each user{\textquoteright}s decision impacts on the operator reward, and vice-versa. In addition, we investigate how both players can maximize their rewards or utilities, noticing they have conflicting expectations. Then, we analyse distinct network usage scenarios: no user mobility, mobility detected by both operator and user, distinct user classes and various network loads. Our results show that our mobility model with heterogeneous users has a Nash Equilibrium (NE) but it depends on the network load, who triggers the handover and the handover management approach being used. In our opinion, these results give some guidelines as to how the NGN mobility should be supported.",
keywords = "NGN, Mobility, Analysis, Game theory",
author = "{Rocha Sa e Moura}, {Jose Andre} and Martin Dunmore and Christopher Edwards",
year = "2008",
month = oct,
day = "30",
doi = "10.1145/1454659.1454678",
language = "English",
isbn = "978-1-60558-055-5 ",
pages = "111--118",
booktitle = "MobiWac '08 Proceedings of the 6th ACM international symposium on Mobility management and wireless access",
publisher = "ACM",
note = "MobiWac '08: Proceedings of the 6th ACM international symposium on Mobility management and wireless access ; Conference date: 01-01-1900",

}

RIS

TY - GEN

T1 - Next generation network management of heterogeneous mobile users

AU - Rocha Sa e Moura, Jose Andre

AU - Dunmore, Martin

AU - Edwards, Christopher

PY - 2008/10/30

Y1 - 2008/10/30

N2 - At present, none of the known mobility management proposals can efficiently support mobile wireless users in the Next Generation Network (NGN) because this environment will have both heterogeneous access technologies belonging to diverse network providers, and users using services with different network requirements. We aim to use Game Theory (GT) to understand how to fulfil the expectations of both users and network providers in a way that the NGN will work efficiently. In this work, we propose a game between the network operator and the users to evaluate how each user’s decision impacts on the operator reward, and vice-versa. In addition, we investigate how both players can maximize their rewards or utilities, noticing they have conflicting expectations. Then, we analyse distinct network usage scenarios: no user mobility, mobility detected by both operator and user, distinct user classes and various network loads. Our results show that our mobility model with heterogeneous users has a Nash Equilibrium (NE) but it depends on the network load, who triggers the handover and the handover management approach being used. In our opinion, these results give some guidelines as to how the NGN mobility should be supported.

AB - At present, none of the known mobility management proposals can efficiently support mobile wireless users in the Next Generation Network (NGN) because this environment will have both heterogeneous access technologies belonging to diverse network providers, and users using services with different network requirements. We aim to use Game Theory (GT) to understand how to fulfil the expectations of both users and network providers in a way that the NGN will work efficiently. In this work, we propose a game between the network operator and the users to evaluate how each user’s decision impacts on the operator reward, and vice-versa. In addition, we investigate how both players can maximize their rewards or utilities, noticing they have conflicting expectations. Then, we analyse distinct network usage scenarios: no user mobility, mobility detected by both operator and user, distinct user classes and various network loads. Our results show that our mobility model with heterogeneous users has a Nash Equilibrium (NE) but it depends on the network load, who triggers the handover and the handover management approach being used. In our opinion, these results give some guidelines as to how the NGN mobility should be supported.

KW - NGN

KW - Mobility

KW - Analysis

KW - Game theory

U2 - 10.1145/1454659.1454678

DO - 10.1145/1454659.1454678

M3 - Conference contribution/Paper

SN - 978-1-60558-055-5

SP - 111

EP - 118

BT - MobiWac '08 Proceedings of the 6th ACM international symposium on Mobility management and wireless access

PB - ACM

CY - New York

T2 - MobiWac '08: Proceedings of the 6th ACM international symposium on Mobility management and wireless access

Y2 - 1 January 1900

ER -