Base Station Association Game in Multi-Cell Wireless Networks (Special Paper)

We consider a multi-cell wireless network with a large number of users. Each user selfishly chooses the Base Station (BS) that gives it the best throughput (utility), and each BS allocates its resource by some simple scheduling policy. First we consider two cases: (1) BS allocates the same time to i...

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Published in2008 IEEE Wireless Communications and Networking Conference pp. 1616 - 1621
Main Authors Libin Jiang, Parekh, S., Walrand, J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2008
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Online AccessGet full text
ISBN1424419972
9781424419975
ISSN1525-3511
DOI10.1109/WCNC.2008.289

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Abstract We consider a multi-cell wireless network with a large number of users. Each user selfishly chooses the Base Station (BS) that gives it the best throughput (utility), and each BS allocates its resource by some simple scheduling policy. First we consider two cases: (1) BS allocates the same time to its users; (2) BS allocates the same throughput to its users. It turns out that, combined with users' selfish behavior, case (1) results in a single Nash Equilibrium (NE), which achieves system-wide Proportional Fairness. On the other hand, case (2) results in many possible Nash Equilibria, some of which are very inefficient. Next, we extend (1) to the case where the users have general concave utility functions. It is shown that the if each BS performs intra- cell optimization, the total utility of all users is maximized at NE. This suggests that under our model, the task of joining the ";correct"; BS can be left to individual users, leading to a distributed solution.
AbstractList We consider a multi-cell wireless network with a large number of users. Each user selfishly chooses the Base Station (BS) that gives it the best throughput (utility), and each BS allocates its resource by some simple scheduling policy. First we consider two cases: (1) BS allocates the same time to its users; (2) BS allocates the same throughput to its users. It turns out that, combined with users' selfish behavior, case (1) results in a single Nash Equilibrium (NE), which achieves system-wide Proportional Fairness. On the other hand, case (2) results in many possible Nash Equilibria, some of which are very inefficient. Next, we extend (1) to the case where the users have general concave utility functions. It is shown that the if each BS performs intra- cell optimization, the total utility of all users is maximized at NE. This suggests that under our model, the task of joining the ";correct"; BS can be left to individual users, leading to a distributed solution.
Author Parekh, S.
Walrand, J.
Libin Jiang
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Snippet We consider a multi-cell wireless network with a large number of users. Each user selfishly chooses the Base Station (BS) that gives it the best throughput...
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SubjectTerms Base stations
Communications Society
Computer science
Femtocell networks
Physical layer
Protocols
Resource management
System performance
Throughput
Wireless networks
Title Base Station Association Game in Multi-Cell Wireless Networks (Special Paper)
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