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DC Field | Value | Language |
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dc.contributor.author | EGENA, Onu | - |
dc.contributor.author | OMAR, Alani | - |
dc.date.accessioned | 2024-09-10T08:15:47Z | - |
dc.date.available | 2024-09-10T08:15:47Z | - |
dc.date.issued | 2015 | - |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/2741 | - |
dc.description.abstract | The essence of high Quality of Service (QoS) provisioning in any network is centred on optimization which can be approached from different perspectives depending on the network operator’s target and Key Performance Indicator (KPI) parameter tweaking ability. In this article, we present a collaborative resource allocation technique using the Market Game that utilizes the Shapley value solution concept which is a method used in the field of Political- Economy for fair distribution of resources as exemplified in a welfare state. Modelled on the Long Term Evolution (LTE) Advanced Network, the results show an improvement in the throughputs achieved by users of the network. | en_US |
dc.description.sponsorship | Myself | en_US |
dc.publisher | IEEE | en_US |
dc.subject | LTE-Advanced | en_US |
dc.subject | Resource Allocation; | en_US |
dc.subject | Collaboration | en_US |
dc.subject | Fairness | en_US |
dc.subject | Optimization | en_US |
dc.title | Resource Allocation in LTE-Advanced Network: A Collaborative Market Game Approach | en_US |
Appears in Collections: | Research Articles |
Files in This Item:
File | Description | Size | Format | |
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Resource Allocation in LTE Network as a Collaborative Market Game Edited Essex2.pdf | 615.42 kB | Adobe PDF | View/Open |
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