2011
DOI: 10.1109/mcom.2011.6035824
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Deprioritization of heavy users in wireless networks

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Cited by 5 publications
(3 citation statements)
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“…Along the lines of efficient utilization, concern about the looming possibility of spectrum exhaust [2] has led to research into cognitive radio networks as a means of improving spectrum utilization [4]. Other work has studied what happens when heavy users are 'deprioritized' in wireless networks [11] and how that compares to throttling.…”
Section: Related Workmentioning
confidence: 99%
“…Along the lines of efficient utilization, concern about the looming possibility of spectrum exhaust [2] has led to research into cognitive radio networks as a means of improving spectrum utilization [4]. Other work has studied what happens when heavy users are 'deprioritized' in wireless networks [11] and how that compares to throttling.…”
Section: Related Workmentioning
confidence: 99%
“…Users responsible for an excessive amount of traffic are punished via throttling or banned from the high capacity networks, effectively limiting service down to GPRS or EDGE levels. Throttling is the prevailing method for rate-limiting, even though deprioritisation can be much friendlier for end-users [19]. The main difference is that throttling constantly limits the throughput of specific clients, whereas deprioritisation characterises the traffic associated with these clients as low priority and limits its rate under congestion, but still allows high throughput when the traffic load of the network is low.…”
Section: Introductionmentioning
confidence: 99%
“…With the global mobile data traffic forecasted to increase 13 times until 2017 [89], cellular network providers need to find cost-effective ways to handle the growing traffic demands with expected QoS levels. In highly congested wireless networks, many operators already perform de-prioritisation of heavy users for congestion management [90]. As an alternative, complementary network technologies are used for delivering data originally targeted for cellular networks.…”
Section: Cellular Data Offloadingmentioning
confidence: 99%