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Everything about Mobile data offloading
Data networking technique
Mobile data offloading is the use of complementary network technologies for delivering data originally targeted for cellular networks. Offloading reduces the amount of data being carried on the cellular bands, freeing bandwidth for other users. It is also used in situations where local cell reception may be poor, allowing the user to connect via wired services with better connectivity. Wikipedia →
🧠Start here: a 6-step reading path
- Read the overview: Mobile data offloadingA 5-minute orientation
- Skim a recent paper: RAIM: A Reverse Auction-Based Incentive Mechanism for Mobile Data Offloading Through Opportunistic Mobile NetworksInfluential work since 2022
- Pick up a classic book: Mobile computing, applications, and servicesThe most-reprinted book on the subject
- Read the landmark paper: Mobile Data Offloading: How Much Can WiFi Deliver?Cited 467 times
- Go sideways: LTE-WLAN AggregationA closely related topic
- Go sideways: Wi-Fi callingA closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Mobile Data Offloading: How Much Can WiFi Deliver?
Mobile Data Offloading through Opportunistic Communications and Social Participation
A survey on mobile data offloading: technical and business perspectives
A Double-Auction Mechanism for Mobile Data-Offloading Markets
Computation Offloading With Data Caching Enhancement for Mobile Edge Computing
A Survey on Mobile Data Offloading Technologies
Bargaining-Based Mobile Data Offloading
Multiple Mobile Data Offloading Through Disruption Tolerant Networks
🆕 Influential since 2022
RAIM: A Reverse Auction-Based Incentive Mechanism for Mobile Data Offloading Through Opportunistic Mobile Networks
Digital transformation in wireless networks: A comprehensive analysis of mobile data offloading techniques, challenges, and future prospects
Secured data offloading using reinforcement learning and Markov decision process in mobile edge computing
Sensing Data Aggregation in Mobile Crowd Sensing: A Cloud-Enhanced-Edge–End Framework With DQN-Based Offloading
Adaptive offloading and scheduling algorithm for big data based mobile edge computing
đź“š Books worth reading
Mobile computing, applications, and servicesWash.) MobiCASE 2012 (2012 Seattle · 2013
Applications of Evolutionary ComputationAnna Isabel Esparcia-Alcázar · 2013- 📕ISCORD 2013Alaska) International Symposium on Cold Regions Development (10th 2013 Anchorage · 2013
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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