Mobile Data Offloading Through Caching in Residential 802.11 Wireless Networks
Autor: | Leandros Tassiulas, George Iosifidis, Konstantinos Poularakis, Ioannis Pefkianakis, Martin May |
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Rok vydání: | 2016 |
Předmět: |
Computer Networks and Communications
business.industry Wireless network Computer science Mobile broadband ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS 05 social sciences Mobile computing 050801 communication & media studies 020206 networking & telecommunications Wireless WAN 02 engineering and technology 0508 media and communications 0202 electrical engineering electronic engineering information engineering Cellular network Cache Electrical and Electronic Engineering business Mobile data offloading Computer network Triangular routing |
Zdroj: | IEEE Transactions on Network and Service Management. 13:71-84 |
ISSN: | 1932-4537 |
DOI: | 10.1109/tnsm.2016.2521352 |
Popis: | As the ever growing mobile data traffic challenges the economic viability and performance of cellular networks, innovative solutions that harvest idle user-owned network resources are gaining increasing interest. In this work, we propose leasing wireless bandwidth and cache space of residential 802.11 (WiFi) access points (APs) for offloading mobile data. This solution not only reduces cellular network congestion, but, due to caching, improves also the user-perceived network performance without overloading the backhaul links of the APs. To encourage residential users to contribute their bandwidth and cache resources, we design monetary incentive (reimbursement) schemes. The offered reimbursements directly determine the amounts of available bandwidth and cache space in every AP, which in turn affect the caching policy (where to cache each content file) and the routing policy (where to route each mobile data request). In order to reduce operator’s total cost for serving mobile data requests and leasing resources, we introduce a framework for the joint optimization of incentive, caching, and routing policies. Using a novel WiFi usage dataset collected from 167 residences, we show that in densely populated areas with relatively costly network capacity upgrades, our proposal can halve operator’s total cost, while reimbursing up to 9€ per month each residential user. |
Databáze: | OpenAIRE |
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