Additive Logarithmic Weighting for Balancing Video Delivery Over Heterogeneous Networks
| Autor: | Cristina Desogus, Matteo Anedda, Maurizio Murroni, Mauro Fadda |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Multicast
Computer science business.industry Network packet Quality of service 020206 networking & telecommunications 02 engineering and technology Load balancing (computing) Video quality 0202 electrical engineering electronic engineering information engineering Media Technology Wireless Electrical and Electronic Engineering Unicast business Heterogeneous network Computer network |
| Zdroj: | IEEE Transactions on Broadcasting. 67:131-144 |
| ISSN: | 1557-9611 0018-9316 |
| Popis: | The demand of media delivery services has increased with the popularity of social media and with the evolution of the user’s devices (i.e., smartphones, laptops, and tablets) pushing towards new contents distribution models. The coexistence of go-live and on-demand media content requires a combined broadcast/unicast delivery model with the efficient management of the wireless access as a key issue. A twofold target needs to be reached: optimizing the load balance among coexisting networks and offering adequate quality of service (QoS) to users. To achieve this target for mobile video service delivery over heterogeneous networks (HetNet) scenarios, this paper proposes a solution based on an additive logarithmic weighting (ALOW) algorithm combining received signal power, network load, packet delay, user’s equipment, and user’s credit budget. ALOW is optimized by means of a cooperative game theory (GATH) approach. The proposed solution, named ALOWGATH (i.e., ALOW + GATH), has been tested on realistic HetNet scenarios and compared to the state of the art of the network selection and balancing algorithms. Results show an improved performance in terms of throughput, satisfaction index and overall video quality delivered, with reduced computational complexity. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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