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Design of new resource allocation scheme for symbiosis of DASH clients and non-DASH clients
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AbstractIn this paper, we propose a new resource allocation scheme for symbiosis of DASH clients and non-DASH clients (RASS) to provide seamless video streaming service to DASH clients and to guarantee fairness among non-DASH clients. In RASS, all the LTE downlink resource blocks are divided into two chunks by a KKT-conditions-based Resource-Division Controller (KCRDC). With the two divided chunks, the proposed scheme leads PFRA and KKT-conditions-based resource allocation scheme (KCRA) to allocate each chunk to non-DASH clients and DASH clients, respectively. PFRA allocates resource blocks with maintaining good trade-off between fairness and spectrum efficiency. On the other hand, KCRA allocates more resource blocks to DASH clients in the risk of re-buffering events to preferentially reduce the re-buffering-time ratios of the DASH clients. Finally, simulations are completed using the NS-3 (network simulator). The obtained results show that the proposed scheme shows a better synthetic performance than the existing resource allocation schemes in consideration of the re-buffering-time ratios and QoE value of DASH clients and the fairness among non-DASH clients.
Springer Science and Business Media LLC
Title: Design of new resource allocation scheme for symbiosis of DASH clients and non-DASH clients
Description:
AbstractIn this paper, we propose a new resource allocation scheme for symbiosis of DASH clients and non-DASH clients (RASS) to provide seamless video streaming service to DASH clients and to guarantee fairness among non-DASH clients.
In RASS, all the LTE downlink resource blocks are divided into two chunks by a KKT-conditions-based Resource-Division Controller (KCRDC).
With the two divided chunks, the proposed scheme leads PFRA and KKT-conditions-based resource allocation scheme (KCRA) to allocate each chunk to non-DASH clients and DASH clients, respectively.
PFRA allocates resource blocks with maintaining good trade-off between fairness and spectrum efficiency.
On the other hand, KCRA allocates more resource blocks to DASH clients in the risk of re-buffering events to preferentially reduce the re-buffering-time ratios of the DASH clients.
Finally, simulations are completed using the NS-3 (network simulator).
The obtained results show that the proposed scheme shows a better synthetic performance than the existing resource allocation schemes in consideration of the re-buffering-time ratios and QoE value of DASH clients and the fairness among non-DASH clients.
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