Super dense wireless cloud network (WCN) provides for a low latency and reliable multi-user communications by leveraging on advanced transmission techniques of densely deployed relays acting as a macro-relay node (so-called WCN). Cloud Access (CA) nodes are gateways to the WCN and their queued packets are flooded through a dense self-contained WCN with massively interacting relay nodes. In this paper, we address the scheduling problem of multiple CA nodes that mutually share the WCN resources to relay multiple flows under heterogeneous traffic arrival rates. We show that when the interference mitigation capability of the WCN is efficient enough, the simultaneous transmissions in all-at-once mode is the optimal solution compared to the baseline scheme. A distributed offloading mechanism is tailored in the WCN backhaul to reduce the traffic heterogeneity effect and activate the maximum possible CA nodes simultaneously. This consequently ties up the end users quality of service (QoS) at a high level of experience as shown by the numerical results.

Scheduling of the super-dense wireless cloud networks

SPAGNOLINI, UMBERTO;
2015-01-01

Abstract

Super dense wireless cloud network (WCN) provides for a low latency and reliable multi-user communications by leveraging on advanced transmission techniques of densely deployed relays acting as a macro-relay node (so-called WCN). Cloud Access (CA) nodes are gateways to the WCN and their queued packets are flooded through a dense self-contained WCN with massively interacting relay nodes. In this paper, we address the scheduling problem of multiple CA nodes that mutually share the WCN resources to relay multiple flows under heterogeneous traffic arrival rates. We show that when the interference mitigation capability of the WCN is efficient enough, the simultaneous transmissions in all-at-once mode is the optimal solution compared to the baseline scheme. A distributed offloading mechanism is tailored in the WCN backhaul to reduce the traffic heterogeneity effect and activate the maximum possible CA nodes simultaneously. This consequently ties up the end users quality of service (QoS) at a high level of experience as shown by the numerical results.
2015
2015 IEEE International Conference on Communication Workshop, ICCW 2015
978-1-4673-6305-1
Cloud Utilization; Minimum Time Scheduling; Offloading; Wireless Cloud Networks; Computer Networks and Communications
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/988972
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