Device-to-device (D2D) communication overlaying a cellular network has been proved to augment the flexibility and enable new applications (e.g., content distribution) in cellular networks. In this context, it is crucial to design a radio resource management system that allocates the time-frequency (TF) resources to the D2D links in a distributed way, i.e. without any coordination by the cellular network, so as to guarantee the quality of service (QoS), particularly in heterogeneous traffic conditions. Interference-aware resource allocation has the capability to adapt the resource management to a context where multiple D2D links coexist in the same spectrum. In this paper, a distributed scheduling approach is proposed where each D2D link reacts to the locally sensed interference by self-adapting its own TF allocation. Each node autonomously trades the QoS request in term of packet service with the resource availability by inflating/deflating the spectrum allocation based on the sensed interference level. The change of the interference pattern perceived in turn by other D2D links serves as interlink signaling of the need/release of TF resources. Each node optimizes the allocation by iterated local adjustments, till an equilibrium with other D2D links is reached. The paper shows that the proposed scheduling algorithm is able to maximize the total throughput in a fully distributed way, arranging efficiently the radio resources over the TF domain so as to satisfy the QoS requirements for each node.

Device-to-Device Resource Scheduling by Distributed Interference Coordination

ALVAREZ VILLANUEVA, MARIA ANTONIETA;SOATTI, GLORIA;NICOLI, MONICA BARBARA;SPAGNOLINI, UMBERTO
2016-01-01

Abstract

Device-to-device (D2D) communication overlaying a cellular network has been proved to augment the flexibility and enable new applications (e.g., content distribution) in cellular networks. In this context, it is crucial to design a radio resource management system that allocates the time-frequency (TF) resources to the D2D links in a distributed way, i.e. without any coordination by the cellular network, so as to guarantee the quality of service (QoS), particularly in heterogeneous traffic conditions. Interference-aware resource allocation has the capability to adapt the resource management to a context where multiple D2D links coexist in the same spectrum. In this paper, a distributed scheduling approach is proposed where each D2D link reacts to the locally sensed interference by self-adapting its own TF allocation. Each node autonomously trades the QoS request in term of packet service with the resource availability by inflating/deflating the spectrum allocation based on the sensed interference level. The change of the interference pattern perceived in turn by other D2D links serves as interlink signaling of the need/release of TF resources. Each node optimizes the allocation by iterated local adjustments, till an equilibrium with other D2D links is reached. The paper shows that the proposed scheduling algorithm is able to maximize the total throughput in a fully distributed way, arranging efficiently the radio resources over the TF domain so as to satisfy the QoS requirements for each node.
2016
IEEE International Conference on Communications 2016 (ICC 2016)
Mobile telecommunication systems; Radio links; Resource allocation; Scheduling; Scheduling algorithms; Wireless networks Content distribution; Device-to-device (D2D) communication; Distributed scheduling; Heterogeneous traffic; Interference co-ordination; Interference patterns; Radio resource management; Resource availability
File in questo prodotto:
File Dimensione Formato  
CV_2016_ICC.pdf

Accesso riservato

Descrizione: Full paper
: Publisher’s version
Dimensione 6.55 MB
Formato Adobe PDF
6.55 MB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/983925
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 2
social impact