Joint Multicast Routing and OFDM Resource Allocation in LTE-D2D 5G Cellular Network - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2018

Joint Multicast Routing and OFDM Resource Allocation in LTE-D2D 5G Cellular Network

S. Alwan
  • Fonction : Auteur
I. Fajjari
  • Fonction : Auteur
N. Aitsaadi
  • Fonction : Auteur
CIR

Résumé

An offloading scheme based on LTE-D2D is proposed in this paper to route the intracellular multicast traffic via a network of D2D-enabled User Equipments (UEs). The latter are ready to cooperate under the control of the eNodeB to carry and deliver the traffic. In doing so, the UEs reuse uplink resources granted by the eNodeB and thus, increasing the overall spectral efficiency while reducing the traffic load on the eNodeB. In this paper, we address the joint multicast routing and OFDM resource allocation problem in the D2D network to accomplish the offloading task. To do so, first we formulate the problem as an Integer Linear Programming (ILP) model which takes into account factors that limit spectrum reuse in addition to other LTE-D2D limitations: half-duplex operation and contiguity in resource block allocations. Then, we propose a novel scheme named Joint Multicast Routing and Wireless allocation in D2D communications (JRW-D2D-MC). The devised scheme consists of two-stage algorithm which, first, performs a pre-admittance filtering of flows that can be routed considering the current state of the network. Then, it makes use of the branch-and-cut method to solve the reduced ILP model. To evaluate effectiveness of our proposal, we implement the LTE-D2D standard in a network simulator NS-3. The results are very good in terms of flow-acceptance rate and latency.
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Dates et versions

hal-01865169 , version 1 (31-08-2018)

Identifiants

  • HAL Id : hal-01865169 , version 1

Citer

S. Alwan, I. Fajjari, N. Aitsaadi. Joint Multicast Routing and OFDM Resource Allocation in LTE-D2D 5G Cellular Network. in the 2018 IEEE/IFIP Network Operations and Management Symposium, NOMS 2018, Apr 2018, Taipei, Taiwan. ⟨hal-01865169⟩

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