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07 February 2025
 
  » arxiv » 1508.0140

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Resilient Backhaul Network Design Using Hybrid Radio/Free-Space Optical Technology
Ahmed Douik ; Hayssam Dahrouj ; Tareq Y. Al-Naffouri ; Mohamed-Slim Alouini ;
Date 1 Aug 2015
AbstractThe rapid pace of demand for mobile data services and the limited supply of capacity by the current wireless access networks infrastructure are leading network operators to increase the density of base station deployments, particularly in urban areas, to improve the network performance. This densification, made possible by small-cell deployment, also brings in a novel set of challenges, specifically related to the cost of ownership of which backhaul is of primary concern. The radio-frequency (RF) backhaul provides a scalable and easy to plan and deploy solution, its performance, however, is limited by latency problems. FSO backhaul offers a better overall latency and a higher data rate than the RF backhauls, however, the performance of FSO is sensitive to weather conditions. To combine the advantages of RF backhauls, and FSO backhauls, this paper proposes a cost-efficient backhaul network using the hybrid RF/FSO technology. To ensure a resilient backhaul, a given degree of redundancy is guaranteed to cope with link failure by connecting each node through $K$ link-disjoint paths. Hence, the network planning problem is the one of minimizing the total deployment cost by choosing the appropriate link type, i.e., either hybrid RF/FSO or optical fiber, between each couple of base-stations while guaranteeing $K$ link-disjoint connections, a targeted data rate, and a reliability threshold. Given the complexity of finding the optimal solution, this paper suggests reformulating the problem as a more tractable maximum weight clique problem in the planning graph under a specified realistic assumption about the cost of OF and hybrid RF/FSO links. Simulation results show the cost of the different planning and suggest that the proposed heuristic solution have a close-to-optimal performance for a significant gain in computation complexity.
Source arXiv, 1508.0140
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