Multi-path Routing Based QoS-aware Fairness Backhaul-Access Scheduling in mmWave UDN

Yao, Yuwei; Tian, Hui; Nie, Gaofeng; Wu, Hao; Jin, Jin

doi:10.1109/pimrc.2018.8580734

Cited by 6 publications

(1 citation statement)

References 11 publications

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“…In this area, the attention is mainly devoted to wireless backhauling at mmWave frequencies, which is a promising solution for small cells. The focus is on multi-hop transmissions, whose goal is to increase system throughput jointly optimizing resource allocation and capacity-aware routing [26][27][28][29][30]. Routing in a wireless SDN (i.e., not a backhaul network) is investigated in [31], where a modified shortest-widest path algorithm is proposed.…”

Section: Related Literaturementioning

confidence: 99%

SDN-Based Routing for Backhauling in Ultra-Dense Networks

Marabissi

Fantacci

Simoncini

2019

JSAN

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Ultra-Dense Network (UDN) deployment is considered a key element to achieve the requested capacity in future fifth-generation (5G) mobile networks. Backhaul networks in UDNs are formed by heterogeneous links with multi-hop connections and must handle massive traffic. Backhauling in future 5G networks may represent the capacity bottleneck. Therefore, there is the need for efficient and flexible routing schemes able to handle the dynamism of the traffic load in capacity-limited networks. Toward this goal, the emerging Software-Defined Network (SDN) paradigm provides an efficient solution, transferring the routing operation from the data plane switches to a central controller, thus achieving more flexibility, efficiency, and faster convergence time in comparison to conventional networks. This paper proposes and investigates an SDN-approach for an efficient routing in a capacity-limited backhaul network that carries data and control traffic of a heterogeneous UDN. The routing algorithm is centralized in the SDN controller and two different types of traffic flow are considered: data and control plane coordination traffic. The goal is to reduce or even to avoid the amount of traffic that the backhaul network is not able to support, distributing in a fair way the eventual lack of bandwidth among different access points. Simulation results show that with the considered approach the performance significantly improves, especially when there is an excess of traffic load in the network. Moreover, thanks to the SDN-based design, the network can reconfigure the traffic routing depending on the changing conditions.

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Section: Related Literaturementioning

confidence: 99%

SDN-Based Routing for Backhauling in Ultra-Dense Networks

Marabissi

Fantacci

Simoncini

2019

JSAN

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Nonlinear Forwarding Strategy for Firefly Ultra Dense Networks With mmWave Fronthaul Links

et al. 2021

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We consider the uplink of firefly ultra dense networks which combine the promising features of ultra dense deployment and centralized processing. In these networks, a large number of remote radio units which we denote as firefly nodes (FNs) are spatially distributed over an area. The mobile devices (MDs) in the coverage area are simultaneously connected via sub-6 GHz radio frequency links to all FNs. Unlike the cloud radio access network (C-RAN) architecture, in firefly ultra dense networks, the FNs forward the MDs' data through multi-hop millimeter-wave (mmWave) links to one or multiple root nodes since the coverage radius of each mmWave link is limited. These root nodes then forward the data via optical fiber links further to a central unit (CU), where the MDs' signals are decoded. The amount of data that is received at each FN is potentially huge, and hence, efficient signal processing is needed at each FN before the received signals can be forwarded to other FNs. Therefore, we propose a nonlinear processing strategy, which quantizes the received signals at each FN. In particular, we formulate an optimization problem for a local design strategy for the nonlinear forwarding at the FNs, and present an optimal solution by exploiting strong duality and using the Lagrangian method to convert the optimization problem into an unconstrained problem via its dual formulation. A closed-form solution for the primal variables and a bisection algorithm for finding the optimal dual variables are presented. Moreover, based on the cut-set bound, we develop an upper bound on the achievable sum rate of the considered firefly network. The proposed nonlinear forwarding strategy is shown to outperform a benchmark linear forwarding strategy and to approach the performance upper bound in relevant transmit power regimes at the expense of a higher computational complexity. Our results reveal that having more root nodes in the topology improves the performance of linear and nonlinear forwarding but requires additional optical fiber links to the CU.INDEX TERMS Cloud radio access network (C-RAN), millimeter wave (mmWave), multi-hop system, nonlinear forwarding, ultra dense network (UDN).

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Impact of Limited Hop Count on Connectivity of Millimeter Wave Networks

Ibrahim¹,

Hamouda²

2020

GLOBECOM 2020 - 2020 IEEE Global Communications Conference

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Multi-path Routing Based QoS-aware Fairness Backhaul-Access Scheduling in mmWave UDN

Cited by 6 publications

References 11 publications

SDN-Based Routing for Backhauling in Ultra-Dense Networks

SDN-Based Routing for Backhauling in Ultra-Dense Networks

Nonlinear Forwarding Strategy for Firefly Ultra Dense Networks With mmWave Fronthaul Links

Impact of Limited Hop Count on Connectivity of Millimeter Wave Networks

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