Traffic and Mobility Management in Networks of Femtocells

Ferragut, Jaime; Mangues‐Bafalluy, Josep; Nunez-Martinez, Jose; Zdarsky, Frank A.

doi:10.1007/s11036-012-0396-9

Cited by 18 publications

(19 citation statements)

References 7 publications

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“…An important processing load reduction in the MME may be achieved through direct cell interaction. In [14] a PG procedure that forwards PG messages from cell to cell is proposed. This messages are sent through the X2 interface [15], which has been defined in 3GPP as a logical link to support direct interaction among cells.…”

Section: Introductionmentioning

confidence: 99%

Local Anchor Based Location Management Schemes for Small Cells in HetNets

Pacheco-Paramo

Akyildiz

Casares‐Giner

2016

IEEE Trans. on Mobile Comput.

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Section: Introductionmentioning

confidence: 99%

Local Anchor Based Location Management Schemes for Small Cells in HetNets

Pacheco-Paramo

Akyildiz

Casares‐Giner

2016

IEEE Trans. on Mobile Comput.

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“…The main challenge is to provide cost-effective and dynamic TNL solutions for dense and semi-planned SC deployments. An approach to decrease costs and augment the dynamicity at the TNL is the creation of a wireless mesh network [1] amongst 10 SCs to carry control and data plane traffic to/from the core network [2].…”

Section: Introductionmentioning

confidence: 99%

Experimental evaluation of self-organized backpressure routing in a wireless mesh backhaul of small cells

2015

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Small cells (SC) are low-power base stations designed to cope with the anticipated huge traffic growth of mobile communications. These increasing capacity requirements require the corresponding backhaul capacity to transport traffic from/to the core network. Since it is unlikely that fiber reaches every SC, a wireless mesh backhaul amongst SCs is expected to become popular. These low-cost deployments require to balance resource consumption amongst SCs, however, current routing protocols were not designed to fulfill this requirement.To tackle this challenge, we presented and developed with ns-3 a self-organized backpressure routing protocol (BP), designed to make the most out of the backhaul resources. This paper provides the evaluation of BP exploiting built in ns-3 emulation features to allow rapid prototyping under real-world conditions and through controlled ns-3 simulations. Through a novel evaluation methodology based on ns-3 emulation, we evaluate BP in a 12 SC indoor wireless mesh backhaul testbed under different wireless link rates and topologies, showing Packet Delivery Ratio (PDR) gains of up to 50% with respect to shortest path (SP). Through simulations, we show BP scalability properties with both the size of the backhaul and the number of backhaul radios per SC. Results in single-and multi-radio deployments show TCP traffic gains with BP of up to 79% and 95% ✩ Fully documented templates are available in the elsarticle package on CTAN.compared to SP in terms of throughput and latency, respectively. 65 the ns-3 simulator [8] provides emulation capabilities for evaluating network protocols in real testbeds [13]. Figure 2(a) illustrates the main architecture of a node (in this case a SC) running ns-3 emulation. The ns-3 system allows executing ns-3 IP stacks over real physical devices. In particular, the Emu-NetDevice class provides the interface to send/receive packets to/from the real 70 physical device underneath through a raw socket. The EmuNetDevice lying on

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“…Such densification entails several challenges, both at the mobile network layer (MNL) and at the underlying transport network layer (TNL). As for the MNL, networks of small cells (NoS) [1] confine control and data plane traffic to the local environment. In this way, the core network (e.g., the Evolved Packet Core, or EPC, for LTE networks) only receives a small percentage of traffic, which results in more scalable deployments.…”

Section: Introductionmentioning

confidence: 99%

Anycast Backpressure Routing: Scalable Mobile Backhaul for Dense Small Cell Deployments

2013

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Dense small cell (SC) deployments pose new architectural and transport level requirements. It is expected that they will require local multi-hop wireless backhauls in which some SCs with high capacity links towards the core act as aggregation gateways. To enable scalable deployments, there is the need of routing schemes able to handle dynamicity coming not only from increasing traffic demands and varying wireless link quality, but also from incremental gateway deployment. This letter proposes Anycast Backpressure (AB), a practical distributed anycast routing protocol designed to scale with the number of gateways and to exploit path and gateway diversity. The distinguishing feature of AB is that under increasing traffic demands, it opportunistically exploits uncongested gateways. To distribute traffic among the gateways, AB solely relies on 1-hop neighborhood queue backlog and geographic information. Ns-3 simulations show that, compared to state-of-the-art single-path and multi-path multi-gateway schemes, AB results in up to 40% gains in aggregated throughput and 99% reduction in latency for the evaluated scenarios.

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Traffic and Mobility Management in Networks of Femtocells

Cited by 18 publications

References 7 publications

Local Anchor Based Location Management Schemes for Small Cells in HetNets

Local Anchor Based Location Management Schemes for Small Cells in HetNets

Experimental evaluation of self-organized backpressure routing in a wireless mesh backhaul of small cells

Anycast Backpressure Routing: Scalable Mobile Backhaul for Dense Small Cell Deployments

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