Performance study of LTE experimental testbed using OpenAirInterface

Yeoh, Chun Yeow; Mokhtar, Mohammad Harris; Rahman, Abdul Aziz Abdul; Samingan, A.K.

doi:10.1109/icact.2016.7423493

Cited by 17 publications

(18 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We consider a single Intel Haswell i7-4770 3.40GHz CPU core as our unit of CPU capacity (reference core, RC). From our own measurements and those reported in [22], we estimate that, in relative terms, f 3 is responsible for 20% of the total consumption of a software-based LTE BS, f 2 consumes 15%, and f 1 up to 65%. From [5], we calculate the (absolute) computing needs of a software-based LTE BS.…”

Section: A Methodology and Experiments Setupmentioning

confidence: 77%

FluidRAN: Optimized vRAN/MEC Orchestration

García‐Saavedra¹,

Costa‐Pérez²,

Leith

et al. 2018

IEEE INFOCOM 2018 - IEEE Conference on Computer Communications

View full text Add to dashboard Cite

Virtualized Radio Access Network (vRAN) architectures constitute a promising solution for the densification needs of 5G networks, as they decouple Base Stations (BUs) functions from Radio Units (RUs) allowing the processing power to be pooled at cost-efficient Central Units (CUs). vRAN facilitates the flexible function relocation (split selection), and therefore enables splits with less stringent network requirements compared to state-of-the-art fully Centralized (C-RAN) systems. In this paper, we study the important and challenging vRAN design problem. We propose a novel modeling approach and a rigorous analytical framework, FluidRAN, that minimizes RAN costs by jointly selecting the splits and the RUs-CUs routing paths. We also consider the increasingly relevant scenario where the RAN needs to support multi-access edge computing (MEC) services, that naturally favor distributed RAN (D-RAN) architectures. Our framework provides a joint vRAN/MEC solution that minimizes operational costs while satisfying the MEC needs. We follow a data-driven evaluation method, using topologies of 3 operational networks. Our results reveal that (i) pure C-RAN is rarely a feasible upgrade solution for existing infrastructure, (ii) FluidRAN achieves significant cost savings compared to D-RAN systems, and (iii) MEC can increase substantially the operator's cost as it pushes vRAN function placement back to RUs.

show abstract

Section: A Methodology and Experiments Setupmentioning

confidence: 77%

FluidRAN: Optimized vRAN/MEC Orchestration

García‐Saavedra¹,

Costa‐Pérez²,

Leith

et al. 2018

IEEE INFOCOM 2018 - IEEE Conference on Computer Communications

View full text Add to dashboard Cite

show abstract

“…For instance, a RRH with two antennas, allocated bandwidth of 20 MHz and 15 bits per sample (i.e., r w = 16/15 and r c = 10/8), requires FH with 2.45 Gb/s capacity. This stringent requirement, along with the high deployment cost of fiber optics makes C-RAN architecture unfeasible in some scenarios [22], [27]. The delay introduced by the FH between the BBUs pool and RRH b is henceforth denoted by T f h b .…”

Section: E Fronthaul Characterizationmentioning

confidence: 99%

“…This permits increased efficiency in inter-cell coordination for RRM functions like the coordination of interference management, load balancing and CAC. However, not all functional splits will be adopted in real deployments comprising densely deployed gNBs, due to the implementation cost of the 5G FH [22], [27].…”

Section: G Functional Splitsmentioning

confidence: 99%

“…Therefore, in our study we adopt an intermediate functional split, Radio Link Control (RLC) -Medium Access Control (MAC), which places upper layer functions and RLC in the CU whereas the MAC and PHY layer are in the DU. This split allows resource sharing benefits for both storage and processor utilization and it has a low relative implementation cost [22], [27], thus making it eligible for future deployment. For gNBs in our scenario we choose specific values for T f h b and R bh b based on [3], [4].…”

Section: G Functional Splitsmentioning

confidence: 99%

“…In this study we adopt the values of [4], [27] to define the transport network bandwidth and delay for each BS (i.e., SC, RRH and gNB). The functional split where the BBU is totally centralized in the cloud corresponds to C-RAN (i.e., C-RAN RRH with T f h b = 250µs ≈ 0 ms and R f h b = 2457.6 Mb/s) whereas the split where all the functionalities are in the DU corresponds to the traditional D-RAN (i.e., LTE-A SC with T bh b = 30 ms and R bh b = 151 Mb/s) [4].…”

Section: A Simulation Scenario and Parametersmentioning

confidence: 99%

See 2 more Smart Citations

NetSliC: Base Station Agnostic Framework for Network SliCing

Tseliou

Adelantado

Verikoukis

2019

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

In this paper, we propose the Base Station (BS) Agnostic Framework for Network SliCing, NetSliC, that creates network slices for the Radio Access Network (RAN) based on the service requirements. Current cellular RAN is a heterogeneous complex architecture, comprising legacy distributed Small Cells (SCs), Radio Remote Radio Heads (RRHs) connected to a centralized Base Band Unit (BBU), and future 5G NodeBs (gNBs) leveraging virtualization with different functional splits, serving distinct traffic profiles. Thus, NetSliC is a common language that manages and controls this heterogeneous infrastructure. We consider several criteria for creating network slices in this particularly interesting future scenario, which are applicable to all different types of access and transport interfaces of the distinct BSs. The goal of our work is to propose NetSliC, a framework that creates wireless slices in a cellular RAN independently of the type of BS (i.e., BS agnostic) and on the same time achieves desirable service capability across the various traffic profiles.

show abstract