32 research outputs found
Optimized LTE Data Transmission Procedures for IoT: Device Side Energy Consumption Analysis
The efficient deployment of Internet of Things (IoT) over cellular networks,
such as Long Term Evolution (LTE) or the next generation 5G, entails several
challenges. For massive IoT, reducing the energy consumption on the device side
becomes essential. One of the main characteristics of massive IoT is small data
transmissions. To improve the support of them, the 3GPP has included two novel
optimizations in LTE: one of them based on the Control Plane (CP), and the
other on the User Plane (UP). In this paper, we analyze the average energy
consumption per data packet using these two optimizations compared to
conventional LTE Service Request procedure. We propose an analytical model to
calculate the energy consumption for each procedure based on a Markov chain. In
the considered scenario, for large and small Inter-Arrival Times (IATs), the
results of the three procedures are similar. While for medium IATs CP reduces
the energy consumption per packet up to 87% due to its connection release
optimization
NarrowBand IoT Data Transmission Procedures for Massive Machine Type Communications
Large-scale deployments of massive Machine Type Communications (mMTC)
involve several challenges on cellular networks. To address the challenges of mMTC, or
more generally, Internet of Things (IoT), the 3rd Generation Partnership Project has
developed NarrowBand IoT (NB-IoT) as part of Release 13. NB-IoT is designed to
provide better indoor coverage, support of a massive number of low-throughput devices,
with relaxed delay requirements, and lower-energy consumption. NB-IoT reuses Long
Term Evolution functionality with simplifications and optimizations. Particularly for small
data transmissions, NB-IoT specifies two procedures to reduce the required signaling:
one of them based on the Control Plane (CP), and the other on the User Plane (UP). In
this work, we provide an overview of these procedures as well as an evaluation of their
performance. The results of the energy consumption show both optimizations achieve
a battery lifetime extension of more than 2 years for a large range in the considered
cases, and up to 8 years for CP with good coverage. In terms of cell capacity relative to
SR, CP achieves gains from 26% to 224%, and UP ranges from 36% to 165%. The
comparison of CP and UP optimizations yields similar results, except for some specific
configurations.This work is partially supported by the Spanish
Ministry of Economy and Competitiveness and
the European Regional Development Fund (Projects TIN2013-46223-P, and TEC2016-76795-
C6-4-R), and the Spanish Ministry of Education,
Culture and Sport (FPU Grant 13/04833)
Reduced M2M Signaling Communications in 3GPP LTE and Future 5G Cellular Networks
The increase of machine-to-machine (M2M) communications
over cellular networks imposes new requirements
and challenges that current networks have to handle with. Many
M2M UEs (User Equipment) may send small infrequent data,
which suppose a challenge for cellular networks not optimized
for such traffic, where signaling load could increase significantly
and cause congestion over the network. This paper evaluates
current proposals to manage small transmissions over the Long
Term Evolution (LTE) cellular network. We also propose a new
Random Access-based Small IP packet Transmission (RASIPT)
procedure for M2M UEs small data transmissions. Its main
feature is data transfer without establishment of Radio Resource
Control (RRC) connection to reduce signaling overhead. In
our design, we assume a Software Defined Networking-based
architecture for 5G system. When compared with current LTE
scheme, our procedure reduces significantly the signaling load
generated by M2M UEs small transmissions.This work is partially supported by the Spanish Ministry
of Economy and Competitiveness (project TIN2013-
46223-P), FEDER and the Spanish Ministry of Education,
Culture and Sport (FPU grant 13/04833)
Modeling and Dimensioning of a Virtualized MME for 5G Mobile Networks
Network function virtualization is considered one of
the key technologies for developing future mobile networks. In this
paper, we propose a theoretical framework to evaluate the performance of a Long-Term Evolution (LTE) virtualized mobility management entity (vMME) hosted in a data center. This theoretical
framework consists of 1) a queuing network to model the vMME
in a data center and 2) analytic expressions to estimate the overall
mean system delay and the signaling workload to be processed by
the vMME. We validate our mathematical model by simulation.
One direct use of the proposed model is vMME dimensioning, i.e.,
to compute the number of vMME processing instances to provide
a target system delay given the number of users in the system.
Additionally, the paper includes a scalability analysis of the system. In our study, we consider the billing model and a data center
setup of Amazon Elastic Compute Cloud service and estimate the
processing time of MME processing instances for different LTE
control procedures experimentally. For the considered setup, our
results show that the vMME is scalable for signaling workloads
up to 37 000 LTE control procedures per second for a target mean
system delay of 1 ms. The system design and database performance
assumed imposes this limit in the system scalability.This work was supported in part by the Spanish Ministry of Economy
and Competitiveness and the European Regional Development Fund (project
TIN2013-46223-P) and in part by the Spanish Ministry of Education, Culture,
and Sport under FPU Grant 13/04833
Analytic Analysis of Narrowband IoT Coverage Enhancement Approaches
The introduction of Narrowband Internet of Things (NB-IoT) as a cellular IoT
technology aims to support massive Machine-Type Communications applications.
These applications are characterized by massive connections from a large number
of low-complexity and low-power devices. One of the goals of NB-IoT is to
improve coverage extension beyond existing cellular technologies. In order to
do that, NB-IoT introduces transmission repetitions and different bandwidth
allocation configurations in uplink. These new transmission approaches yield
many transmission options in uplink. In this paper, we propose analytical
expressions that describe the influence of these new approaches in the
transmission. Our analysis is based on the Shannon theorem. The transmission is
studied in terms of the required Signal to Noise Ratio, bandwidth utilization,
and energy per transmitted bit. Additionally, we propose an uplink link
adaptation algorithm that contemplates these new transmission approaches. The
conducted evaluation summarizes the influence of these approaches. Furthermore,
we present the resulting uplink link adaptation from our proposed algorithm
sweeping the device's coverage.Comment: Accepted in the 2018 Global IoT Summit (GIoTS) conferenc
GWAS-Identified Variants for Obesity Do Not Influence the Risk of Developing Multiple Myeloma: A Population-Based Study and Meta-Analysis
Genetic variants; Multiple myeloma; ObesityVariantes genéticas; Mieloma múltiple; ObesidadVariants genètiques; Mieloma múltiple; ObesitatMultiple myeloma (MM) is an incurable disease characterized by the presence of malignant plasma cells in the bone marrow that secrete specific monoclonal immunoglobulins into the blood. Obesity has been associated with the risk of developing solid and hematological cancers, but its role as a risk factor for MM needs to be further explored. Here, we evaluated whether 32 genome-wide association study (GWAS)-identified variants for obesity were associated with the risk of MM in 4189 German subjects from the German Multiple Myeloma Group (GMMG) cohort (2121 MM cases and 2068 controls) and 1293 Spanish subjects (206 MM cases and 1087 controls). Results were then validated through meta-analysis with data from the UKBiobank (554 MM cases and 402,714 controls) and FinnGen cohorts (914 MM cases and 248,695 controls). Finally, we evaluated the correlation of these single nucleotide polymorphisms (SNPs) with cQTL data, serum inflammatory proteins, steroid hormones, and absolute numbers of blood-derived cell populations (n = 520). The meta-analysis of the four European cohorts showed no effect of obesity-related variants on the risk of developing MM. We only found a very modest association of the POC5rs2112347G and ADCY3rs11676272G alleles with MM risk that did not remain significant after correction for multiple testing (per-allele OR = 1.08, p = 0.0083 and per-allele OR = 1.06, p = 0.046). No correlation between these SNPs and functional data was found, which confirms that obesity-related variants do not influence MM risk.This work was supported by grants from the Instituto de Salud Carlos III (Madrid, Spain; PI17/02256 and PI20/01845), from the Consejería de Salud y Familia de la Junta de Andalucía (PY20/01282) and from the Dietmar Hopp Foundation and the German Ministry of Education and Science (BMBF: CLIOMMICS (01ZX1309))
Handover Implementation in a 5G SDN-based Mobile Network Architecture
This work is partially supported by the Spanish Ministry
of Economy and Competitiveness and the European Regional
Development Fund (project TIN2013-46223-P), and the Spanish
Ministry of Education, Culture and Sport (FPU grant
13/04833).Requirements for 5G mobile networks includes a
higher flexibility, scalability, cost effectiveness and energy efficiency.
Towards these goals, Software Defined Networking (SDN)
and Network Functions Virtualization have been adopted in
recent proposals for future mobile networks architectures because
they are considered critical technologies for 5G. In this paper,
we propose an X2-based handover implementation in an SDNbased
and partially virtualized LTE architecture. Moreover, the
architecture considered operates at link level, which provides
lower latency and higher scalability. In our implementation, we
use MPLS tunnels for user plane instead of GTP-U protocol,
which introduces a significant overhead. To verify the correct
operation of our system, we developed a simulator. It implements
the messages exchange and processing of the primary network
entities. Using this tool we measured the handover preparation
and completion times, whose estimated values were roughly 6.94
ms and 8.31 ms, respectively, according to our experimental
setup. These latencies meet the expected requirements concerning
control plane delay budgets for 5G networks.This work is partially supported by the Spanish Ministry
of Economy and Competitiveness and the European Regional Development
Fund (project TIN2013-46223-P)Spanish Ministry of Education,
Culture and Sport (FPU grant 13/04833
Performance Modeling of Softwarized Network Services Based on Queuing Theory with Experimental Validation
Network Functions Virtualization facilitates the automation of the scaling of softwarized network services (SNSs).
However, the realization of such a scenario requires a way to
determine the needed amount of resources so that the SNSs performance requisites are met for a given workload. This problem is
known as resource dimensioning, and it can be efficiently tackled
by performance modeling. In this vein, this paper describes an
analytical model based on an open queuing network of G/G/m
queues to evaluate the response time of SNSs. We validate our
model experimentally for a virtualized Mobility Management
Entity (vMME) with a three-tiered architecture running on
a testbed that resembles a typical data center virtualization
environment. We detail the description of our experimental
setup and procedures. We solve our resulting queueing network
by using the Queueing Networks Analyzer (QNA), Jackson’s
networks, and Mean Value Analysis methodologies, and compare
them in terms of estimation error. Results show that, for medium
and high workloads, the QNA method achieves less than half of
error compared to the standard techniques. For low workloads,
the three methods produce an error lower than 10%. Finally,
we show the usefulness of the model for performing the dynamic
provisioning of the vMME experimentally.This work has been partially funded by the H2020 research
and innovation project 5G-CLARITY (Grant No. 871428)National research
project 5G-City: TEC2016-76795-C6-4-RSpanish Ministry of
Education, Culture and Sport (FPU Grant 13/04833). We would also like to
thank the reviewers for their valuable feedback to enhance the quality
and contribution of this wor