9,722 research outputs found
Analysis of Statistical QoS in Half Duplex and Full Duplex Dense Heterogeneous Cellular Networks
Statistical QoS provisioning as an important performance metric in analyzing
next generation mobile cellular network, aka 5G, is investigated. In this
context, by quantifying the performance in terms of the effective capacity, we
introduce a lower bound for the system performance that facilitates an
efficient analysis. Based on the proposed lower bound, which is mainly built on
a per resource block analysis, we build a basic mathematical framework to
analyze effective capacity in an ultra dense heterogeneous cellular network. We
use our proposed scalable approach to give insights about the possible
enhancements of the statistical QoS experienced by the end users if
heterogeneous cellular networks migrate from a conventional half duplex to an
imperfect full duplex mode of operation. Numerical results and analysis are
provided, where the network is modeled as a Matern point process. The results
demonstrate the accuracy and computational efficiency of the proposed scheme,
especially in large scale wireless systems. Moreover, the minimum level of self
interference cancellation for the full duplex system to start outperforming its
half duplex counterpart is investigated.Comment: arXiv admin note: substantial text overlap with arXiv:1604.0058
Statistical QoS Analysis of Full Duplex and Half Duplex Heterogeneous Cellular Networks
In this paper, statistical Quality of Service provisioning in next generation
heterogeneous mobile cellular networks is investigated. To this aim, any active
entity of the cellular network is regarded as a queuing system, whose
statistical QoS requirements depend on the specific application. In this
context, by quantifying the performance in terms of effective capacity, we
introduce a lower bound for the system performance that facilitates an
efficient analysis. We exploit this analytical framework to give insights about
the possible improvement of the statistical QoS experienced by the users if the
current heterogeneous cellular network architecture migrates from a Half Duplex
to a Full Duplex mode of operation. Numerical results and analysis are
provided, where the network is modeled as a Mat\'ern point processes with a
hard core distance. The results demonstrate the accuracy and computational
efficiency of the proposed scheme, especially in large scale wireless systems
Minimization of Handoff Failure Probability for Next-Generation Wireless Systems
During the past few years, advances in mobile communication theory have
enabled the development and deployment of different wireless technologies,
complementary to each other. Hence, their integration can realize a unified
wireless system that has the best features of the individual networks.
Next-Generation Wireless Systems (NGWS) integrate different wireless systems,
each of which is optimized for some specific services and coverage area to
provide ubiquitous communications to the mobile users. In this paper, we
propose to enhance the handoff performance of mobile IP in wireless IP networks
by reducing the false handoff probability in the NGWS handoff management
protocol. Based on the information of false handoff probability, we analyze its
effect on mobile speed and handoff signaling delay.Comment: 16 Page
Interworking Architectures in Heterogeneous Wireless Networks: An Algorithmic Overview
The scarce availability of spectrum and the proliferation of
smartphones, social networking applications, online gaming
etc., mobile network operators (MNOs) are faced with an
exponential growth in packet switched data requirements on
their networks. Haven invested in legacy systems (such as
HSPA, WCDMA, WiMAX, Cdma2000, LTE, etc.) that have
hitherto withstood the current and imminent data usage
demand, future and projected usage surpass the capabilities of the evolution of these individual technologies. Hence, a more critical, cost-effective and flexible approach to provide ubiquitous coverage for the user using available spectrum is of high demand. Heterogeneous Networks make use of these legacy systems by allowing users to connect to the best network available and most importantly seamlessly handover active sessions amidst them. This paper presents a survey of interworking architectures between IMT 2000 candidate networks that employ the use of IEFT protocols such as MIP, mSCTP, HIP, MOBIKE, IKEV2 and SIP etc. to bring about this much needed capacity
Fast Cell Discovery in mm-wave 5G Networks with Context Information
The exploitation of mm-wave bands is one of the key-enabler for 5G mobile
radio networks. However, the introduction of mm-wave technologies in cellular
networks is not straightforward due to harsh propagation conditions that limit
the mm-wave access availability. Mm-wave technologies require high-gain antenna
systems to compensate for high path loss and limited power. As a consequence,
directional transmissions must be used for cell discovery and synchronization
processes: this can lead to a non-negligible access delay caused by the
exploration of the cell area with multiple transmissions along different
directions.
The integration of mm-wave technologies and conventional wireless access
networks with the objective of speeding up the cell search process requires new
5G network architectural solutions. Such architectures introduce a functional
split between C-plane and U-plane, thereby guaranteeing the availability of a
reliable signaling channel through conventional wireless technologies that
provides the opportunity to collect useful context information from the network
edge.
In this article, we leverage the context information related to user
positions to improve the directional cell discovery process. We investigate
fundamental trade-offs of this process and the effects of the context
information accuracy on the overall system performance. We also cope with
obstacle obstructions in the cell area and propose an approach based on a
geo-located context database where information gathered over time is stored to
guide future searches. Analytic models and numerical results are provided to
validate proposed strategies.Comment: 14 pages, submitted to IEEE Transaction on Mobile Computin
Optimizing MDS Codes for Caching at the Edge
In this paper we investigate the problem of optimal MDS-encoded cache
placement at the wireless edge to minimize the backhaul rate in heterogeneous
networks. We derive the backhaul rate performance of any caching scheme based
on file splitting and MDS encoding and we formulate the optimal caching scheme
as a convex optimization problem. We then thoroughly investigate the
performance of this optimal scheme for an important heterogeneous network
scenario. We compare it to several other caching strategies and we analyze the
influence of the system parameters, such as the popularity and size of the
library files and the capabilities of the small-cell base stations, on the
overall performance of our optimal caching strategy. Our results show that the
careful placement of MDS-encoded content in caches at the wireless edge leads
to a significant decrease of the load of the network backhaul and hence to a
considerable performance enhancement of the network.Comment: to appear in Globecom 201
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