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The concept of smart cities emerged few years ago as a new vision for urban
development that aims to integrate multiple information and communication
technology (ICT) solutions in a secure fashion to manage a city’s assets. Modern ICT
infrastructure and e-services should fuel sustainable growth and quality of life,
enabled by a wise and participative management of natural Resources to be ensured
by citizens and government. The need to build smart cities became a requirement that
relies on urban development that should take charge of the new infrastructures for
smart cities (broadband infrastructures, wireless sensor networks, Internet-based
networked applications, open data and open platforms) and provide various smart
services and enablers in various domains including healthcare, energy, education,
environmental management, transportation, mobility and public safety.
標(biāo)簽：
Enablers
Cities
Smart
for
上傳時(shí)間：
2020-05-25
上傳用戶(hù)：shancjb
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Wireless penetration has witnessed explosive growth over the last two decades.
Accordingly, wireless devices have become much denser per unit area, resulting
in an overcrowded usage of wireless Resources. To avoid radio interferences and
packet collisions, wireless stations have to exchange control messages to coordinate
well. The existing wisdoms of conveying control messages could be classified into
three categories: explicit, implicit, or hybrid.
標(biāo)簽：
Transmission
Attachment
Networks
Wireless
in
上傳時(shí)間：
2020-05-26
上傳用戶(hù)：shancjb
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Cognitive radio has emerged as a promising technology for maximizing the utiliza-
tion of the limited radio bandwidth while accommodating the increasing amount of
services and applications in wireless networks. A cognitive radio (CR) transceiver
is able to adapt to the dynamic radio environment and the network parameters to
maximize the utilization of the limited radio Resources while providing flexibility in
wireless access. The key features of a CR transceiver are awareness of the radio envi-
ronment (in terms of spectrum usage, power spectral density of transmitted/received
signals, wireless protocol signaling) and intelligence.
標(biāo)簽：
Cognitive
Wireless
Network
上傳時(shí)間：
2020-05-26
上傳用戶(hù)：shancjb
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The General Packet Radio Service (GPRS) allows an end user to send and
receive data in packet transfer mode within a public land mobile network
(PLMN) without using a permanent connection between the mobile station
(MS) and the external network during data transfer. This way, GPRS opti-
mizes the use of network and radio Resources (RRs) since, unlike circuit-
switched mode, no connection between the MS and the external network is
established when there is no data flow in progress. Thus, this RR optimiza-
tion makes it possible for the operator to offer more attractive fees.
標(biāo)簽：
Mobile
EDGE
上傳時(shí)間：
2020-05-27
上傳用戶(hù)：shancjb
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There is a phenomenal burst of research activities in mobile cloud
computing systems, which extends cloud computing functions, ser-
vices, and results to the world of future mobile communications
applications, and the paradigm of cloud computing and virtualization
to mobile networks. Mobile applications demand greater Resources
and improved interactivity for better user experience.
標(biāo)簽：
Mobile Cloud Computing Systems
上傳時(shí)間：
2020-05-30
上傳用戶(hù)：shancjb
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Theartofcomputationofelectromagnetic(EM)problemshasgrownexponentially
for three decades due to the availability of powerful computer Resources. In spite of
this, the EM community has suffered without a suitable text on the computational
techniques commonly used in solving EM-related problems. Although there have
been monographs on one particular technique or another, the monographs are written
for the experts rather than students. Only a few texts cover the major techniques and
dothatinamannersuitableforclassroomuse.Itseemsexpertsinthisareaarefamiliar
with one or a few techniques but not many seem to be familiar with all the common
techniques. This text attempts to fill that gap.
標(biāo)簽：
Electromagnetics
Techniques
Numerical
in
上傳時(shí)間：
2020-05-31
上傳用戶(hù)：shancjb
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Rapid growth of wireless communication services in recent decades has created
a huge demand of radio spectrum. Spectrum scarcity and utilization inefficiency
limit the development of wireless networks. Cognitive radio is a promising tech-
nology that allows secondary users to reuse the underutilized licensed spectrum of
primary users. The major challenge for spectrum sharing is to achieve high spectrum
efficiency while making non-intrusive access to the licensed bands. This requires in-
formation of availability and quality of channel Resources at secondary transmitters,
however, is difficult to be obtained perfectly in practice.
標(biāo)簽：
Opportunistic
Spectrum
Sharing
上傳時(shí)間：
2020-05-31
上傳用戶(hù)：shancjb
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In a cellular communication system, a service area or a geographical
region is divided into a number of cells, and each cell is served by an
infrastructure element called the base station through a radio interface.
Management of radio interface related Resources is a critical design
component in cellular communications.
標(biāo)簽：
Management
Resource
Radio
上傳時(shí)間：
2020-06-01
上傳用戶(hù)：shancjb
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The radio spectrum is one of the most precious Resources which must be managed
to ensure efficient access for the wireless communication services which use it. The
allocation and management of spectrum are administered by the regulatory
authorities. Traditionally, spectrum allocation is carried out exclusively of its use in
large geographic areas and assigning frequency bands to specific users or service
providers is proved to be inefficient. Recently, substantial knowledge about
dynamic spectrum access scheme has been accumulated to enable efficient spectrum
sharing.
標(biāo)簽：
Management
Spectrum
Access
and
上傳時(shí)間：
2020-06-01
上傳用戶(hù)：shancjb
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Once upon a time, cellular wireless networks provided two basic services: voice
telephony and low-rate text messaging. Users in the network were separated
by orthogonal multiple access schemes, and cells by generous frequency reuse
patterns [1]. Since then, the proliferation of wireless services, fierce competition,
andthe emergenceof new service classes such as wireless data and multimediahave
resulted in an ever increasing pressure on network operators to use Resources in a
moreefficient manner.In the contextof wireless networks,two of the most common
Resources are power and spectrum—and, due to regulations, these Resources are
typically scarce. Hence, in contrast to wired networks, overprovisioning is not
feasible in wireless networks.
標(biāo)簽：
Maximization
Nonconvex
Wireless
Utility
Systems
in
上傳時(shí)間：
2020-06-01
上傳用戶(hù)：shancjb
