WG7051 issue #1

anisesecretaryMobile - Wireless

Dec 12, 2013 (3 years and 5 days ago)

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WG7051 issue #1



Title: Additional Terms and Definition



Source: GSI
은세영



Comment:
3
장에

terms and definitions


있기는

하나

SW


관련된

용어들만

정의가

되어있는데

문서

초반에

문서에

나오는

모든

약어가

정리가

되어

있으면

어떨가

하는

의견입니다
.



Resolution

3. Term and Definition


3.1. Definition

1) Beamforming Network (BFN)

: BFNs

combine signals from small antenna
s

into a pattern that is more directional than
each antenna by itself because of array factor.

2
)
Common Object Request Broker
Architecture (CORBA)

:
An OMG distributed computing platform specification that is independent of
implementation languages.

3
)
Component

:
A component can always be considered an autonomous unit within a system or
subsystem. It has one or more ports, and
its internals are hidden and inaccessible other
than as provided by its interfaces. A component represents a modular part of a system
that encapsulates its contents and whose manifestation is replaceable within its
environment. A component exposes a set of

ports that define the component
specification in terms of provided and required interfaces. As such, a component serves
as a type, whose conformance is defined by these provided and required interfaces
(encompassing both their static as well as dynamic se
mantics).

4
)
Facility

:
The realization of certain functionality through a set of well defined interfaces.

5
) Attributes

:

A characteristic

or

feature

that

someone or
something

has.

6
)
Interface Definition Language (IDL)

:
An OMG and ISO standard language for specifying interfaces and associated data
structures.

7
)
Model

:
A formal specification of the function, structure and/or behavior of an application or
system.

8
)
Model Driven Architecture (MDA)

:
An approach to IT sy
stem specification that separates the specification of functionality
from the specification of the implementation of that functionality on a specific
technology platform.

9
)
Platform

:
A set of subsystems/technologies that provide a coherent set of
functionality through
interfaces and specified usage patterns that any subsystem that depends on the platform
can use without concern for the details of how the functionality provided by the platform
is implemented.

10
)
Platform Independent Model (PIM)

:
A model of a subsystem that contains no information specific to the platform, or the
technology that is used to realize it.

11
)
Platform Specific Model (PSM)

:
A model of a subsystem that includes information about the specific technology that is
used in
the realization of it on a specific platform, and hence possibly contains elements
that are specific to the platform.

12
)
Unified Modeling Language (UML)

:
An OMG standard language for specifying the structure and behavior of systems. The
standard define
s an abstract syntax and a graphical concrete syntax.

13
)
UML Profile

:
A standardized set of extensions and constraints that tailors UML to particular use.

14
)
Extensible Markup Language

(XML)

: A

widely
-
used computer language for creating and designing

pages on the

World Wide
Web, and for defining other languages with more specialized purposes.

15
) Frame Error Rate (FER)

:
Ratio of data received with errors to total data received.
It is u
sed to determine the
quality of a signal connection. If the FER is

too high (too many errors), the connection
may be dropped.

16
) Direction of Arrival (DOA)

: T
he direction from which usually a

propagating

wave

arrives at a point, where usually a set of
sensors are located.


WG7051 issue #
2



Title: Description for
MU
-
MIMO/Cooperative MIMO



Source: GSI
은세영



Comment:
introduction


Smart antenna


분류

언급되었고

실제

SW
architecture
에도

반영이

되어있는데요

최근

LTE
등에서

언급되고

있는

분류

(Single User MIMO, Multi User MIMO, Cooperative MIMO

)


의미가

없는지요
?



Resolution


1.4
Multiple Input Multiple Output

(MIMO)

In radio, multiple
-
input and multiple
-
output (MIMO) is the use of multiple antennas at both the
transmitter and receiver to improve communication performance. It is one of several forms of
smart antenna technology.
MIMO technology has attracted att
ention in wireless communications,
because it offers significant increases in data throughput and link range without additional
bandwidth or transmit power. It achieves this by higher spectral efficiency and link reliability or
diversity
. MIMO can be
sub
-
divided into two categories, SU
-
MIMO or MU
-
MIMO.

There are two different types of MIMO schemes: one uses spatial multiplexing to
enhance data rate for a given b
andwidth (thus, the spectral efficiency) and the other uses
space time coding using diversity combining techniques to combat fading. In the
multiplexing scheme, data is serial to parallel converted and transmitted simultaneously
over multiple antenna eleme
nts. The receiver also uses multiple antenna elements to
receive the signal and applies a maximum likelihood (ML) algorithm to retrieve the
simultaneously transmitted symbols. One key assumption in this case is that the
propagation environment has to provi
de rich scattering; in other words, the propagation
channel has to include a large number of scattering objects that will generate
independent fading at the antenna elements. In the case of space
-
time coding, symbols
to be transmitted are coded over multip
le antennas and symbol time durations in such a
way that the receiver can easily regenerate the transmitted signals by doing a linear
processing on received signal. The space
-
time codes rely on the orthogonality present in
the coded symbols for proper dete
ction, and additionally they require the fading to be
independent between the antenna elements for best performance results.


1.4.1 SU
-
MIMO

Single
-
user

MIMO (
SU
-
MIMO
)

communication promises large gains for both channel
capacity and reliability, essentially

via the use of the space
-
time codes (diversity gain
oriented) combined with the spatial multiplexed transmission (rate maximization
oriented). In such a single
-
user view of MIMO systems, the extra spatial degrees of
freedom (DoF) brought by the use of mul
tiple antennas are exploited to expand the
dimensions available for signal processing and detection, thus acting mainly as a physical
(PHY) layer performance booster. In this approach, the link layer protocols for multiple
accesses (uplink and downlink) in
directly reap the performance benefits of MIMO
antennas in the form of greater per
-
user rates or more reliable channel quality despite
not requiring full awareness of the MIMO capability.


1.4.2 MU
-
MIMO

M
ulti
-
user MIMO (MU
-
MIMO) is a set of advanced MIMO

technologies that exploit the availability
of multiple independent radio terminals in order to enhance the communication capabilities of
each individual terminal
.
Multi
-
user MIMO algorithms are developed to enhance MIMO systems
when the number of users, or

connections, numbers greater than one
.
The situation with MU
-
MIMO

techniques is radically different

as these techniques imply the use of spatial sharing of the
channel by the

users, thus deeply affecting the design of the multiple access protocol. In spat
ial

multiple access, the resulting multiuser interference is handled by the multiple

antennas, which, in
addition to providing per
-
link diversity, also give the DoF necessary

for spatial separation of the
users
. The

most substantial cost is due to the fact

that MU
-
MIMO

requires channel state
information at

transmitter (CSIT) to properly serve the spatially multiplexed

users. CSIT, while not
essential in SU
-
MIMO communication

channels, is of critical importance to most downlink
multiuser

precoding techniques
. The need for CSIT feedback places a significant

burden on uplink
capacity in most systems, exacerbated

in systems with wideband communication or high mobility
.


1.4.3 Cooperative MIMO

C
ooperative
MIMO is a technique useful for future cellular networks which consider
wireless mesh networking or wireless ad
-
hoc networking. In wireless ad
-
hoc networks,
multiple transmit nodes communicate with multiple receive nodes. To optimize the
capacity of Ad
-
hoc
channels, MIMO concepts and techniques can be applied to multiple
links between the transmit and receive node clusters. Contrasted to multiple antennas in
a single
-
user MIMO transceiver, participating nodes and their antennas are located in a
distributed m
anner. So, to achieve the capacity of this network, techniques to manage
distributed radio resources are essential. Strategies such as autonomous interference
cognition, node cooperation, and network coding with dirty paper coding (DPC) have
been suggested

as solutions to optimize wireless network capacity.

WG7051 issue #
3



Title:
Additional property for supporting CSI feedback



Source:
HYU
현승헌



Comment:
MU
-
MIMO, Cooperative MIMO


다운링크

빔포밍에

필요한

CSI
feedback


지원하기

위한

property
들이

요구됨
.



Resolution


2) Attributes

<<
ConfigureProperty>>CSIFeedBack: ComplexSeuquece

The
CSIFeedBack

attribute represents

the channel state information which is used for
adaptive transmission such as transmit beamforming/p
recoding

in MIMO and
Beamforming system.