With the rapid growth in the number of wireless applications, services and devices,
using a single wireless technology such as a second generation (2G) and third gener-
ation (3G) wireless system would not be efficient to deliver high speed data rate and
quality-of-service (QoS) support to mobile users in a seamless way. The next genera-
tion wireless systems (also sometimes referred to as Fourth generation (4G) systems)
are being devised with the vision of heterogeneity in which a mobile user/device will
be able to connect to multiple wireless networks (e.g., WLAN, cellular, WMAN)
simultaneously.
The first Third Generation Partnership Project (3GPP) Wideband Code Division
Multiple Access (WCDMA) networks were launched during 2002. By the end of 2005
there were 100 open WCDMA networks and a total of over 150 operators having
frequency licenses for WCDMA operation. Currently, the WCDMA networks are
deployedinUniversalMobileTelecommunicationsSystem(UMTS)bandaround2GHz
in Europe and Asia including Japan and Korea. WCDMA in America is deployed in the
existing 850 and 1900 spectrum allocations while the new 3G band at 1700/2100 is
expected to be available in the near future. 3GPP has defined the WCDMA operation
also for several additional bands, which are expected to be taken into use during the
coming years.
In this book, we study the interference cancellation and detection problem in
multiantenna multi-user scenario using precoders. The goal is to utilize multiple
antennas to cancel the interference without sacrificing the diversity or the com-
plexity of the system.
To meet the future demand for huge traffic volume of wireless data service, the research on the fifth generation
(5G) mobile communication systems has been undertaken in recent years. It is expected that the spectral and energy
efficiencies in 5G mobile communication systems should be ten-fold higher than the ones in the fourth generation
(4G) mobile communication systems. Therefore, it is important to further exploit the potential of spatial multiplexing
of multiple antennas. In the last twenty years, multiple-input multiple-output (MIMO) antenna techniques have been
considered as the key techniques to increase the capacity of wireless communication systems. When a large-scale
antenna array (which is also called massive MIMO) is equipped in a base-station, or a large number of distributed
antennas (which is also called large-scale distributed MIMO) are deployed, the spectral and energy efficiencies can
be further improved by using spatial domain multiple access. This paper provides an overview of massive MIMO
and large-scale distributed MIMO systems, including spectral efficiency analysis, channel state information (CSI)
acquisition, wireless transmission technology, and resource allocation.
In order to improve the spectral efficiency in wireless communications, multiple
antennas are employed at both transmitter and receiver sides, where the resulting
system is referred to as the multiple-input multiple-output (MIMO) system. In
MIMO systems, it is usually requiredto detect signals jointly as multiple signals are
transmitted through multiple signal paths between the transmitter and the receiver.
This joint detection becomes the MIMO detection.
Microwave radio network design is a subset of activities that constitute
the overall transmission network design. Transmission networks are
sometimes called transport networks, access networks, or connectivity
networks. For many wireless carriers, microwave is becoming a popu-
lar preference over wireline (leased lines) transport for many reasons,
especially as microwave radio equipment costs decrease and installation
becomes simpler. Low monthly operating costs can undercut those of
typical single (and especially multiple) T1/E1 expenses, proving it to be
more economical over the long term—usually two to four years. Network
operators also like the fact that they can own and control microwave
radio networks instead of relying on other service providers for network
components.
Use of multiple antennas at both ends of wireless links is the result of the
natural progression of more than four decades of evolution of adaptive
antenna technology. Recent advances have demonstrated that multiple-
input-multiple-output (MIMO) wireless systems can achieve impressive
increases in overall system performance.
Since the principle of multi-carrier code division multiple access (MC-CDMA) was
simultaneously proposed by Khaled Fazel et al. and Nathan Yee et al. at the IEEE
International Symposium on Personal, Indoor and Mobile Radio Communications
(PIMRC) in the year 1993, multi-carrier spread spectrum (MC-SS) has rapidly become
one of the most wide spread independent research topics on the field of mobile radio
communications. Therefore, the International Workshop on Multi-Carrier Spread
Spectrum (MC-SS) was initiated in the year 1997. Multi-carrier and spread spectrum
systems with their generic air interface and adaptive technologies are considered as
potential candidates to fulfill the requirements of next generation mobile communications
systems.
At recent major international conferences on wireless communications,
there have been several sessions on beyond third generation (3G) or fourth
generation(4G)mobilecommunicationssystems,wheremodulation/demod-
ulation and multiplexing/multiple access schemes related to multicarrier
techniques have drawn a lot of attention. We often met at the conference
venuesandrealizedthatnobookcoveredthebasicsofmulticarriertechniques
to recent applications aiming at the 4G systems. Therefore, we decided to
write a book on multicarrier techniques for 4G mobile communications
systems.
The family of recent wireless standards included the optional employment of Multiple-Input
Multiple-Output(MIMO)techniques.This was motivatedby the observationaccordingto the
classic Shannon–Hartley law that the achievable channel capacity increases logarithmically
with the transmit power. In contrast, the MIMO capacity increases linearly with the number
of transmit antennas, provided that the number of receive antennas is equal to the number
of transmit antennas. With the further proviso that the total transmit power is increased in
proportion to the number of transmit antennas, a linear capacity increase is achieved upon
increasing the transmit power, which justifies the spectacular success of MIMO systems.
