4,452 research outputs found
Design guidelines for spatial modulation
A new class of low-complexity, yet energyefficient Multiple-Input Multiple-Output (MIMO) transmission techniques, namely the family of Spatial Modulation (SM) aided MIMOs (SM-MIMO) has emerged. These systems are capable of exploiting the spatial dimensions (i.e. the antenna indices) as an additional dimension invoked for transmitting information, apart from the traditional Amplitude and Phase Modulation (APM). SM is capable of efficiently operating in diverse MIMO configurations in the context of future communication systems. It constitutes a promising transmission candidate for large-scale MIMO design and for the indoor optical wireless communication whilst relying on a single-Radio Frequency (RF) chain. Moreover, SM may also be viewed as an entirely new hybrid modulation scheme, which is still in its infancy. This paper aims for providing a general survey of the SM design framework as well as of its intrinsic limits. In particular, we focus our attention on the associated transceiver design, on spatial constellation optimization, on link adaptation techniques, on distributed/ cooperative protocol design issues, and on their meritorious variants
Principles of Physical Layer Security in Multiuser Wireless Networks: A Survey
This paper provides a comprehensive review of the domain of physical layer
security in multiuser wireless networks. The essential premise of
physical-layer security is to enable the exchange of confidential messages over
a wireless medium in the presence of unauthorized eavesdroppers without relying
on higher-layer encryption. This can be achieved primarily in two ways: without
the need for a secret key by intelligently designing transmit coding
strategies, or by exploiting the wireless communication medium to develop
secret keys over public channels. The survey begins with an overview of the
foundations dating back to the pioneering work of Shannon and Wyner on
information-theoretic security. We then describe the evolution of secure
transmission strategies from point-to-point channels to multiple-antenna
systems, followed by generalizations to multiuser broadcast, multiple-access,
interference, and relay networks. Secret-key generation and establishment
protocols based on physical layer mechanisms are subsequently covered.
Approaches for secrecy based on channel coding design are then examined, along
with a description of inter-disciplinary approaches based on game theory and
stochastic geometry. The associated problem of physical-layer message
authentication is also introduced briefly. The survey concludes with
observations on potential research directions in this area.Comment: 23 pages, 10 figures, 303 refs. arXiv admin note: text overlap with
arXiv:1303.1609 by other authors. IEEE Communications Surveys and Tutorials,
201
Linear Capacity Scaling in Wireless Networks: Beyond Physical Limits?
We investigate the role of cooperation in wireless networks subject to a
spatial degrees of freedom limitation. To address the worst case scenario, we
consider a free-space line-of-sight type environment with no scattering and no
fading. We identify three qualitatively different operating regimes that are
determined by how the area of the network A, normalized with respect to the
wavelength lambda, compares to the number of users n. In networks with
sqrt{A}/lambda < sqrt{n}, the limitation in spatial degrees of freedom does not
allow to achieve a capacity scaling better than sqrt{n} and this performance
can be readily achieved by multi-hopping. This result has been recently shown
by Franceschetti et al. However, for networks with sqrt{A}/lambda > sqrt{n},
the number of available degrees of freedom is min(n, sqrt{A}/lambda), larger
that what can be achieved by multi-hopping. We show that the optimal capacity
scaling in this regime is achieved by hierarchical cooperation. In particular,
in networks with sqrt{A}/lambda> n, hierarchical cooperation can achieve linear
scaling.Comment: 10 pages, 5 figures, in Proc. of IEEE Information Theory and
Applications Workshop, Feb. 201
Hierarchical Cooperation Achieves Optimal Capacity Scaling in Ad Hoc Networks
n source and destination pairs randomly located in an area want to
communicate with each other. Signals transmitted from one user to another at
distance r apart are subject to a power loss of r^{-alpha}, as well as a random
phase. We identify the scaling laws of the information theoretic capacity of
the network. In the case of dense networks, where the area is fixed and the
density of nodes increasing, we show that the total capacity of the network
scales linearly with n. This improves on the best known achievability result of
n^{2/3} of Aeron and Saligrama, 2006. In the case of extended networks, where
the density of nodes is fixed and the area increasing linearly with n, we show
that this capacity scales as n^{2-alpha/2} for 2<alpha<3 and sqrt{n} for
alpha>3. The best known earlier result (Xie and Kumar 2006) identified the
scaling law for alpha > 4. Thus, much better scaling than multihop can be
achieved in dense networks, as well as in extended networks with low
attenuation. The performance gain is achieved by intelligent node cooperation
and distributed MIMO communication. The key ingredient is a hierarchical and
digital architecture for nodal exchange of information for realizing the
cooperation.Comment: 56 pages, 16 figures, submitted to IEEE Transactions on Information
Theor
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