1,125 research outputs found
Number field lattices achieve Gaussian and Rayleigh channel capacity within a constant gap
This paper proves that a family of number field lattice codes simultaneously
achieves a constant gap to capacity in Rayleigh fast fading and Gaussian
channels.
The key property in the proof is the existence of infinite towers of Hilbert
class fields with bounded root discriminant. The gap to capacity of the
proposed families is determined by the root discriminant.
The comparison between the Gaussian and fading case reveals that in Rayleigh
fading channels the normalized minimum product distance plays an analogous role
to the Hermite invariant in Gaussian channels.Comment: Will be submitted to ISIT. Comments, suggestions for references etc.
are warmly welcome. Edit:Appendix adde
Almost universal codes for fading wiretap channels
We consider a fading wiretap channel model where the transmitter has only
statistical channel state information, and the legitimate receiver and
eavesdropper have perfect channel state information. We propose a sequence of
non-random lattice codes which achieve strong secrecy and semantic security
over ergodic fading channels. The construction is almost universal in the sense
that it achieves the same constant gap to secrecy capacity over Gaussian and
ergodic fading models.Comment: 5 pages, to be submitted to IEEE International Symposium on
Information Theory (ISIT) 201
Integer-Forcing Linear Receivers
Linear receivers are often used to reduce the implementation complexity of
multiple-antenna systems. In a traditional linear receiver architecture, the
receive antennas are used to separate out the codewords sent by each transmit
antenna, which can then be decoded individually. Although easy to implement,
this approach can be highly suboptimal when the channel matrix is near
singular. This paper develops a new linear receiver architecture that uses the
receive antennas to create an effective channel matrix with integer-valued
entries. Rather than attempting to recover transmitted codewords directly, the
decoder recovers integer combinations of the codewords according to the entries
of the effective channel matrix. The codewords are all generated using the same
linear code which guarantees that these integer combinations are themselves
codewords. Provided that the effective channel is full rank, these integer
combinations can then be digitally solved for the original codewords. This
paper focuses on the special case where there is no coding across transmit
antennas and no channel state information at the transmitter(s), which
corresponds either to a multi-user uplink scenario or to single-user V-BLAST
encoding. In this setting, the proposed integer-forcing linear receiver
significantly outperforms conventional linear architectures such as the
zero-forcing and linear MMSE receiver. In the high SNR regime, the proposed
receiver attains the optimal diversity-multiplexing tradeoff for the standard
MIMO channel with no coding across transmit antennas. It is further shown that
in an extended MIMO model with interference, the integer-forcing linear
receiver achieves the optimal generalized degrees-of-freedom.Comment: 40 pages, 16 figures, to appear in the IEEE Transactions on
Information Theor
Polar codes and polar lattices for independent fading channels
In this paper, we design polar codes and polar lattices for i.i.d. fading channels when the channel state information is only available to the receiver. For the binary input case, we propose a new design of polar codes through single-stage polarization to achieve the ergodic capacity. For the non-binary input case, polar codes are further extended to polar lattices to achieve the egodic Poltyrev capacity, i.e., the capacity without power limit. When the power constraint is taken into consideration, we show that polar lattices with lattice Gaussian shaping achieve the egodic capacity of fading channels. The coding and shaping are both explicit, and the overall complexity of encoding and decoding is O(N log2 N)
Division algebra codes achieve MIMO block fading channel capacity within a constant gap
This work addresses the question of achieving capacity with lattice codes in
multi-antenna block fading channels when the number of fading blocks tends to
infinity. In contrast to the standard approach in the literature which employs
random lattice ensembles, the existence results in this paper are derived from
number theory. It is shown that a multiblock construction based on division
algebras achieves rates within a constant gap from block fading capacity both
under maximum likelihood decoding and naive lattice decoding. First the gap to
capacity is shown to depend on the discriminant of the chosen division algebra;
then class field theory is applied to build families of algebras with small
discriminants. The key element in the construction is the choice of a sequence
of division algebras whose centers are number fields with small root
discriminants.Comment: Submitted to ISIT 201
Full Diversity Unitary Precoded Integer-Forcing
We consider a point-to-point flat-fading MIMO channel with channel state
information known both at transmitter and receiver. At the transmitter side, a
lattice coding scheme is employed at each antenna to map information symbols to
independent lattice codewords drawn from the same codebook. Each lattice
codeword is then multiplied by a unitary precoding matrix and sent
through the channel. At the receiver side, an integer-forcing (IF) linear
receiver is employed. We denote this scheme as unitary precoded integer-forcing
(UPIF). We show that UPIF can achieve full-diversity under a constraint based
on the shortest vector of a lattice generated by the precoding matrix . This constraint and a simpler version of that provide design criteria for
two types of full-diversity UPIF. Type I uses a unitary precoder that adapts at
each channel realization. Type II uses a unitary precoder, which remains fixed
for all channel realizations. We then verify our results by computer
simulations in , and MIMO using different QAM
constellations. We finally show that the proposed Type II UPIF outperform the
MIMO precoding X-codes at high data rates.Comment: 12 pages, 8 figures, to appear in IEEE-TW
Algebraic lattices achieve the capacity of the ergodic fading channel
In this work we show that algebraic lattices con- structed from error-correcting codes achieve the ergodic capacity of the fading channel. The main ingredients for our construction are a generalized version of the Minkowski-Hlawka theorem and shaping techniques based on the lattice Gaussian distribution. The structure of the ring of integers in a number field plays an important role in the proposed construction. In the case of independent and identically distributed fadings, the lattices considered exhibit full diversity and an exponential decay of the probability of error with respect to the blocklength
Cooperative Compute-and-Forward
We examine the benefits of user cooperation under compute-and-forward. Much
like in network coding, receivers in a compute-and-forward network recover
finite-field linear combinations of transmitters' messages. Recovery is enabled
by linear codes: transmitters map messages to a linear codebook, and receivers
attempt to decode the incoming superposition of signals to an integer
combination of codewords. However, the achievable computation rates are low if
channel gains do not correspond to a suitable linear combination. In response
to this challenge, we propose a cooperative approach to compute-and-forward. We
devise a lattice-coding approach to block Markov encoding with which we
construct a decode-and-forward style computation strategy. Transmitters
broadcast lattice codewords, decode each other's messages, and then
cooperatively transmit resolution information to aid receivers in decoding the
integer combinations. Using our strategy, we show that cooperation offers a
significant improvement both in the achievable computation rate and in the
diversity-multiplexing tradeoff.Comment: submitted to IEEE Transactions on Information Theor
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