Achieving capacity and security in wireless communications with lattice codes
File(s)ISTC2016-5pages.pdf (110.11 KB)
Accepted version
Author(s)
Ling, C
Type
Conference Paper
Abstract
Based on lattice Gaussian distributions and ideal
lattices, we present a unified framework of lattice coding to
achieve the channel capacity and secrecy capacity of wireless
channels in the presence of Gaussian noise. The standard additive
white Gaussian-noise (AWGN) channel, block fading channel, and
multi-input multi-output (MIMO) fading channel are considered,
which form a hierarchy of increasingly challenging problems in
coding theory. To achieve channel capacity, we apply Gaussian
shaping to a suitably defined good lattice for channel coding.
To achieve secrecy capacity, we use a secrecy-good lattice nested
with a coding lattice.
lattices, we present a unified framework of lattice coding to
achieve the channel capacity and secrecy capacity of wireless
channels in the presence of Gaussian noise. The standard additive
white Gaussian-noise (AWGN) channel, block fading channel, and
multi-input multi-output (MIMO) fading channel are considered,
which form a hierarchy of increasingly challenging problems in
coding theory. To achieve channel capacity, we apply Gaussian
shaping to a suitably defined good lattice for channel coding.
To achieve secrecy capacity, we use a secrecy-good lattice nested
with a coding lattice.
Date Issued
2016-10-20
Date Acceptance
2016-07-01
Citation
2016
Publisher
IEEE
Copyright Statement
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Huawei Technologies Co. Ltd
Identifier
https://ieeexplore.ieee.org/document/7593099
Grant Number
N/A
Source
International Symposium on Turbo Codes & Iterative Information Processing
Subjects
Science & Technology
Technology
Computer Science, Theory & Methods
Engineering, Electrical & Electronic
Computer Science
Engineering
AWGN CHANNEL
Publication Status
Published
Start Date
2016-09-05
Finish Date
2016-09-09
Coverage Spatial
Brest, France
Date Publish Online
2016-10-20