NDLI: Constellation Design for Memoryless Phase Noise Channels

Content Provider	IEEE Xplore Digital Library
Author	Kayhan, F. Montorsi, G.
Copyright Year	2002
Abstract	In this paper, we optimize the constellation sets to be used in communication systems affected by phase noise. The main objective is to find the constellation which maximizes the channel mutual information under given power constraints. For any given constellation, the average mutual information (AMI) and the pragmatic average mutual information (PAMI) of the channel are calculated approximately, assuming that both the additive noise and phase noise are memoryless. Then, a simulated annealing algorithm is used to optimize the constellation. When the objective function is the PAMI, the proposed algorithm jointly optimizes the constellation and the binary labeling. We focus on constellations with 8, 16, 64 and 256 signals. The performances of the optimized constellations are compared with conventional constellations showing considerable gains in all system scenarios. In particular, it is shown that the optimized constellations are much more robust with respect to the changes in the phase noise characteristics than the phase shift keying (PSK) modulation and quadrature amplitude modulation (QAM).
Starting Page	2874
Ending Page	2883
Page Count	10
File Size	491306
File Format	PDF
ISSN	15361276
Volume Number	13
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Phase noise Optimization Signal to noise ratio Labeling Cooling Linear programming Schedules BICM Constellation design phase noise channels simulated annealing pragmatic capacity
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Constellation design for channels affected by phase noise

Joint Signal-Labeling Optimization for Pragmatic Capacity under Peak-Power Constraint

Coded Modulation with Signal Space Diversity

Capacity-Approaching Signal Constellations for the Additive Exponential Noise Channel

The noncoherent rician fading Channel-part I: structure of the capacity-achieving input

Non-Equiprobable APSK Constellation Labeling Design for BICM Systems

Constellation Design for the Noncoherent MIMO Rayleigh-Fading Channel at General SNR

Interference channel sum rate optimization on the Grassmann manifold

On joint optimization of link rate assignment and transmission scheduling in wireless mesh networks

Constellation Design for Memoryless Phase Noise Channels

Similar Documents

Constellation design for channels affected by phase noise

Joint Signal-Labeling Optimization for Pragmatic Capacity under Peak-Power Constraint

Coded Modulation with Signal Space Diversity

Capacity-Approaching Signal Constellations for the Additive Exponential Noise Channel

The noncoherent rician fading Channel-part I: structure of the capacity-achieving input

Non-Equiprobable APSK Constellation Labeling Design for BICM Systems

Constellation Design for the Noncoherent MIMO Rayleigh-Fading Channel at General SNR

Interference channel sum rate optimization on the Grassmann manifold

On joint optimization of link rate assignment and transmission scheduling in wireless mesh networks

Constellation Design for Memoryless Phase Noise Channels