NDLI: Energy and information in antenna synthesis

Content Provider	IEEE Xplore Digital Library
Author	Migliore, M.D.
Copyright Year	2008
Description	Author affiliation: DAEIMI, Univ. of Cassino, Cassino (Migliore, M.D.)
Abstract	The development of MIMO antennas, has pushed the attention toward the antenna synthesis in complex environments. Broadly speaking, MIMO antennas follow an "informational goal", e.g. maximization of the bit rate, while in classic antenna synthesis method we have an "energetic goal", based on the distribution of the radiated power density in the space. Consequently, classic and MIMO antennas follow a different synthesis philosophy, "energy driven" the former, "information driven" the latter. A starting point to develop a more general theory on antenna synthesis including MIMO antennas is to clarify the differences of these two philosophies from an electromagnetic point of view. The NDF of the field represents the amount of ldquomoneyrdquo available to a radiating system. The radiating system can choose to spend its NDF budget in two different way, to obtain a given density power distribution in the space, or to send statistically independent information. Classic antennas and MIMO antennas differ basically due to the different use the available NDF. Maximization of the energy on the receiving antenna does not assure maximization of the information throughput of the communication system. This is due to the fact that it is more advantageous to use the available degrees of freedom to transmit statistically independent information than to maximize the received energy. Only if the NDF of the field on the observation manifold covered by the receiving antenna is one, the ldquoenergeticrdquo and ldquoinformationalrdquo point of view give the same result.
Starting Page	1
Ending Page	4
File Size	1344843
Page Count	4
File Format	PDF
ISBN	9781424420414
DOI	10.1109/APS.2008.4619407
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Antennas MIMO Receiving antennas Antennas and propagation Transmitting antennas Channel capacity Aperture antennas
Content Type	Text
Resource Type	Article

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

Intrinsic capacity of the MIMO wireless channel

Propagation channel and MIMO capacity in arched tunnels

Wireless MIMO channel capacity analysis based on multiple spatial diversity for indoor propagation

MIMO channel capacity for fixed wireless: measurements and models

On capacity of Rician MIMO channels

Channel capacity maximization in MIMO antenna system by genetic algorithm

The effect of horizontal array orientation on MIMO channel capacity

MIMO channel measurement campaign in subway tunnels

Modelling of a non-isotropic indoor MIMO channel

Energy and information in antenna synthesis

Similar Documents

Intrinsic capacity of the MIMO wireless channel

Propagation channel and MIMO capacity in arched tunnels

Wireless MIMO channel capacity analysis based on multiple spatial diversity for indoor propagation

MIMO channel capacity for fixed wireless: measurements and models

On capacity of Rician MIMO channels

Channel capacity maximization in MIMO antenna system by genetic algorithm

The effect of horizontal array orientation on MIMO channel capacity

MIMO channel measurement campaign in subway tunnels

Modelling of a non-isotropic indoor MIMO channel

Energy and information in antenna synthesis