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John A. Asenstorfer

dblp:60/10936 · DBLP profile ↗
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5ranked-venue papers
0as first author
0since 2021 · last 2001
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 3

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
2 papers
Physical-layer communications · 100%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications
code-division multiple access
0.021999
Iterative multiuser interference reduction: turbo CDMA · IEEE Trans. Commun. 1999
Iterative multiuser detection for CDMA with FEC: near-single-user performance · IEEE Trans. Commun. 1998
Physical-layer communications › interference suppression
multiuser interference suppression
0.011999
Iterative multiuser interference reduction: turbo CDMA · IEEE Trans. Commun. 1999
Physical-layer communications
channel coding
0.011998
Iterative multiuser detection for CDMA with FEC: near-single-user performance · IEEE Trans. Commun. 1998
Physical-layer communications › signal detection › multiuser detection
iterative multiuser detection
0.011998
Iterative multiuser detection for CDMA with FEC: near-single-user performance · IEEE Trans. Commun. 1998
Physical-layer communications › signal detection
multiuser detection
0.011998
Iterative multiuser detection for CDMA with FEC: near-single-user performance · IEEE Trans. Commun. 1998
Physical-layer communications › channel coding › error control coding › concatenated codes
turbo codes
0.011998
Iterative multiuser detection for CDMA with FEC: near-single-user performance · IEEE Trans. Commun. 1998
Physical-layer communications › channel coding
error control coding
0.011999
Iterative multiuser interference reduction: turbo CDMA · IEEE Trans. Commun. 1999
Physical-layer communications › channel coding › decoding algorithms › iterative decoding
turbo decoding
0.011999
Iterative multiuser interference reduction: turbo CDMA · IEEE Trans. Commun. 1999

Methods — techniques the papers use, named apart from their topics

iterative decoding · 0.0serial turbo decoding · 0.0maximum a posteriori estimation · 0.0
YearPublicationVenuePosition
2001 Modelling service time distribution in cellular networks using phase-type service distributions
abstract
Third generation mobile communication networks are designed to provide a variety of high data rate services with higher quality of service (QoS) than second-generation systems. Handover becomes one of the major problems in such a mobile environment as it is of utmost importance to provide a higher guarantee that the users are able to continue their service during the entire length of the transmission, without it being blocked during the handover or loss of quality or data. Careful dimensioning of the network and the underlying teletraffic analysis plays a major role in determining the various grade of service (GoS) parameters that service providers can provide at various network loads. The channel holding time of a cell is one of the major parameters that needs to be accurately modelled in the teletraffic analysis. This paper focuses on using phase-type distributions of generalised Erlang form to model channel holding time in a mobile environment. We also present the quasi-birth-death process, which characterises the queuing models with generalized Erlang service and exponential inter-arrival distributions. Further we investigate the use of channels exclusively reserved for handover users to improve the handover performance.
Aruna Jayasuriya, John A. Asenstorfer
ICC3
1999 Iterative multiuser interference reduction: turbo CDMA
abstract
We view the asynchronous random code division multiple-access (CDMA) channel as a time-varying convolutional code. We study the case where the users encode their data, and, therefore, the single user transmitters and the CDMA channel appear as the concatenation of two coding systems. At the receiver we employ serial turbo decoding strategies. Unlike conventional turbo codes where both the inner and outer code may be selected, in our case, the inner code is due to the CDMA channel which we assume to be random. Nevertheless, the decoding system resembles the decoder of a serial turbo code and single-user performance is obtained even for numbers of users approaching the spreading code length.
Paul D. Alexander, Mark C. Reed, John A. Asenstorfer, Christian Schlegel
IEEE Trans. Commun.3
1998 Performance of multi-carrier CDMA with iterative detection for a Doppler shift channel in a LEO mobile-satellite communications environment
abstract
In this paper we consider a matrix algebraic approach to derive the coded multi-carrier CDMA (MC-CDMA) system model for a Doppler shift channel. We derive the effects of Doppler shift in a MC-CDMA system for low earth orbit (LEO) mobile-satellite communications and show the similarity of a MC-CDMA channel model under Doppler shift with that of the asynchronous DS-CDMA channel model. We therefore take advantage of a recently proposed technique that combines iterative decoding and interference cancellation in asynchronous DS-CDMA to reduce the multiuser interference and thereby improve the performance of the Doppler shift channel. We show that the performance approaches single user performance even for moderate signal to noise ratio.
Mohammad S. Akhter, John A. Asenstorfer
PIMRC2
1998 Iterative multiuser detection for CDMA with FEC: near-single-user performance
abstract
This paper introduces an iterative multiuser receiver for direct sequence code-division multiple access (DS-CDMA) with forward error control (FEC) coding. The receiver is derived from the maximum a posteriori (MAP) criterion for the joint received signal, but uses only single-user decoders. Iterations of the system are used to improve performance, with dramatic effects. Single-user turbo code decoders are utilized as the FEC system and a complexity study is presented. Simulation results show that the performance approaches single-user performance even for moderate signal-to-noise ratios.
Mark C. Reed, Christian Schlegel, Paul D. Alexander, John A. Asenstorfer
IEEE Trans. Commun.4
1997 Near single user performance using iterative multi-user detection for CDMA with turbo-code decoders
abstract
This paper discusses a code-division multiple access (CDMA) iterative multi-user receiver with forward error control (FEC) decoding. The maximum a-posteriori probability (MAP) criteria is used to derive the receiver. The decoding is done using a turbo-code decoder with modifications which are discussed. Iterations of the system are used to attain large performance improvements over conventional systems.
Mark C. Reed, Paul D. Alexander, John A. Asenstorfer, Christian Schlegel
PIMRC3