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Jay M. Jacobsmeyer

dblp:86/3940 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 1996
—ORCID · none

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

Computer networks · 3 · 3 first-author

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
3 papers
Physical-layer communications · 57% Cellular and mobile networks · 31% Network performance modeling · 6%

Topics — the 11 heaviest of 11, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › multiple access
CDMA systems
0.011996
Congestion Relief on Power-Controlled CDMA Networks · IEEE J. Sel. Areas Commun. 1996
Cellular and mobile networks › power control
power and rate control
0.011996
Congestion Relief on Power-Controlled CDMA Networks · IEEE J. Sel. Areas Commun. 1996
Cellular and mobile networks
power control
0.011996
Congestion Relief on Power-Controlled CDMA Networks · IEEE J. Sel. Areas Commun. 1996
Physical-layer communications › modulation
adaptive modulation
0.021992
Adaptive Trellis-Coded Modulation for Bandlimited Meteor Burst Channels · IEEE J. Sel. Areas Commun. 1992
Message waiting time performance for meteor-burst communication systems · IEEE Trans. Commun. 1989
Physical-layer communications
channel coding
0.011992
Adaptive Trellis-Coded Modulation for Bandlimited Meteor Burst Channels · IEEE J. Sel. Areas Commun. 1992
Physical-layer communications › modulation › coded modulation
trellis-coded modulation
0.011992
Adaptive Trellis-Coded Modulation for Bandlimited Meteor Burst Channels · IEEE J. Sel. Areas Commun. 1992
Network performance modeling
delay analysis
0.011989
Message waiting time performance for meteor-burst communication systems · IEEE Trans. Commun. 1989
Physical-layer communications
modulation
0.011989
Message waiting time performance for meteor-burst communication systems · IEEE Trans. Commun. 1989
Optical networks › routing and wavelength assignment
blocking probability analysis
0.011996
Congestion Relief on Power-Controlled CDMA Networks · IEEE J. Sel. Areas Commun. 1996
Physical-layer communications › channel modeling › propagation channel
meteor burst channel
0.011992
Adaptive Trellis-Coded Modulation for Bandlimited Meteor Burst Channels · IEEE J. Sel. Areas Commun. 1992
Vehicular, aerial and satellite networks
satellite communication
0.011989
Message waiting time performance for meteor-burst communication systems · IEEE Trans. Commun. 1989

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

simulation · 0.0queueing theory · 0.0information theory · 0.0convolutional coding · 0.0probabilistic bounds · 0.0
YearPublicationVenuePosition
1996 Congestion Relief on Power-Controlled CDMA Networks
abstract
A digital cellular radio code-division multiple-access (CDMA) system can only support a finite number of users before the interference plus noise power density, I/sub 0/, received at the cellular base station causes an unacceptable frame-error rate. Once the maximum interference level is reached, new arrivals should be blocked. In a power-controlled CDMA system, the base station can direct mobiles to reduce their power and data rate to reduce interference and allow more users on the system. This approach is employed in TIA IS-95 with respect to the time-varying voice activity on cellular voice channels. We investigate an alternative technique where we adjust the power and data rate of mobile data users to the time-varying interference level to allow more users on a congested system. This scheme was simulated for various proportions of voice and data users and offered traffic levels. Blocking probabilities are reduced in some cases by two orders of magnitude. Message wait time, now a random variable, may exceed the wait time for a constant rate system at high traffic levels. If the cellular carrier has a maximum blocking requirement, an adaptive rate/power system can increase the capacity. For example, a base station that normally supports 26.4 Erlangs offered traffic with 2% blocking can support 33.5 Erlangs with the same blocking probability if adaptive rates and power control are used. Thus, the adaptive rate system can increase the capacity by 27%.
Jay M. Jacobsmeyer
IEEE J. Sel. Areas Commun.1
1992 Adaptive Trellis-Coded Modulation for Bandlimited Meteor Burst Channels
abstract
The throughput performances of three adaptive information rate techniques on the bandlimited meteor burst channel are investigated. Closed-form expressions for throughput are derived based on the channel model commonly used in the literature. The throughput performance is compared to the conventional fixed information rate modem and upper bounds on throughput improvement over the fixed rate modem are derived. It is shown that an adaptive technique that uses trellis-coded modulation (TCM) with three phase-shift keyed (PSK) signal sets can increase throughput over the conventional fixed rate modem by more than a factor of 3. Data from the US Air Force High Latitude Meteor-Scatter Test Bed confirm the superiority of the adaptive TCM technique. A practical implementation is suggested that uses a single rate 1/2 convolutional code for all three PSK signal sets. The use of this single code, versus the three best Ungerboeck codes, results in a throughput loss of less than 2%. An expression for the theoretical information capacity of the bandlimited meteor burst channel is derived. >
Jay M. Jacobsmeyer
IEEE J. Sel. Areas Commun.1
1989 Message waiting time performance for meteor-burst communication systems
abstract
The performance is investigated of the meteor-burst channel in terms of the waiting time required to reliably transmit a message of length N bits. Two modulation techniques are considered. The first is the traditional fixed-rate modulation scheme where the modem operates at a constant bit rate whenever the channel is available for message traffic. The second is an adaptive modulation method where the channel symbol rate varies continuously to match the time-varying signal-to-noise ratio at the receiver. Upper and lower bounds on waiting time for the general case are derived using probabilistic arguments. Novel closed-form expressions for waiting time and optimal bit rate are derived for the fixed-rate modem. Bounds on mean waiting time are derived for the adaptive-symbol-rate modem. It is shown that for fixed-rate modems operating at the optimal bit rate and for adaptive modems operating at a minimum bit rate equal to this rate, the improvement in mean waiting time can never exceed a factor of two.>
Jay M. Jacobsmeyer
IEEE Trans. Commun.1