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Peter W. Wolniansky

dblp:25/2694 · DBLP profile ↗
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8ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none

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

Computer networks · 7

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
5 papers
Physical-layer communications · 93% Cellular and mobile networks · 6% Wireless networking · 1%

Topics — the 15 heaviest of 16, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications
MIMO
0.252003
Correlation analysis based on MIMO channel measurements in an indoor environment · IEEE J. Sel. Areas Commun. 2003
Multiple-input-multiple-output measurements and modeling in Manhattan · IEEE J. Sel. Areas Commun. 2003
Prototype experience for MIMO BLAST over third-generation wireless system · IEEE J. Sel. Areas Commun. 2003
Physical-layer communications › channel modeling › channel characterization
channel measurement
0.132003
Correlation analysis based on MIMO channel measurements in an indoor environment · IEEE J. Sel. Areas Commun. 2003
Multiple-input-multiple-output measurements and modeling in Manhattan · IEEE J. Sel. Areas Commun. 2003
Effect of antenna polarization on the capacity of a multiple element system in an indoor environment · IEEE J. Sel. Areas Commun. 2002
Physical-layer communications › radio propagation
indoor radio propagation
0.122003
Correlation analysis based on MIMO channel measurements in an indoor environment · IEEE J. Sel. Areas Commun. 2003
Effect of antenna polarization on the capacity of a multiple element system in an indoor environment · IEEE J. Sel. Areas Commun. 2002
Physical-layer communications › MIMO › layered space-time architecture
BLAST
0.012003
Prototype experience for MIMO BLAST over third-generation wireless system · IEEE J. Sel. Areas Commun. 2003
Physical-layer communications › channel modeling
channel correlation
0.012003
Correlation analysis based on MIMO channel measurements in an indoor environment · IEEE J. Sel. Areas Commun. 2003
Physical-layer communications › channel modeling
MIMO channel modeling
0.012003
Multiple-input-multiple-output measurements and modeling in Manhattan · IEEE J. Sel. Areas Commun. 2003
Physical-layer communications › signal processing for communications › array signal processing
space-time processing
0.012003
Prototype experience for MIMO BLAST over third-generation wireless system · IEEE J. Sel. Areas Commun. 2003
Physical-layer communications › channel modeling › spatial correlation
spatial correlation modeling
0.012003
Multiple-input-multiple-output measurements and modeling in Manhattan · IEEE J. Sel. Areas Commun. 2003
Cellular and mobile networks › 3g network
UMTS
0.012003
Prototype experience for MIMO BLAST over third-generation wireless system · IEEE J. Sel. Areas Commun. 2003
Physical-layer communications › antenna design
antenna polarization
0.012002
Effect of antenna polarization on the capacity of a multiple element system in an indoor environment · IEEE J. Sel. Areas Commun. 2002
Physical-layer communications › MIMO
spatial multiplexing
0.011999
Simplified processing for high spectral efficiency wireless communication employing multi-element arrays · IEEE J. Sel. Areas Commun. 1999
Physical-layer communications › antenna arrays
antenna array design
0.012003
Multiple-input-multiple-output measurements and modeling in Manhattan · IEEE J. Sel. Areas Commun. 2003
Physical-layer communications › signal detection
multiuser detection
0.012003
Prototype experience for MIMO BLAST over third-generation wireless system · IEEE J. Sel. Areas Commun. 2003
Physical-layer communications
receiver design
0.012003
Prototype experience for MIMO BLAST over third-generation wireless system · IEEE J. Sel. Areas Commun. 2003
Wireless networking
WLAN
0.012002
Effect of antenna polarization on the capacity of a multiple element system in an indoor environment · IEEE J. Sel. Areas Commun. 2002

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

measurement · 0.0correlation matrix modeling · 0.0RAKE receiver · 0.0MIMO channel measurement · 0.0FPGA prototyping · 0.0DSP implementation · 0.0channel measurement · 0.0capacity analysis · 0.0quadrature amplitude modulation · 0.0multiuser detection · 0.0
YearPublicationVenuePosition
2006 Capacity and Rate Performance of MIMO Systems with Channel State Information at the Transmitter
abstract
The capacity advantage of multiple input-multiple output (MIMO) channels lays in the decomposition of the channel into several spatial sub-channels. Knowledge of the channel at the transmitter can further increase the system capacity. This effect has been theoretically demonstrated. Here we illustrate the potential of channel state information (CSI) at the transmitter using actual channel measurements of a system with 4 transmitters and 4 receivers in an indoor environment, under line-of-sight and non line-of-sight conditions, considering both infinite and finite allowable modulation sizes. We show that CSI at the transmitter is more beneficial in the case of low signal to noise ratio and in cases where the channel richness is limited. In terms of achievable spectral efficiency, 60% of the theoretical capacity can be obtained without advanced coding techniques, as long as eigen mode transmission is used, and the performance is similar for all power and rate allocation schemes that we investigate
Persefoni Kyritsi, Donald C. Cox, Reinaldo A. Valenzuela, Peter W. Wolniansky
IEEE Trans. Wirel. Commun.4
2003 Prototype experience for MIMO BLAST over third-generation wireless system
abstract
In this paper, a multiple-input-multiple-output (MIMO) extension for a third-generation (3G) wireless system is described. The integration of MIMO concepts within the existing UMTS standard and the associated space-time RAKE receiver are explained. An analysis is followed by a description of an actual experimental MIMO transmitter and receiver architecture, both realized on digital signal processors (DSPs) and FPGAs within a precommercial OneBTS base station. It uses four transmit and four receive antennas to achieve downlink data rates up to 1 Mb/s per user with a spreading factor of 32 and the UMTS chip rate of 3.84 MHz. Furthermore, different MIMO detectors are evaluated, comparing their performance and complexity. System performance is evaluated through simulations and indoor over-the-air measurements. Capacity and bit-error rate measurement results are presented.
Ali Adjoudani, Eric C. Beck, Andreas Peter Burg, Goran M. Djuknic, Thomas G. Gvoth, David A. Haessig, Salim Manji, Michelle A. Milbrodt, Markus Rupp, Dragan Samardzija, Arnold B. Siegel, Theodore Sizer, Cuong Tran 0002, Susan Walker, Stephen A. Wilkus, Peter W. Wolniansky
IEEE J. Sel. Areas Commun.16
2003 Multiple-input-multiple-output measurements and modeling in Manhattan
abstract
Narrowband multiple-input-multiple-output (MIMO) measurements using 16 transmitters and 16 receivers at 2.11 GHz were carried out in Manhattan. High capacities were found for full, as well as smaller array configurations, all within 80% of the fully scattering channel capacity. Correlation model parameters are derived from data. Spatial MIMO channel capacity statistics are found to be well represented by the separate transmitter and receiver correlation matrices, with a median relative error in capacity of 3%, in contrast with the 18% median relative error observed by assuming the antennas to be uncorrelated. A reduced parameter model, consisting of 4 parameters, has been developed to statistically represent the channel correlation matrices. These correlation matrices are, in turn, used to generate H matrices with capacities that are consistent within a few percent of those measured in New York. The spatial channel model reported allows simulations of H matrices for arbitrary antenna configurations. These channel matrices may be used to test receiver algorithms in system performance studies. These results may also be used for antenna array design, as the decay of mobile antenna correlation with antenna separation has been reported here. An important finding for the base transmitter array was that the antennas were largely uncorrelated even at antenna separations as small as two wavelengths.
Dmitry Chizhik, Jonathan Ling, Peter W. Wolniansky, Reinaldo A. Valenzuela, Nelson Costa, Kris Huber
IEEE J. Sel. Areas Commun.3
2003 Correlation analysis based on MIMO channel measurements in an indoor environment
abstract
Multiple-input-multiple-output (MIMO) systems have the potential to achieve very high capacities, depending on the propagation environment. Capacity increases as signal correlation decreases. We present the measurements of a MIMO system under strong and weak line-of-sight conditions. The system capacity decreases as the distance from the transmitter increases. Indeed the transmitter correlation increases as the distance increases. The receiver correlation is lower than the transmitter correlation under both propagation conditions.
Persefoni Kyritsi, Donald C. Cox, Reinaldo A. Valenzuela, Peter W. Wolniansky
IEEE J. Sel. Areas Commun.4
2002 Spatial and temporal variations of MIMO channels and impacts on capacity
abstract
This paper presents analysis for spatial and temporal variations of multiple-input-multiple-output (MIMO) channels at the mobile. The channel study is based on the narrowband measurements at 2.11 GHz in Manhattan, New York with 16 transmitting antennas and 16 receiving antennas. Doppler spread and angle of arrival (AOA) are derived from the temporal correlation of field components. The results show that the AOA at the mobile is not uniformly distributed. The restricted AOA distribution results in approximately twice the correlation distance and correlation time than the predicted values from the Jakes (1974) model. The measured median coherence time is at least a few seconds for stationary channels, and 90 ms at a mobile pedestrian speed of 3 km/hr. These observations hold for both vertically and horizontally polarized antennas. The measured median RMS angular spread at the mobile is 22.5/spl deg/ for horizontally polarized antennas and 25.5/spl deg/ for vertically polarized antennas.
Hao Xu 0001, Michael J. Gans, Dmitry Chizhik, Jonathan Ling, Peter W. Wolniansky, Reinaldo A. Valenzuela
ICC5
2002 Effect of antenna polarization on the capacity of a multiple element system in an indoor environment
abstract
We analyze the behavior of a multiple element antenna system in an indoor environment based on the measurements taken in the Lucent Bell Labs building in Crawford Hill, NJ, with a system of 12 transmitters and 15 receivers. In particular, we investigate the capacity behavior with respect to the polarization of the transmitting/receiving elements and the distance between the transmitting and the receiving arrays. The analysis of the power rolloff versus distance clearly demonstrates the different propagation characteristics of the horizontally versus the vertically polarized electric fields. Under strong line-of-sight (LOS) conditions (hallway environment), the power of the horizontally polarized waves falls off faster with distance than that of the vertically polarized fields. Also, the cross-polarization coupling is about -15 dB. Under nonline-of-sight (NLOS) conditions (labs), both polarizations display similar rolloff behavior with distance and the cross-polarization coupling is about 0 dB. There is a power loss of at least 15 dB under NLOS conditions relative to LOS conditions. The average received signal power affects the system capacity. In the hallway, horizontally polarized systems achieve lower capacities than their vertically polarized counterparts. Also the achievable capacity in the labs is much lower than that in the hallway, because of the lower average received power. The comparison of single polarization systems to hybrid polarization systems shows that combined polarization systems perform better in terms of achievable capacity. Therefore, there lies an advantage in using both electric field polarizations. However, under strong LOS conditions the channel itself inherently limits the capacity behavior of the system.
Persefoni Kyritsi, Donald C. Cox, Reinaldo A. Valenzuela, Peter W. Wolniansky
IEEE J. Sel. Areas Commun.4
2001 Performance evaluation of the VBLAST algorithm in W-CDMA systems
abstract
We evaluate the performance of the VBLAST (vertical Bell Labs layered space-time) receiver algorithm in multiple-transmitter/multiple-receiver (MTMR) cellular W-CDMA systems. We assume that the VBLAST algorithm is executed on a symbol level (i.e., on the despread received signal), following a conventional bank of matched filters (correlators). Also, we introduce the concept of virtual antennas. Performance of the algorithm in the presence of intra- and inter-cell multiple-access interference (MAI) is evaluated. System capacity is also studied. The observed system is defined based on the UMTS physical layer and corresponding channel models.
Dragan Samardzija, Peter W. Wolniansky, Jonathan Ling
VTC Fall2
1999 Simplified processing for high spectral efficiency wireless communication employing multi-element arrays
abstract
We investigate robust wireless communication in high-scattering propagation environments using multi-element antenna arrays (MEAs) at both transmit and receive sites. A simplified, but highly spectrally efficient space-time communication processing method is presented. The user's bit stream is mapped to a vector of independently modulated equal bit-rate signal components that are simultaneously transmitted in the same band. A detection algorithm similar to multiuser detection is employed to detect the signal components in white Gaussian noise (WGN). For a large number of antennas, a more efficient architecture can offer no more than about 40% more capacity than the simple architecture presented. A testbed that is now being completed operates at 1.9 GHz with up to 16 quadrature amplitude modulation (QAM) transmitters and 16 receive antennas. Under ideal operation at 18 dB signal-to-noise ratio (SNR), using 12 transmit antennas and 16 receive antennas (even with uncoded communication), the theoretical spectral efficiency is 36 bit/s/Hz, whereas the Shannon capacity is 71.1 bit/s/Hz. The 36 bits per vector symbol, which corresponds to over 200 billion constellation points, assumes a 5% block error rate (BLER) for 100 vector symbol bursts.
Gerard J. Foschini, Glenn D. Golden, Reinaldo A. Valenzuela, Peter W. Wolniansky
IEEE J. Sel. Areas Commun.4