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Sam P. Alex

dblp:50/7529 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

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

Computer networks · 2Graphics, computer vision, multimedia, augmented reality and games · 1

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
1 paper
Physical-layer communications · 100%
Theoretical computer science
1 paper
Coding theory · 50% Information theory · 50%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications
channel estimation
0.212014
Comments on "Soft Decision Metric Generation for QAM With Channel Estimation Error" · IEEE Trans. Commun. 2014
Physical-layer communications › channel estimation › imperfect channel state information
channel estimation error
0.212014
Comments on "Soft Decision Metric Generation for QAM With Channel Estimation Error" · IEEE Trans. Commun. 2014
Information theory
log-likelihood ratio metric
0.212014
Comments on "Soft Decision Metric Generation for QAM With Channel Estimation Error" · IEEE Trans. Commun. 2014
Coding theory › error-correcting codes › decoding
soft-decision decoding
0.212014
Comments on "Soft Decision Metric Generation for QAM With Channel Estimation Error" · IEEE Trans. Commun. 2014
Physical-layer communications
modulation
0.112014
Comments on "Soft Decision Metric Generation for QAM With Channel Estimation Error" · IEEE Trans. Commun. 2014
Physical-layer communications › modulation
quadrature amplitude modulation
0.112014
Comments on "Soft Decision Metric Generation for QAM With Channel Estimation Error" · IEEE Trans. Commun. 2014

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

simulation · 0.4
YearPublicationVenuePosition
2015 Soft-Output MIMO Detectors with Channel Estimation Error
abstract
New expressions for the soft decision bit log-likelihood ratio (LLR) of a MIMO system using quadrature amplitude modulation (QAM) taking into account channel estimation error (CEE). The bit LLR for the maximum likelihood (ML) and the linear minimum mean-squared error (MMSE) receivers are derived, showing in both receivers explicit scaling of the LLR that is a function of the QAM symbol and the CEE variance. These new expressions for the LLRs are used to show that only modest improvements in the link performance are achieved relative to the LLRs that do not take into account the CEE. This indicates that separating the detector design from channel estimation does not significantly impact the system performance, which leads to simplifications in the overall receiver implementation.
Louay M. A. Jalloul, Sam P. Alex, Mohammad M. Mansour
IEEE Signal Process. Lett.2
2014 Comments on "Soft Decision Metric Generation for QAM With Channel Estimation Error"
abstract
A log-max generalized bit log-likelihood ratio (GLLR) was derived in an earlier work of Wanget al.for soft decision decoding of quadrature amplitude modulation that takes into account channel estimation error. The results in the above paper show that the GLLR metric outperforms the conventional LLR metric that does not account for channel estimation error. In trying to reproduce the results of the above paper, our simulations indicate that their results were obtained without proper scaling of the transmit constellation. Conversely, through simulations, we demonstrate that by properly scaling the constellation to have unity average energy, the GLLR metric does not result in a noticeable advantage in the bit error rate over the conventional LLR metric for practically meaningful values of the channel estimation error.
Louay M. A. Jalloul, Sam P. Alex, Mohammad M. Mansour
IEEE Trans. Commun.2
2008 Coverage Analysis for IEEE 802.16e/WiMAX Systems
abstract
This paper describes a frame work for evaluating the coverage performance of an orthogonal frequency division multiplexing (OFDM) system as defined in the IEEE 802.16e/WiMAX standard. Both the downlink and the uplink coverage are presented under a system with multiple cells and sectors. The spatial area coverage for a single frequency reuse and reuse of 3 are evaluated. Our results show that a WiMAX system can be uplink coverage limited for base station receivers with only two antennas. It is shown that there is a tradeoff between the uplink sector throughput and coverage performance. On the downlink, it is shown that a combination of cyclic delay diversity (CDD) with segmented frequency reuse of 3 significantly improves coverage performance. Also, shown is a comparison of downlink coverage performance between maximum ratio combining (MRC) and minimum mean square (MMSE) receivers at the subscriber station. It is shown that for a single frequency reuse an MMSE receiver with CDD at the transmitter are needed for adequate downlink coverage performance.
Louay M. A. Jalloul, Sam P. Alex
IEEE Trans. Wirel. Commun.2