Steven Blostein

About Steven Blostein

Steven Blostein, With an exceptional h-index of 34 and a recent h-index of 14 (since 2020), a distinguished researcher at Queens University, specializes in the field of communications systems, signal processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

User Selection for MU-MIMO Based on Channel Estimation and Spatial Orthogonality

RSMA Precoding Design Based on Interference Nulling and Sum Rate Upper Bound

A hybrid random-greedy approach to user selection for MU-MIMO based on pairwise metrics

Precoding design and sum rate upper bound of RSMA using interference nulling

Change Detection for Large Distributed Sensor Networks With Multitriggered Local Sensors

Low complexity rate splitting using hierarchical user grouping

Joint AP Association and PCS Threshold Selection in Dense Full-duplex Wireless Networks

Optimized carrier sensing thresholds for dense mmWave wireless networks coexistence

Steven Blostein Information

University

Position

Professor of Electrical and Computer Engineering

Citations(all)

10253

Citations(since 2020)

2211

Cited By

8682

hIndex(all)

34

hIndex(since 2020)

14

i10Index(all)

88

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Steven Blostein Skills & Research Interests

communications systems

signal processing

Top articles of Steven Blostein

Title

Journal

Author(s)

Publication Date

User Selection for MU-MIMO Based on Channel Estimation and Spatial Orthogonality

O Saatlou

Steven D Blostein

2023/9/5

RSMA Precoding Design Based on Interference Nulling and Sum Rate Upper Bound

IEEE Transactions on Communications

Elaheh Sadeghabadi

Steven Blostein

2023/5/17

A hybrid random-greedy approach to user selection for MU-MIMO based on pairwise metrics

O Saatlou

Steven D Blostein

2022/6/5

Precoding design and sum rate upper bound of RSMA using interference nulling

Elaheh Sadeghabadi

Steven Blostein

2022/5/16

Change Detection for Large Distributed Sensor Networks With Multitriggered Local Sensors

IEEE Access

Matthew W Quarisa

Steven D Blostein

2022/4/25

Low complexity rate splitting using hierarchical user grouping

Elaheh Sadeghabadi

Steven Blostein

2021/6/14

Joint AP Association and PCS Threshold Selection in Dense Full-duplex Wireless Networks

arXiv preprint arXiv:2104.13574

Phillip B Oni

Steven D Blostein

2021/4/28

Optimized carrier sensing thresholds for dense mmWave wireless networks coexistence

Phillip B Oni

Steven D Blostein

2020/6/7

See List of Professors in Steven Blostein University(Queens University)

Co-Authors

academic-engine