most citedThroughput Analysis and User Barring Design for Uplink NOMA-Enabled Random Access

7 citations · 13 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IT20204 cited

Multiple Transmit Power Levels based NOMA for Massive Machine-type Communications

Wenqiang Yi, Wenjuan Yu, Yuanwei Liu +3

This paper proposes a tractable solution for integrating non-orthogonal multiple access (NOMA) into massive machine-type communications (mMTC) to increase the uplink connectivity.…

cs.IT2020

Asymptotic Performance Analysis of NOMA Uplink Networks Under Statistical QoS Delay Constraints

Mouktar Bello, Arsenia Chorti, Inbar Fijalkow +2

In this paper, we study the performance of an uplink non-orthogonal multiple access (NOMA) network under statistical quality of service (QoS) delay constraints, captured through ea…

cs.IT2020

Performance Analysis of NOMA Uplink Networks under Statistical QoS Delay Constraints

Mouktar Bello, Wenjuan Yu, Arsenia Chorti +1

In the fifth generation and beyond (B5G), delayconstraints emerge as a topic of particular interest, e.g. forultra-reliable low latency communications (URLLC) such asautonomous veh…

eess.SP20207 cited

Throughput Analysis and User Barring Design for Uplink NOMA-Enabled Random Access

Wenjuan Yu, Chuan Heng Foh, Atta ul Quddus +2

Being able to accommodate multiple simultaneous transmissions on a single channel, non-orthogonal multiple access (NOMA) appears as an attractive solution to support massive machin…

eess.SP20202 cited

Flexible Multiple Access Enabling Low-Latency Communications: Introducing NOMA-R

Mouktar Bello, Wenjuan Yu, Mylene Pischella +3

Various verticals in 5G and beyond (B5G) networks require very stringent latency guarantees, while at the same time envisioning massive connectivity. As a result, choosing the opti…