most citedFlexible Multiple Access Enabling Low-Latency Communications: Introducing NOMA-R

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IT2021

Sparse Linear Precoders for Mitigating Nonlinearities in Massive MIMO

Amine Mezghani, Daniel Plabst, Lee A. Swindlehurst +2

Dealing with nonlinear effects of the radio-frequency(RF) chain is a key issue in the realization of very large-scale multi-antenna (MIMO) systems. Achieving the remarkable gains p…

eess.SP2021

On the Optimal Power Allocation and User Pairing for Uplink Non-Orthogonal Multiple Access Networks

Mouktar Bello, Anrsenia Chorti, Inbar Fijalkow

In this paper, we derive the optimal user pairing and power allocation in uplink non orthogonal multiple access (NOMA) networks. The optimal power allocation that maximizes the sum…

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…

eess.SP2020

Performance Analysis of Uplink NOMA-Relevant Strategy Under Statistical Delay QoS Constraints

Mylene Pischella, Arsenia Chorti, Inbar Fijalkow

A new multiple access (MA) strategy, referred to as non orthogonal multiple access - Relevant (NOMA-R), allows selecting NOMA when this increases all individual rates, i.e., it is…

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…