What is she best known for?
The fields of study she is best known for:
- Telecommunications
- Statistics
- Computer network
Salama S. Ikki mainly investigates Rayleigh fading, Fading, Cooperative diversity, Relay and Communication channel.
Her Rayleigh fading research is multidisciplinary, incorporating perspectives in Transmitter, Electronic engineering and Topology.
Her work is dedicated to discovering how Fading, Signal-to-noise ratio are connected with Nakagami distribution and other disciplines.
Salama S. Ikki combines subjects such as Moment-generating function and Bit error rate with her study of Cooperative diversity.
Her Relay research integrates issues from Node and Channel capacity.
Her work deals with themes such as Signal-to-noise ratio and Algorithm, which intersect with Statistics.
Her most cited work include:
- Performance Analysis of Cooperative Diversity Wireless Networks over Nakagami-m Fading Channel (467 citations)
- Quadrature Spatial Modulation (252 citations)
- Performance analysis of adaptive decode-and-forward cooperative diversity networks with best-relay selection (239 citations)
What are the main themes of her work throughout her whole career to date?
The scientist’s investigation covers issues in Algorithm, Communication channel, Fading, Rayleigh fading and Relay.
Her Algorithm research is multidisciplinary, relying on both Pairwise error probability, MIMO, Spectral efficiency and Statistics.
Salama S. Ikki interconnects Transmitter and Signal-to-noise ratio in the investigation of issues within Communication channel.
Her Fading research is multidisciplinary, incorporating elements of Coding gain, Channel capacity and Topology.
Her research integrates issues of Cumulative distribution function, Cognitive radio, Wireless network, Upper and lower bounds and Electronic engineering in her study of Rayleigh fading.
Her research in Relay is mostly concerned with Cooperative diversity.
She most often published in these fields:
- Algorithm (38.89%)
- Communication channel (38.89%)
- Fading (33.33%)
What were the highlights of her more recent work (between 2017-2021)?
- Algorithm (38.89%)
- Communication channel (38.89%)
- Transmission (17.78%)
In recent papers she was focusing on the following fields of study:
Her primary areas of investigation include Algorithm, Communication channel, Transmission, Bit error rate and Decoding methods.
Salama S. Ikki has included themes like Pairwise error probability, MIMO, Spectral efficiency, Transmitter and Telecommunications link in her Algorithm study.
Her Pairwise error probability study deals with the bigger picture of Fading.
Channel state information and Rayleigh fading are the primary areas of interest in her Communication channel study.
As part of one scientific family, Salama S. Ikki deals mainly with the area of Rayleigh fading, narrowing it down to issues related to the Channel capacity, and often Interference alignment.
Her Transmission study combines topics in areas such as Relay, Computer hardware and Detector.
Between 2017 and 2021, her most popular works were:
- Sum-Rate Maximization of NOMA Systems Under Imperfect Successive Interference Cancellation (33 citations)
- Decision Fusion in Distributed Cooperative Wireless Sensor Networks (20 citations)
- Reconfigurable Intelligent Surface-Assisted Space Shift Keying (15 citations)
In her most recent research, the most cited papers focused on:
- Telecommunications
- Computer network
- Algorithm
Her main research concerns Algorithm, Bit error rate, Transmission, Detector and Modulation.
Her Algorithm research incorporates elements of Pairwise error probability, Single antenna interference cancellation and Noma, Telecommunications link.
To a larger extent, she studies Fading with the aim of understanding Pairwise error probability.
Her work carried out in the field of Bit error rate brings together such families of science as Decoding methods, Computer hardware and Reduction.
Her Computer hardware study incorporates themes from Cramér–Rao bound and Rayleigh fading.
Her studies in Transmission integrate themes in fields like Signal-to-noise ratio and Communications system.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
