Eko N. Onggosanusi

What is he best known for?

The fields of study he is best known for:

• Telecommunications
• Computer network
• Signal

Eko N. Onggosanusi focuses on Electronic engineering, Transmission, User equipment, MIMO and Communication channel. The study incorporates disciplines such as Transmit diversity, Transmitter, Signal, Precoding matrix and Antenna in addition to Electronic engineering. His biological study spans a wide range of topics, including Algorithm and Joint.

His study in Transmission is interdisciplinary in nature, drawing from both Code word and Precoding. His User equipment research integrates issues from Real-time computing and Data rate. His work in the fields of Spatial multiplexing overlaps with other areas such as Rank and Throughput.

His most cited work include:

• Precoding matrix feedback processes, circuits and systems (152 citations)
• Reference Signal Sequences and Multi-User Reference Signal Sequence Allocation (149 citations)
• Multiple rank CQI feedback for cellular networks (146 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Electronic engineering, Transmission, Transmitter, User equipment and Computer network. His research in Electronic engineering intersects with topics in MIMO, Communication channel, Communications system, Signal and Antenna. His work in Signal addresses subjects such as Algorithm, which are connected to disciplines such as Code division multiple access.

Codebook is closely connected to Precoding in his research, which is encompassed under the umbrella topic of Transmission. His research investigates the connection between Transmitter and topics such as Computer hardware that intersect with problems in Cellular communication systems. He has included themes like Wireless communication systems, Real-time computing and Subframe, Telecommunications link in his User equipment study.

He most often published in these fields:

• Electronic engineering (60.67%)
• Transmission (32.58%)
• Transmitter (28.09%)

What were the highlights of his more recent work (between 2012-2020)?

• User equipment (27.53%)
• Communication channel (23.03%)
• Electronic engineering (60.67%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include User equipment, Communication channel, Electronic engineering, Channel state information and Transmission. Eko N. Onggosanusi has researched User equipment in several fields, including Computer hardware, Configuration information and Telecommunications link. His studies in Communication channel integrate themes in fields like Payload, EnodeB and Signal.

In his research, Spatial correlation is intimately related to Precoding, which falls under the overarching field of Electronic engineering. His Channel state information research includes themes of Precoding matrix, Wireless communication systems, Electrical engineering and Transceiver. His Transmission study incorporates themes from Code word, Computer network and Electronic circuit.

Between 2012 and 2020, his most popular works were:

• Multiple rank CQI feedback for cellular networks (146 citations)
• Channel quality report processes, circuits and systems (112 citations)
• Partial CQI feedback in wireless networks (62 citations)

In his most recent research, the most cited papers focused on:

• Telecommunications
• Computer network
• Signal

His scientific interests lie mostly in Electronic engineering, Communication channel, Transmission, Signal and User equipment. His Electronic engineering study combines topics from a wide range of disciplines, such as Codebook and Channel state information. Eko N. Onggosanusi usually deals with Communication channel and limits it to topics linked to EnodeB and Node, Wireless network and Discontinuous transmission.

The various areas that Eko N. Onggosanusi examines in his Signal study include Electronic circuit and Code word. His User equipment study focuses on Computer network and Base station. His Computer network research incorporates themes from Symbol and Precoding.