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20182025
most citedDual Attention-Based Federated Learning for Wireless Traffic Prediction

132 citations · 253 across the 18 of their papers we have counts for

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Showing cs.ITShow all

6 papers · 1 filter

cs.IT2020

Power Allocation for Relayed OFDM with Index Modulation Assisted by Artificial Neural Network

Jiusi Zhou, Shuping Dang, Basem Shihada +1

In this letter, we propose a power allocation scheme for relayed orthogonal frequency division multiplexing with index modulation (OFDM-IM) systems. The proposed power allocation s…

cs.IT2020

Enhanced Huffman Coded OFDM with Index Modulation

Shuping Dang, Shuaishuai Guo, Justin P. Coon +2

In this paper, we propose an enhanced Huffman coded orthogonal frequency-division multiplexing with index modulation (EHC-OFDM-IM) scheme. The proposed scheme is capable of utilizi…

cs.IT2019

Prospect Theory for Human-Centric Communications

Kevin Luo, Shuping Dang, Basem Shihada +1

Entering the 5G/6G era, the core concept of human-centric communications has intensified the search effort into analytical frameworks for integrating technological and non-technolo…

cs.IT2019

PHY Research Is Sick but Curable: An Empirical Analysis

Kevin Luo, Shuping Dang, Basem Shihada +1

The controversy and argument on the usefulness of the physical layer (PHY) academic research for wireless communications are long-standing since the cellular communication paradigm…

cs.IT2019

Toward Spectral and Energy Efficient 5G Networks Using Relayed OFDM with Index Modulation

Shuping Dang, Basem Shihada, Mohamed-Slim Alouini

Next generation wireless networks are expected to provide much higher data throughput and reliable connections for a far larger number of wireless service subscribers and machine-t…

cs.IT201917 cited

A Novel Error Performance Analysis Methodology for OFDM-IM

Shuping Dang, Guoqing Ma, Basem Shihada +1

Orthogonal frequency-division multiplexing with index modulation (OFDM-IM) has become a high-profile candidate for the modulation scheme in next generation networks, and many works…