600 citations · 1.8k across the 128 of their papers we have counts for
7 papers · 1 filter
Exploiting Intelligent Reflecting Surfaces in NOMA Networks: Joint Beamforming Optimization
Xidong Mu, Yuanwei Liu, Li Guo +2
This paper investigates a downlink multiple-input single-output intelligent reflecting surface (IRS) aided non-orthogonal multiple access (NOMA) system, where a base station (BS) s…
A Survey on Spatial Modulation in Emerging Wireless Systems: Research Progresses and Applications
Miaowen Wen, Beixiong Zheng, Kyeong Jin Kim +4
Spatial modulation (SM) is an innovative and promising digital modulation technology that strikes an appealing trade-off between spectral efficiency and energy efficiency with a si…
Cache-Aided NOMA Mobile Edge Computing: A Reinforcement Learning Approach
Zhong Yang, Yuanwei Liu, Yue Chen +1
A novel non-orthogonal multiple access (NOMA) based cache-aided mobile edge computing (MEC) framework is proposed. For the purpose of efficiently allocating communication and compu…
Joint Frame Synchronization and Channel Estimation: Sparse Recovery Approach and USRP Implementation
Özgür Özdemir, Chethan Kumar Anjinappa, Ridha Hamila +2
Correlation-based techniques used for frame synchronization can suffer significant performance degradation over multi-path frequency-selective channels. In this paper, we propose a…
Energy Efficiency Analysis of Collaborative Compressive Sensing Scheme in Cognitive Radio Networks
Rajalekshmi Kishore, Sanjeev Gurugopinath, Sami Muhaidat +3
In this paper, we investigate the energy efficiency of conventional collaborative compressive sensing (CCCS) scheme, focusing on balancing the tradeoff between energy efficiency an…
Sensing-Throughput Tradeoff for Superior Selective Reporting-based Spectrum Sensing in Energy Harvesting HCRNs
Rajalekshmi Kishore, Sanjeev Gurugopinath, Sami Muhaidat +3
In this paper, we investigate the performance of conventional cooperative sensing (CCS) and superior selective reporting (SSR)-based cooperative sensing in an energy harvesting-ena…