Results 161 to 170 of about 1,380,112 (215)

JODS-PD: Single-Layer Primal-Dual Dynamical Optimization for IRS-Assisted NOMA Beamforming. [PDF]

Sensors (Basel)
Shi Y, Peng P, Wang Z.
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Smart beamforming and deep-learning reader for RFID systems in edge IoT. [PDF]

Sci Rep
Mekki K, Slimene MB, Neffati S, Ghezaiel N, Kefi K, Rmili H, Gharsallah A.   +6 more
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Fair and scalable energy-efficient rate splitting multiple access in cognitive high altitude platform networks. [PDF]

Sci Rep
Alhashmi AA, Alshammari AB, Abdullah M, Alghawli ASA, Alkhaldi TM, Ebad SA, Alharbi KNR, Darem AA.   +7 more
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MIMO Hybrid Beamforming

2023
In mmWave massive MIMO, the required number of radio frequency (RF) chains becomes impractical due to the expensive and power-hungry components such as variable gain power amplifiers, filters, mixers, and analog-to-digital/digital-to-analog converters (ADCs/DACs). A promising solution to this problem is reducing the number of radiofrequency (RF) chains
Mostafa Hefnawi, Jamal Zbitou
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Analysis of diversity, beamforming and hybrid diversity-beamforming systems

2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2004
In this paper we compare Shannon capacities of diversity, beamforming, and hybrid diversity-beamforming systems for reverse and forward links. Our results show that the reverse link capacity of a diversity system is higher than that of a beamforming system, while the beamforming system can provide higher capacity than the diversity system in the ...
Mahdi Nezafat, Mostafa Kaveh
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Deep Learning for SVD and Hybrid Beamforming

IEEE Transactions on Wireless Communications, 2020
Hybrid beamforming (BF), which divides BF operation into radio frequency (RF) and baseband (BB) domains, will play a critical role in MIMO communication at millimeter-wave (mmW) frequencies. In principle, we can obtain unconstrained (optimum) beamformers of a transceiver, which approach the maximum achievable data rates, through its singular value ...
Ture Peken, Sudarshan Adiga, Ravi Tandon, Tamal Bose   +3 more
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Robust beamforming method for SDMA with interleaved subarray hybrid beamforming

2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2016
This paper considers millimeter-wave access network systems with space division multiple access using an interleaved subarray hybrid beamforming structure, where antenna elements in each subarray scatter uniformly over the whole antenna array. The structure can provide high system capacity by multiplexing users in the space domain with narrow beams ...
Shunsuke Fujio, Chikara Kojima, Toshihiro Shimura, Ken-ichi Nishikawa, Kazuyuki Ozaki, Zhengyi Li 0001, Atsushi Honda, Shohei Ishikawa, Takenori Ohshima, Hiroshi Ashida, Masahiko Shimizu, Yoji Ohashi   +11 more
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Millimeter-Wave NOMA with Hybrid Beamforming

2019 IEEE International Conference on Communications Workshops (ICC Workshops), 2019
This paper investigates the application of nonorthogonal multiple access in millimeter-Wave communications (mmWave-NOMA) with hybrid beamforming. A user grouping algorithm is first proposed according to channel gains and channel correlations. Whereafter, a joint hybrid beamforming and power allocation problem is formulated to maximize the achievable ...
Lipeng Zhu 0001, Jun Zhang 0007, Zhenyu Xiao, Xianbin Cao 0001   +3 more
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Hybrid beamforming: reduced eigen beamforming on beam signals

2002 International Zurich Seminar on Broadband Communications Access - Transmission - Networking (Cat. No.02TH8599), 2003
A hybrid beamforming technique for multiple antenna receivers is introduced. It is a combination of a simple fixed beam method and the adaptive eigen beamforming algorithm. This two-stage solution allows for a user-specific scalable trade-off between performance and complexity, depending on the interference scenario.
I. Viering, T. Frey, G. Schnabl
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Adaptive Optical Processing for Wideband Hybrid Beamforming

IEEE Transactions on Communications, 2019
Multiuser centralized radio access networks (C-RANs) need to adapt to time-varying radio environments, and adaptation is advantageously split between remote antenna units (RAUs) and centralized baseband units (BBUs) to minimize the required fronthaul throughput.
Combi L., Spagnolini U.
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