Results 41 to 50 of about 1,265,987 (202)
Cooperative Downlink Multicell Preprocessing Relying on Reduced-Rate Back-Haul Data Exchange [PDF]
, 2011 Different-complexity multicell preprocessing (MCP) schemes employing distributed signal-to-interference leakage-plus-noise ratio (SILNR) precoding techniques are proposed, which require reduced back-haul data exchange in comparison with the conventional ...
Zhang, Rong, Hanzo, Lajos
core +2 more sources
Robust MMSE Precoding Strategy for Multiuser MIMO Relay Systems with Switched Relaying and Side Information [PDF]
, 2013 In this work, we propose a minimum mean squared error (MMSE) robust base station (BS) precoding strategy based on switched relaying (SR) processing and limited transmission of side information for interference suppression in the downlink of multiuser ...
Yang, Lie-Liang +3 more
core +2 more sources
Hybrid precoding method for mmWave massive MIMO systems based on LFM
Dianxin kexue, 2019 Analog-digital hybrid precoding is a key technology for millimeter wave massive MIMO systems that reduce hardware costs while balancing system performance.However,the traditional hybrid precoding scheme often needed to find a suitable codebook for ...
Haoyi CHEN, Yifan DING, Ying CHENG
doaj +2 more sources
Hardware-Efficient Hybrid Precoding for Millimeter Wave Systems With Multi-Feed Reflectarrays
IEEE Access, 2018 Current hybrid precoding schemes for large-scale antenna array-aided millimeter wave (mmWave) wireless systems adopt either full-connected or sub-connected architectures based on phased array antennas (PAAs).
Zhengyi Zhou +3 more
doaj +1 more source
Broadband Hybrid Precoding Scheme Based on Cyclic Delay in Terahertz Communications
IEEE Access, 2021 The terahertz communication system with traditional hybrid precoding structure has the problem of beam diffusion. This problem leads to the serious loss of achievable rate and offsets the performance gain caused by bandwidth increase, so a broadband ...
Lei Xu +4 more
doaj +1 more source
Low complexity hybrid precoding method in mmWave massive MIMO system
Dianxin kexue, 2016 A low-complexity hybrid precoding method was proposed to design the hybrid precoding for mmWave massive MIMO system.Firstly,an initial radio frequency(RF)precoding matrix was constructed based on the singular value decomposition.Then an updated RF matrix
Jianwei XIANG, Xiulan YU, Xiaorong JING
doaj +2 more sources
International Journal of Satellite Communications and Networking, EarlyView.ABSTRACT As non‐terrestrial networks (NTNs) become integral to future 6G systems, ensuring seamless connectivity and service continuity over low Earth orbit (LEO) satellite constellations is essential. This work investigates the impact of open radio access network (RAN) functional splits on handover performance in NTNs, focusing on minimizing service ...
Siva Satya Sri Ganesh Seeram +3 more
wiley +1 more source
International Journal of Satellite Communications and Networking, EarlyView.ABSTRACT Low Earth Orbit (LEO) satellite constellations offer unprecedented opportunities for global broadband connectivity but pose significant beamforming challenges due to rapid platform motion and stringent onboard hardware constraints. Fully digital architectures, while optimal in theory, remain impractical for satellite payloads, motivating ...
Mohammad Momani +2 more
wiley +1 more source
Adaptive gradient algorithm for hybrid precoding in mmWave MIMO system
Tongxin xuebao, 2021 To reduce the complexity of existing hybrid precoding algorithms based on alternating minimization (AltMin) and online learning via gradient descent with momentum in mmWave MIMO systems, aiming at the single-user scenario, the problem of designing the ...
Yu ZHANG, Zhi ZHANG, Xiaodai DONG
doaj +2 more sources
Rethinking Emotional Labor: AI's Role in Shaping Consumer and Worker Well‐Being
Journal of Consumer Affairs, Volume 60, Issue 2, Summer 2026.ABSTRACT This article offers a commentary on the role of AI‐driven systems in emotional labor and its implications for consumers' well‐being. The central insight is that AI systems can alleviate service providers' emotional burden while providing consistent support, which challenges the notion that only humans can deliver authentic emotional support ...
Wookjae Heo, Sun Young Ahn
wiley +1 more source