Resource Allocation for Frequency-Selective Fading, Multi-Carrier Systems with Fairness Constraints

2009 ◽  
Author(s):  
E. Liu ◽  
Q. Zhang ◽  
K. K. Leung
Keyword(s):  
Resource Allocation ◽  
Selective Fading ◽  
Frequency Selective Fading ◽  
Fairness Constraints ◽  
Frequency Selective ◽  
Carrier Systems

scholarly journals Hybrid Beamforming for Terahertz Multi-Carrier Systems Over Frequency Selective Fading

2020 ◽  
Vol 68 (10) ◽  
pp. 6186-6199
Author(s):  
Hang Yuan ◽  
Nan Yang ◽  
Kai Yang ◽  
Chong Han ◽  
Jianping An
Keyword(s):  
Selective Fading ◽  
Frequency Selective Fading ◽  
Hybrid Beamforming ◽  
Frequency Selective ◽  
Carrier Systems

scholarly journals IEEE 802.11ax OFDMA Resource Allocation with Frequency-Selective Fading

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6099
Author(s):  
Sergei Tutelian ◽  
Dmitry Bankov ◽  
Dmitri Shmelkin ◽  
Evgeny Khorov
Keyword(s):  
Resource Allocation ◽  
Scheduling Algorithm ◽  
Access Point ◽  
Selective Fading ◽  
Resource Allocation Algorithm ◽  
Frequency Selective Fading ◽  
Ieee 802.11Ax ◽  
Channel Conditions ◽  
Efficient Resource ◽  
Frequency Selective

This paper studies the usage of orthogonal frequency division multiple access (OFDMA) for uplink transmissions in IEEE 802.11ax networks. OFDMA enables simultaneous multi-user transmissions in Wi-Fi, but its usage requires efficient resource allocation algorithms. These algorithms should be able to adapt to the changing channel conditions, including the frequency-selective fading. This paper presents an OFDMA resource allocation algorithm for channels with frequency-selective fading and proposes an approach to adapt the user transmission power and modulation and coding schemes to the varying channel conditions, which is efficient even in the case when the access point has outdated channel state information. The proposed scheduling algorithm and power allocation approach can double the goodput and halve the data transmission time in Wi-Fi networks even in dense deployments of access points.

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