Chunk-Based Resource Allocation in OFDMA Systems—Part II: Joint Chunk, Power and Bit Allocation
By Huiling Zhu, Jiangzhou Wang. IEEE Transactions on Communications, 2012
469 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/c84141ce8f6d15f3167914822ac924a319a2c336
How researchers see this paper
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In Electrical and Electronic Engineering
- Jiangzhou Wang
- Huiling Zhu
- Gan Zheng
- Xianbin Wang
- Athina P. Petropulu
- Weiming Shen
- Nathan J. Gomes
- Yulong Zou
Citations in the corpus
- Optimal Relay Selection for Physical-Layer Security in Cooperative Wireless Networks (2013, background): “Notice that the channel coefficient hsd is modeled as Rayleigh fading which corresponds to an ideal OFDM subchannel [24] and [25].”
- Distributed Antenna Systems for Mobile Communications in High Speed Trains (2012, background): “As is well-known, the complexity of radio resource allocation (including transmit power, data rates, and frequency allocation) [13][14] in one BS is proportional to the number of active users.”
- Joint Beamforming and Power Allocation for Satellite-Terrestrial Integrated Networks With Non-Orthogonal Multiple Access (2019, background): “In fifth generation (5G) mobile communications era, when massive connectivity is required, the conventional orthogonal multiple access (OMA) technology is regarded as one of the hard bottlenecks, since the wireless resources are orthogonally allocated in OMA systems [22], [23], which limits the numb”
- A Deep Learning Framework for Optimization of MISO Downlink Beamforming (2019, background): “There are K = 4 single-antenna users and these users are distributed uniformly within the coverage of the BS. Note that none of these users is closer to the BS than 100 m. √ The channel of user k is modelled as where ˜ h k ∼ CN ( 0 , I N ) is the small-scale fading [60] and d k = 128 .”