Spectrum pricing for cognitive radio networks with user’s stochastic distribution
Amid the dynamic spectrum access in cognitive radio networks, when complex spectrum conditions should be taken into account, how to price the spectrum in order to benefit primary systems in maximization is still under-investigated. In this paper, we devise a spectrum pricing method to address this i...
Main Authors: | Wang, Li, Lam, Kwok-Yan, Xiong, Mudi, Li, Feng, Liu, Xin, Wang, Jian |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/137332 |
Similar Items
-
Spectrum allocation with asymmetric monopoly model for multibeam-based cognitive satellite networks
by: Li, Feng, et al.
Published: (2018) -
Spectrum optimization for cognitive satellite communications with Cournot game model
by: Wang, Li, et al.
Published: (2018) -
Learning Temporal–Spatial Spectrum Reuse
by: Zhang, Yi, et al.
Published: (2017) -
Reputation-based power allocation for NOMA cognitive radio networks
by: Li, Feng, et al.
Published: (2023) -
Dynamic spectrum access networks with heterogeneous users : how to price the spectrum?
by: Li, Feng, et al.
Published: (2019)