mmCEsim: Task-oriented Millimeter Wave Channel Estimation
Authors/Creators
Description
New Features
- ALG library enhancement (#49, PR #51):
- Add OMPL[^1] algorithm to the library.
- ALG dependency check.
- Enhanced log and TeX report (PR #55).
- Update Doxygen website configurations (including more graphs).
- Automatic version bump script (#70, PR #75).
Bug Fixes
- Rename configuration file to
mmcesim.cfg(#50, PR #53). - Change Unix file location of
mmcesim.logandmmcesim.cfg(#71, PR #74) - Fix C++ (Armadillo) runtime error when simulating with
-O2or-O3on macOS by patchingarma::randperm(#52, PR #54). - Fix warnings due to Boost Library's use of deprecated functions (#66).
News
- The research paper entitled 'Beam Pattern and Reflection Pattern Design for Channel Estimation in RIS-assisted mmWave MIMO Systems' [^2] is online as an early access paper of IEEE Transactions on Vehicular Technology (Sep. 8, 2023).
- The research paper entitled 'Beam Pattern and Reflection Pattern Design for Channel Estimation in RIS-assisted mmWave MIMO Systems' [^2] has been accepted by IEEE Transactions on Vehicular Technology (May 21, 2023).
- The research paper entitled 'OMPL-SBL Algorithm for Intelligent Reflecting Surface-Aided mmWave Channel Estimation' [^1] is online as an early access paper of IEEE Transactions on Vehicular Technology (Jun. 27, 2023): https://ieeexplore.ieee.org/document/10164645 (#69)
[!NOTE]
x86 and x64 binaries are built automatically by GitHub Actions; The macOS arm binary is built manually on macOS with M1 chip.
Contributed by @Teddy-van-Jerry and @mmcesim-bot, for version 0.2.2 release (#73).
[^1]: W. Zhao, Y. You, L. Zhang, X. You, and C. Zhang, "OMPL-SBL algorithm for intelligent reflecting surface-aided mmWave channel estimation", IEEE Trans. Veh. Technol., 2023, to be published. DOI: 10.1109/TVT.2023.3287400. [^2]: Y. You, W. Zhao, L. Zhang, X. You, and C. Zhang, "Beam pattern and reflection pattern design for channel estimation in RIS-assisted mmWave MIMO systems", IEEE Trans. Veh. Technol., 2023, to be published.
Notes
Files
mmcesim/mmcesim-v0.2.2-beta1.zip
Files
(203.8 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:13bd72723e5aae4ffc84991bd78a4a72
|
203.8 kB | Preview Download |
Additional details
Related works
- Is supplement to
- Software: https://github.com/mmcesim/mmcesim/tree/v0.2.2-beta1 (URL)