Robust Energy-Efficient MIMO Transmission for.pdf (2.42 MB)
Robust energy-efficient MIMO transmission for cognitive vehicular networks
journal contribution
posted on 2023-06-09, 01:13 authored by Daxin Tian, Jianshan Zhou, Zhengguo ShengZhengguo Sheng, Victor LeungThis work investigates a robust energy-efficient solution for multiple-input-multiple-output (MIMO) transmissions in cognitive vehicular networks. Our goal is to design an optimal MIMO beamforming for secondary users (SUs) considering imperfect interference channel state information (CSI). Specifically, we optimize the energy efficiency (EE) of SUs, given that the transmission power constraint, the robust interference power constraint and the minimum transmission rate are satisfied. To solve the optimization problem, we first characterize the uncertainty of CSI by bounding it in a Frobenius-norm-based region and then equivalently convert the robust interference constraint to a linear matrix inequality. Furthermore, a feasible ascent direction approach is proposed to reduce the optimization problem into a sequential linearly constrained semi-definite program, which leads to a distributed iterative optimization algorithm for deriving the robust and optimal beamforming. The feasibility and convergence of the proposed algorithm is theoretically validated, and the final experimental results are also supplemented to show the strength of the proposed algorithm over some conventional schemes in terms of the achieved EE performance and robustness.
History
Publication status
- Published
File Version
- Accepted version
Journal
IEEE Transactions on Vehicular TechnologyISSN
0018-9545Publisher
Institute of Electrical and Electronics EngineersExternal DOI
Issue
6Volume
65Page range
3845-3859Department affiliated with
- Engineering and Design Publications
Full text available
- Yes
Peer reviewed?
- Yes