W
Wence Zhang
Researcher at Jiangsu University
Publications - 63
Citations - 827
Wence Zhang is an academic researcher from Jiangsu University. The author has contributed to research in topics: MIMO & Precoding. The author has an hindex of 11, co-authored 53 publications receiving 619 citations. Previous affiliations of Wence Zhang include Pontifical Catholic University of Rio de Janeiro & Southeast University.
Papers
More filters
Journal ArticleDOI
Large-Scale Antenna Systems With UL/DL Hardware Mismatch: Achievable Rates Analysis and Calibration
TL;DR: The upper bounds on achievable rates of MF and RZF with 11M are investigated, which are related to the statistics of the circuit gains of the mismatched hardware.
Journal ArticleDOI
Widely Linear Precoding for Large-Scale MIMO with IQI: Algorithms and Performance Analysis
TL;DR: In this article, the authors adopt a real-valued signal model, which considers the IQI at the transmitter, and then develop widely linear precoding techniques to mitigate in-phase/quadrature-phase (IQ) imbalance (IQI) in the downlink of large-scale MIMO systems.
Journal ArticleDOI
Distributed Energy-Efficient Power Optimization for CoMP Systems With Max-Min Fairness
TL;DR: A distributed algorithm is proposed to solve the subproblem in DDA with limited intercell coordination, where only a small number of positive scalars are shared between base stations, and results show that the proposed algorithm outperforms previous schemes in terms of both the minimum EE of all the BSs' EE and fairness.
Journal ArticleDOI
Weighted Sum Energy Efficiency Maximization in Ad Hoc Networks
TL;DR: It is theoretically proven that the proposed distributed algorithm strictly converges to the Karush-Kuhn-Tucker (KKT) point of the problem and it is shown that the suggested algorithm degrades gracefully when decreasing overhead of information exchange.
Journal ArticleDOI
Pricing-Based Distributed Energy-Efficient Beamforming for MISO Interference Channels
TL;DR: This paper develops an efficient distributed beamforming algorithm based on a pricing mechanism that converges much faster than existing algorithms, while yielding comparable, sometimes even better performance in terms of the WS-EE.