Li Sun
Auburn University
7 Papers
27 Citations
Li Sun is an academic researcher from Auburn University. The author has contributed to research in topics: Computer science & Handover. The author has an hindex of 3, co-authored 7 publications.
Chat about Author
Papers
Spatial and Temporal Contextual Multi-Armed Bandit Handovers in Ultra-Dense mmWave Cellular Networks
TL;DR: Two novel handover mechanisms to reduce unnecessary handovers by carefully deciding the next base station a user should handover to, so that the new user-BS connection after the handover can last as long as possible are proposed.
30
Optimal Handover Policy for mmWave Cellular Networks: A Multi-Armed Bandit Approach
TL;DR: A novel handover mechanism to reduce unnecessary handovers in a mmWave cellular network by carefully deciding the next base station a user should handover to, so that the new user-BS connection after the handover can last as long as possible.
18
Economics of Strategic Network Infrastructure Sharing: A Backup Reservation Approach
TL;DR: In this paper, the authors proposed a strategic NIS framework for backup reservation between a small/local network operator with limited resources and uncertain demands, and a more resourceful operator with excessive capacity.
16
Bandwidth-Efficient Precoding in Cell-Free Massive MIMO Networks with Rician Fading Channels
TL;DR: In this paper, the authors proposed a bandwidth-efficient global zero-forcing precoding strategy for downlink transmission in cell-free massive MIMO systems by exploiting the physical structure of Rician fading channels, which decomposes a channel matrix into a line-of-sight (LoS) and a non-line-ofsight (NLoS), and then compresses them using a model-based method and a singular-valuedecomposition (SVD)-based method, respectively.
8
Strategic Network Infrastructure Sharing through Backup Reservation in a Competitive Environment
Jing Hou,Li Sun,Tao Shu,Yong Xiaoy,Marwan Krunzz +4 more
- 01 Jun 2019
TL;DR: This study shows that NIS through backup reservation leads to both higher resource utilization and profits for operators, as well as higher service levels for end users, and the impact of competition intensity on the sharing decisions is highly dependent on the amount of potential redundant capacity.
4