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Tiejun Lv

Researcher at Beijing University of Posts and Telecommunications

Publications -  363
Citations -  4330

Tiejun Lv is an academic researcher from Beijing University of Posts and Telecommunications. The author has contributed to research in topics: MIMO & Relay. The author has an hindex of 26, co-authored 333 publications receiving 3124 citations. Previous affiliations of Tiejun Lv include Brown University & Peking University.

Papers
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Proceedings ArticleDOI

Deep reinforcement learning based computation offloading and resource allocation for MEC

TL;DR: This paper considers a multi-user MEC system, where multiple user equipments can perform computation offloading via wireless channels to an MEC server, and proposes RL-based optimization framework to tackle the resource allocation in wireless MEC.
Journal ArticleDOI

An ESPRIT-Based Approach for 2-D Localization of Incoherently Distributed Sources in Massive MIMO Systems

TL;DR: The analysis shows that the estimation performance of the proposed approach improves when the large-scale/massive MIMO systems are employed and the approximate Cramér-Rao bound ofThe proposed estimator for the 2-D localization is derived.
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Enabling Technologies for Ultra-Reliable and Low Latency Communications: From PHY and MAC Layer Perspectives

TL;DR: This paper evaluates the relevant PHY and MAC techniques for their ability to improve the reliability and reduce the latency and identifies that enabling long-term evolution to coexist in the unlicensed spectrum is also a potential enabler of URLLC in theUnlicensed band.
Journal ArticleDOI

Secrecy Transmit Beamforming for Heterogeneous Networks

TL;DR: This paper investigates secure communications in a two-tier downlink HetNet, which comprises one macrocell and several femtocells, and considers an orthogonal spectrum allocation strategy to eliminate co-channel interference.
Journal ArticleDOI

Secrecy Transmit Beamforming for Heterogeneous Networks

TL;DR: In this paper, the authors investigated secure communications in a two-tier downlink HetNet, which comprises one macrocell and several femtocells, and proposed two cooperative STBs which rely on the collaboration among the macrocell base station and the adjacent femtocell base stations (FBSs).