Jun Wang

Jun Wang


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 May 2022 in Computer Communications
Verified
Journal Article
Closed access
ZSZhengyu Song
Zhengyu Song
XQXintong Qin
Xintong Qin
YHYuanyuan Hao
Yuanyuan Hao
THTianwei Hou
Tianwei Hou
JWJun Wang
Jun Wang
XSXin Sun
Xin Sun

18 June 2024 in IEEE Internet of Things Journal
Verified
Journal Article
Closed access
XQXintong Qin
Xintong Qin
ZSZhengyu Song
Zhengyu Song
JWJun Wang
Jun Wang
SDShengyu Du
Shengyu Du
JGJiazi Gao
Jiazi Gao
XSXin Sun
Xin Sun
This article investigates the simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted nonorthogonal multiple access (NOMA) systems with one cooperative jammer and dual eavesdroppers. To guarantee the uplink secure transmission, we maximize the sum secrecy rate under both the perfect and imperfect channel state information (CSI) by jointly optimizing the channel allocation, transmit power, and coefficient matrices. For the problem with perfect CSI, a deep reinforcement learning algorithm is proposed based on the deep deterministic policy gradient (DDPG) framework. Then, by introducing the arbitrary distorted noise to the state space, the proposed algorithm is extended to solve the problem under imperfect CSI without causing additional computational complexity. Simulation results illustrate that: 1) the symmetry of STAR-RIS results in severe information leakage and the sum secrecy rate further degrades when the dual eavesdroppers collaborate with each other; 2) the STAR-RIS with independent phase shift can achieve higher sum secrecy rate than that with coupled phase shift, while the performance gap is trivial when there are fewer STAR-RIS elements; and 3) our proposed algorithm can compensate for the impacts of the imperfect CSI, and the sum secrecy rate decreases with the increase of CSI uncertainty.

30 December 2024 in IEEE Transactions on Communications
Verified
Journal Article
Closed access
KLKecheng Li
Kecheng Li
JWJun Wang
Jun Wang
Tianwei HouTianwei Hou
Tianwei Hou
ALAnna Li
Anna Li
XYXinwei Yue
Xinwei Yue
WCWei Chen
Wei Chen
The increasing quality of service requirements and demand for satellite services necessitate higher data rates, spectral efficiency, and stability in satellite communication networks. Therefore, this paper investigates the non-orthogonal multiple access (NOMA) assisted satellite communication networks, where multiple users are uniformly distributed over a spherical hat according to the homogeneous Poisson point process (HPPP). Based on the characteristics of HPPP, we analyze the distance distributions of users. To evaluate the performance of the proposed networks, we first derive the closed-form expressions and approximated expressions of the outage probability (OP) for paired NOMA users. To obtain more insights into the proposed networks, the ergodic rate and diversity orders for paired NOMA users are also derived. Spectral efficiency is derived for NOMA and orthogonal multiple access (OMA) assisted satellite communication networks. Our analytical results demonstrate that the diversity order of the proposed networks is all one. Numerical results confirm that: 1) compared to OMA, the proposed NOMA-assisted satellite network demonstrates superior outage performance and spectral efficiency, especially in the higher power regimes; 2) fading factors have negligible effects on OP and spectral efficiency; and 3) under certain target rates for both near and far users, the outage performance of far users in NOMA-assisted satellite communication networks is superior to that of near users.

20 May 2016 in Multidimensional Systems and Signal Processing
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Journal Article
Closed access
PDF file
JWJun Wang
Jun Wang
WZWei Zhang
Wei Zhang
Wei LiuWei Liu
Wei Liu

2 December 2020 in Wireless Communications and Mobile Computing
Verified
Journal Article
Open access
PDF file
HMHao Ma
Hao Ma
JWJun Wang
Jun Wang
XSXin Sun
Xin Sun
Tianwei HouTianwei Hou
Tianwei Hou
WJWenxin Jin
Wenxin Jin
This paper investigates a novel design for joint radar-communication (JRC) waveform, which is capable of improving the network’s performance by solving the phase shift mutation of the Chirp-BPSK waveform. We aim for jointly designing chirp waveform and improving Binary Phase Shift Keying (BPSK), as well as the hybrid chaotic spread spectrum code (CSSC). As a benefit, the JRC waveform can be successfully decoded, and the accumulation of phase shift can be suppressed by hybrid CSSC. The detailed deduction on the short-time Fourier transform (STFT) of the JRC waveform is adopted to analyse the complicated AF characters. Our analytical results demonstrate that the proposed JRC signal has superior spectrum performance, ambiguity function (AF), and transmission rate than conventional Chirp and Chirp-BPSK waveform. Numerical results are provided to confirm that (i) the proposed waveform is capable of providing better communication and radar performance; (ii) the performance of AF is not affected by the transmission rate for the proposed waveform.

14 October 2023 in Information
Verified
Journal Article
Open access
PDF file
HMHao Ma
Hao Ma
JWJun Wang
Jun Wang
XSXin Sun
Xin Sun
WJWenxin Jin
Wenxin Jin
In this paper, we propose a multi-beam integrated radar and communication scheme using phased-array antenna, in which the same LFM-BPSK integrated waveform is used for both the radar and the communication beams. In the integrated beam design, the radar beam is periodically scanned in different directions for detection, and the communication beam is periodically manipulated in one direction for communication. The system’s beamforming uses adaptive beamforming technology to achieve radar echoes and communication reception. For the LFM-BPSK integrated waveform used by the system, we propose a method for estimating parameters during communication reception. Through simulation, the proposed beam-pattern design, adaptive beamforming, and parameter estimation scheme can achieve radar and communication functions using phased-array antennas.