Yong Liang Guan

Data-aided Channel Estimation and Sensing With Sparse Bayesian Learning for AFDM-ISAC System

Yirui Luo, Yong Liang Guan, Yao Ge, Yonghong Jiang, Lingsheng Meng, David González G

Affine frequency division multiplexing (AFDM) has emerged as a promising waveform for next-generation integrated sensing and communication (ISAC) systems. However, it becomes challenging to improve spectral efficiency while simultaneously obtaining accurate channel and sensing-re…Read more

Dual-Mapping Sparse Vector Coding for Phase Noise-Resilient Short-Packet Transmission

Yanfeng Zhang, Xi'an Fan, Xu Zhu, Yujie Liu, Jinkai Zheng, Weiwei Yang, et al.

Sparse vector transmission (SVT) has emerged as a promising technique for ultra-reliable low-latency short-packet communications. However, existing SVT schemes typically assume negligible phase noise (PN), an assumption that rarely holds in practical wireless systems. In this pap…Read more

Performance Analysis of NOMA in Vehicular Communications Over i.n.i.d Nakagami-<i>m</i> Fading Channels

Dhaval K. Patel, Hetal Shah, Zhiguo Ding, Yong Liang Guan, Sumei Sun, Yoong Choon Chang, et al.

This paper investigates the performance of non-orthogonal multiple access (NOMA) in vehicular networks where a base station (BS) communicates with the vehicles moving away from the BS with single-input multiple-output. To combine the signals received at the antennas, diversity co…Read more

On the energy detection performance of multi‐antenna correlated receiver for vehicular communication using MGF approach

Sagar Kavaiya, Dhaval K. Patel, Yong Liang Guan, Sumei Sun, Yoong Choon Chang, Joanne Lim

In this work, energy detection‐based spectrum sensing for multiple antenna receiver under the effect of mobility is investigated by considering L number of correlated antenna branches. The authors consider the uniform, exponential and arbitrarily correlation among the antenna bra…Read more

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