Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Ge Yiqun"'
Autor:
Qian, Jingjing, Salehkalaibar, Sadaf, Chen, Jun, Khisti, Ashish, Yu, Wei, Shi, Wuxian, Ge, Yiqun, Tong, Wen
This paper studies the rate-distortion-perception (RDP) tradeoff for a Gaussian vector source coding problem where the goal is to compress the multi-component source subject to distortion and perception constraints. The purpose of imposing a percepti
Externí odkaz:
http://arxiv.org/abs/2406.18008
Autor:
Kalfa, Mert, Yetim, Sadik Yagiz, Atalik, Arda, Gok, Mehmetcan, Ge, Yiqun, Li, Rong, Tong, Wen, Duman, Tolga Mete, Arikan, Orhan
Semantic signal processing and communications are poised to play a central part in developing the next generation of sensor devices and networks. A crucial component of a semantic system is the extraction of semantic signals from the raw input signal
Externí odkaz:
http://arxiv.org/abs/2211.05440
Rate-distortion-perception theory generalizes Shannon's rate-distortion theory by introducing a constraint on the perceptual quality of the output. The perception constraint complements the conventional distortion constraint and aims to enforce distr
Externí odkaz:
http://arxiv.org/abs/2204.06049
Autor:
Zhou, Siyao, Salehkalaibar, Sadaf, Qian, Jingjing, Chen, Jun, Shi, Wuxian, Ge, Yiqun, Tong, Wen
A distributed lossy compression network with $L$ encoders and a decoder is considered. Each encoder observes a source and sends a compressed version to the decoder. The decoder produces a joint reconstruction of target signals with the mean squared e
Externí odkaz:
http://arxiv.org/abs/2201.07784
The wireless network is undergoing a trend from "onnection of things" to "connection of intelligence". With data spread over the communication networks and computing capability enhanced on the devices, distributed learning becomes a hot topic in both
Externí odkaz:
http://arxiv.org/abs/2108.00231
To improve the system performance towards the Shannon limit, advanced radio resource management mechanisms play a fundamental role. In particular, scheduling should receive much attention, because it allocates radio resources among different users in
Externí odkaz:
http://arxiv.org/abs/2103.11542
Autor:
Xu, Chen, Wang, Jian, Yu, Tianhang, Kong, Chuili, Huangfu, Yourui, Li, Rong, Ge, Yiqun, Wang, Jun
In this paper, the downlink packet scheduling problem for cellular networks is modeled, which jointly optimizes throughput, fairness and packet drop rate. Two genie-aided heuristic search methods are employed to explore the solution space. A deep rei
Externí odkaz:
http://arxiv.org/abs/1911.05281
Autor:
Huangfu, Yourui, Wang, Jian, Xu, Chen, Li, Rong, Ge, Yiqun, Wang, Xianbin, Zhang, Huazi, Wang, Jun
In this paper, we propose a neural-network-based realistic channel model with both the similar accuracy as deterministic channel models and uniformity as stochastic channel models. To facilitate this realistic channel modeling, a multi-domain channel
Externí odkaz:
http://arxiv.org/abs/1907.09117
Integrating artificial intelligence (AI) into wireless networks has drawn significant interest in both industry and academia. A common solution is to replace partial or even all modules in the conventional systems, which is often lack of efficiency a
Externí odkaz:
http://arxiv.org/abs/1905.05914
In this paper, we propose a type of $G_N$-coset codes for a highly parallel stage-permuted turbo-like decoder. The decoder exploits the equivalence between two stage-permuted factor graphs of $G_N$-coset codes. Specifically, the inner codes of a $G_N
Externí odkaz:
http://arxiv.org/abs/1904.13182