Uncertainty-aware temperature field reconstruction from sparse samples and sensing via latent-space enhancement for GIS digital twin applications. [PDF]
Wang J +7 more
europepmc +1 more source
CRAC-DM: class relation-aware categorical diffusion model for surgical scene segmentation. [PDF]
Zhou Y, Xu C, Awad Z, Giannarou S.
europepmc +1 more source
Joint decode/compress and forward based cooperative multiple access
In this paper, we develop encoding and decoding strategies for a two user cooperative multiple access channel, based on the joint use of decode-forward and compress-forward techniques. We derive the resulting achievable rate expressions. We compare our results with some known rate regions for bidirectional cooperation, and demonstrate through ...
Onur Kaya
exaly +4 more sources
A Novel Quantization Scheme in Compress-and-Forward Relay System
In this paper, we extend a well-developed quantization scheme to block fading relay system using compress-and-forward and propose a new achievable rate based quantization scheme (ARBQS). A new signal combination scheme with less complexity is also proposed accordingly.
Yinan Qi, Reza Hoshyar, Rahim Tafazolli
openaire +3 more sources
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An achievable rate for relay networks based on compress-and-forward strategy
IEEE Communications Letters, 2010Compress-and-Forward (CF) is a well-known coding strategy proposed for relay channels. Few works which were done about the generalization of the CF strategy to the relay networks, are based on irregular encoding/successive decoding. In this paper, a new generalization of the CF strategy to the relay networks based on regular encoding/backward decoding ...
Mohammad Reza Aref +2 more
exaly +2 more sources
Scalar and Vector Compress and Forward for the Two Way Relay Channels
2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), 2016Both scalar and vector quantization are studied when Compress and Forward (CF) is performed in the Two Way Relay Channels. The optimization schemes of these two kinds of quantizers aiming to maximize the sum rate are proposed. The optimization schemes are a combination of the Information Bottleneck (IB) method and the Bi- Section method.
Volker Kuehn
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On the generalization of decode-and-forward and compress-and-forward for Gaussian relay channels
2011 IEEE Information Theory Workshop, 2011In this paper, the generalization of the decode-and-forward (DF) and compress-and-forward (CF) relaying schemes is studied for the case in which Gaussian codebooks are used for signalling over scalar Gaussian memoryless channels. Three SNR regions are identified wherein the generalized DF-CF scheme reduces to either the DF or the CF scheme. In addition,
Ramy H Gohary, Halim Yanikomeroglu
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Achievable rate regions for broadcast channels with compress-and-forward relaying
2012 46th Annual Conference on Information Sciences and Systems (CISS), 2012The achievable rate regions are studied for the broadcast systems with relay links via the compress-and-forward strategy. In many cases, we can benefit more from compress-and-forward relaying in broadcast channels than from decode-and-forward relaying. In particular, we can achieve physical layer security when using the compress-and-forward scheme.
exaly +2 more sources
Compress-and-forward strategy for the relay broadcast channel with confidential messages
2016 IEEE International Conference on Communications Workshops (ICC), 2016In this paper, we re-visit the relay broadcast channel with confidential messages (RBC-CM) by considering a compress-and-forward (CF) inner bound on the capacity-equivocation region of the RBC-CM. This CF inner bound is further explained via a degraded Gaussian example, and we show that in some particular cases, the CF strategy performs better than the
Zheng Ma
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