NDLI: On ML-decoders in a two user interference channel with slow flat fading

Content Provider	IET Digital Library
Author	Zhang, Fuhong Li, Lin Zhao, Zhijin Wang, Haiquan
Abstract	In this study, according to whether the receiver has the channel state information (CSI) and knows the co-user's codebook or not, different maximum-likelihood (ML)-decoders are designed for a two user interference channel with slow flat fading. For each of the proposed ML-decoders, performance analysis based on pair-wise error probability is given. Although the importance of the CSI to the receiver is well investigated, these analyses reveal the fact that it also has much impact on the performance if the co-user's codebook is known to the receiver. The analyses also tell us that to decode out interference signals is not only unnecessary, but also reduces the performance, although it has been shown that the method of decoding out the interference signal first and then subtracting it from the received signal is an efficient way to achieve the capacity region of the Gaussian interference channel under some conditions and also is applied into practical systems.
Starting Page	1467
Ending Page	1476
Page Count	10
ISSN	17518628
Volume Number	8
e-ISSN	17518636
Issue Number	Issue 9, Jun (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/8/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2013.0954
Journal	IET Communications
Publisher Date	2014-04-25
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Channel Capacity Channel State Information Code Couser Codebook CSI Electromagnetic Compatibility Error Statistics Fading Channel Gaussian Interference Channel Capacity Region Gaussian Processes Interference Interference Signal Decoding Maximum Likelihood Decoding ML-decoders Pair-wise Error Probability Performance Analysis Radio Frequency Interference Radio Link And Equipment Slow Flat Fading Statistics User Interference Channel Wireless Communication
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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