Han Deng;Dengfeng Xia;Han Cai;Qifa Yan;Peng Xu;Bin Dai
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引用次数: 0
Abstract
In this article, the relay network (RN) with receiver-transmitter feedback is investigated. First, we propose an efficient feedback coding scheme for the additive white Gaussian noise (AWGN) RN with noiseless receiver-transmitter feedback, which generalizes the Schalkwijk–Kailath (SK) type scheme for the AWGN channel with a single relay and noiseless receiver-transmitter feedback. The corresponding achievable rate of our proposed scheme is obtained under fixed coding block length and the receiver's decoding error probability, and it is shown that channel feedback significantly enhances the achievable rate of the same model without feedback. Then, we extend the above scheme to the same model with an AWGN feedback channel, where a modulo lattice function is applied to mitigate the impact of the feedback channel noise on the performance of the SK-type scheme. Finally, we further extend our proposed scheme to the quasi-static Rayleigh fading RN by using a precoding strategy. The results of this article are further explained via numerical examples, and this article provides a new method to construct low complexity coding schemes for relay networks.
期刊介绍:
This publication provides a systems-level, focused forum for application-oriented manuscripts that address complex systems and system-of-systems of national and global significance. It intends to encourage and facilitate cooperation and interaction among IEEE Societies with systems-level and systems engineering interest, and to attract non-IEEE contributors and readers from around the globe. Our IEEE Systems Council job is to address issues in new ways that are not solvable in the domains of the existing IEEE or other societies or global organizations. These problems do not fit within traditional hierarchical boundaries. For example, disaster response such as that triggered by Hurricane Katrina, tsunamis, or current volcanic eruptions is not solvable by pure engineering solutions. We need to think about changing and enlarging the paradigm to include systems issues.