Regularized interference alignment for heterogeneous networks

Zhang, Jinbo; Qu, Su; Zhang, Hang

doi:10.1109/iccsn.2016.7586648

Cited by 2 publications

(2 citation statements)

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“…6G is expected to be more heterogeneous than 5G, thus presenting more promising scenes for computation offloading due to the proximity of UEs to SBSs, higher capacity, and lower latency. However, the increase in SBSs raises high energy costs, and the closeness of SBSs to one another can generate severe co-channel interference [2,51]. Co-channel interference can immensely complicate the computation offloading decision, which is determined by the wireless transmission condition.…”

Section: Interferencementioning

confidence: 99%

Beyond 5G networks: Integration of communication, computing, caching, and control

et al. 2023

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In recent years, the exponential proliferation of smart devices with their intelligent applications poses severe challenges on conventional cellular networks. Such challenges can be potentially overcome by integrating communication, computing, caching, and control (i4C) technologies. In this survey, we first give a snapshot of different aspects of the i4C, comprising background, motivation, leading technological enablers, potential applications, and use cases. Next, we describe different models of communication, computing, caching, and control (4C) to lay the foundation of the integration approach. We review current stateof-the-art research efforts related to the i4C, focusing on recent trends of both conventional and artificial intelligence (AI)-based integration approaches. We also highlight the need for intelligence in resources integration. Then, we discuss the integration of sensing and communication (ISAC) and classify the integration approaches into various classes. Finally, we propose open challenges and present future research directions for beyond 5G networks, such as 6G.

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Section: Interferencementioning

confidence: 99%

Beyond 5G networks: Integration of communication, computing, caching, and control

et al. 2023

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“…Its results prove that the SINR statistics deliver better performance in terms of Mittag-Leffler's function. Another interference mitigation approach for low Signal to Noise Ratio (SNR) region is proposed in [91]. In this method, the IA scheme is optimized by the weighted minimum mean square error (W-MMSE).…”

Section: Heterogeneous Network (Hetnets)mentioning

confidence: 99%

Interference management issues for the future 5G network: a review

et al. 2019

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The future wireless Fifth Generation (5G) communication network required a higher bandwidth in order to achieve greater data rate. It will be largely characterized by small cell deployments, typically in the range of 200 meters of radius/cell, at most. The implementation of small size networks delivers various advantages such as high data rate and low signal delay. However, it also suffers from various issues such as inter-cell, intra-cell, and inter-user interferences. This paper discusses the issues related to interference management for 5G network from the perspective of Heterogeneous Network and Deviceto-Device communication, by using enabling techniques, such as Inter-cell Interference Coordination, Coordinated Multipoint, and Coordinated Scheduling. Furthermore, several pertinent issues have been critically reviewed focusing on their methodologies, advantages and limitations along with the future work. Future directions proposed by the 3rd Generation Partnership Project for interference mitigation has also been outlined. This review will act as a guide for the researchers to comprehend various existing and emerging enabling interference mitigation techniques for further exploration and smooth implementation of 5G wireless network.

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Regularized interference alignment for heterogeneous networks

Cited by 2 publications

References 10 publications

Beyond 5G networks: Integration of communication, computing, caching, and control

Beyond 5G networks: Integration of communication, computing, caching, and control

Interference management issues for the future 5G network: a review

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