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A Successful Transmission Probability Based ap clustering Scheme in User-Centric Cell-Free Networks

China Communications 2022年第12期19卷 118-128页

作者： Xiaokang Zhou Huiyun Xia Shaochuan Wu School of Electronics and Information Engineering Harbin Institute of TechnologyHarbin 150001China

Cell-free network is a promising architecture with numerous merits in energy efficiency and macro diversity,which is easy and flexible to integrate with other communication ***,its current network topology where access points(aps)are connected to a central processing unit(CPU)to jointly serve the users,causes huge burden to the fronthaul *** deal with this problem,in this paper,we first combine thoughts in user-centric(UC)network where users are served by selected subset of ***,we propose a successful transmission probability(STP)based ap clustering scheme to reduce the fronthaul capacity requirement(FCR).By using stochastic geometry and proper approximation methods,the approximated STP calculation expression is *** simulations demonstrate that the obtained STP expression can provide a tight approximation compared to Monte Carlo simulation results under different system parameters while keeping the computation ***,the relationship between the FCR and the STP threshold is formulated as a clustering optimization problem,which gives insights on clustering design in UC-CF network *** show by simulation results that the proposed scheme requires less fronthaul capacity than the original CF approach while ensuring the STP performance.

关键词： cell-free network user-centric network ap clustering

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Mobility-driven user-centric ap clustering in mobile edge computing-based ultra-dense networks

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Digital Communications and Networks 2020年第2期6卷 210-216页

作者： Shuxin He Tianyu Wang Shaowei Wang School of Electronic Science and Engineering Nanjing UniversityNanjing210000China National Mobile Communications Research Laboratory Southeast UniversityNanjing 210096China

ultra-Dense Network(UDN)has been envisioned as a promising technology to provide high-quality wireless connectivity in dense urban areas,in which the density of Access Points(aps)is increased up to the point where it is comparable with or surpasses the density of active mobile *** order to mitigate inter-ap interference and improve spectrum efficiency,aps in UDNs are usually clustered into multiple groups to serve different mobile users,***,as the number of aps increases,the computational capability within an ap group has become the bottleneck of ap *** this paper,we first propose a novel UDN architecture based on Mobile Edge Computing(MEC),in which each MEC server is associated with a user-centric ap cluster to act as a mobile *** addition,in the context of MEC-based UDN,we leverage mobility prediction techniques to achieve a dynamic ap clustering scheme,in which the cluster structure can automatically adapt to the dynamic distribution of user traffic in a specific *** results show that the proposed scheme can highly increase the average user throughput compared with the baseline algorithm using max-SINR user association and equal bandwidth allocation,while it guarantees at the same time low transmission delay.

关键词： ap clustering Dynamic user traffic Mobile edge computing Mobility-driven ultra-dense Networks

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