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- 저자 : Haotong Cao (검색결과 2 건)
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Haotong Cao,Hongbo Zhu,Longxiang Yang 한국통신학회 2020 Journal of communications and networks Vol.22 No.1
Virtual network embedding (VNE) is the virtualized nodeand link resources allocation problem in network virtualization environment,aiming at achieving the simultaneous optimal node andlink mapping assignment per VN. Currently, a large number ofmapping algorithms for VNE exist in the academia. Existing algorithmsmostly focus on mapping each virtual network (VN) intwo ordered stages: First virtual node mapping stage and secondvirtual link mapping stage, leading to non-optimal VN mappingassignment. Though multiple one-stage algorithms exist, adoptingeither optimization theory or graph theory, they usually involvemuch more VN assignment calculation time. Hence, theseone-stage algorithms are not suitable for dynamic network scenario. Not to mention practical VNE application. Based on thebackground and our gained research results, we propose anotherheuristic mapping algorithm VNE-ARS, completing all nodes andlinks per VN in one single embedding stage. Each VN embeddingassignment can be completed in polynomial time, using ourVNE-ARS. Main network attributes and resources are collaborated,serving as the mapping criterion of our VNE-ARS. In orderto highlight our VNE-ARS strength, we conduct the evaluation experiments. We compare our VNE-ARS algorithm against existingmapping algorithms.
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Cell-Free Massive MIMO: Zero Forcing and Conjugate Beamforming Receivers
Yao Zhang,Haotong Cao,Meng Zhou,Longxiang Yang 한국통신학회 2019 Journal of communications and networks Vol.21 No.6
In this paper, the uplink performance of cell-free massivemulti-input multi-output (mMIMO) system with the zero-forcing(ZF) and conjugate beamforming (CB) receivers is investigated. Anovel tight approximate rate expression for the ZF receiver is derived,which provides us with a tool for easily quantifying the impactsof the multi-antenna access point (AP), estimation error, pilotcontamination, and power control scheme. Then, leveraging on thetrackable ZF rate expression and the pre-studied CB rate expression,two power control algorithms are proposed. In particular, thefirst algorithm elaborates on maximizing the total rate, subjectingto the quality-of-service (QoS) constraint and each user power constraint. This algorithm utilizes the sequential convex approximationmethod to solve the non-convex issues. In addition, the secondaims at maximizing the rate of one user, in which the remainingusers can meet their QoS constraints. It can be characterized as ageometry programming. Simulation results are provided to showthat the ZF receiver is superior to the CB receiver in terms of sumrate and our proposed algorithms work well in many respects.
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