Energy Efficient Beamforming for User-Centric Virtual Cell Networks

Shi, Jianfeng; Xu, Hao; Yang, Zhaohui; Chen, Ming

doi:10.1109/tgcn.2019.2910827

Cited by 8 publications

(3 citation statements)

References 46 publications

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“…After forming the user-centric overlapped virtual cell cluster and allocating PRB to each UE, we will solve the user-centric power allocation problem. Relying on the user association matrix X and the PRB allocation matrix Y , the problem (5) is converted into the problem (13) where…”

Section: Power Allocationmentioning

confidence: 99%

“…Thus, utilizing the structure of objective function, the DC programming method [21][22][23][24][25] can be applied to convert the objective function of (13) into f (p) − g(p) . In the similar manner, C5 can be written as (13)…”

Section: Power Allocationmentioning

confidence: 99%

“…Then they select the appropriate activation radius based on the cell load. In [12], the authors propose a beamforming problem to maximize the sum-rate in a virtual cell network [13] formulate an energy efficiency maximization problem in the user-centric virtual cell networks by optimizing beamforming vectors and access points cluster, and considering both rate requirements and power budgets.…”

mentioning

confidence: 99%

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A QoS-based joint user association and resource allocation scheme in ultra-dense networks

Chuai

Gao

et al. 2021

J Wireless Com Network

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Ultra-dense networks (UDNs) have become an important architecture for the fifth generation (5G) networks. A large number of small base stations (SBSs) are deployed to provide high-speed and seamless connections for users in the network. However, the advantage of increasing the system capacity brought by the dense distribution of SBSs comes at the cost of severe inter-cell interference. Although the user-centric virtual cell method has been proposed to solve the interference problem, some challenges have been encountered in practical applications. For example, inter-cell interference still exists to a certain extent, and the cell load may be imbalance. Hence, under the virtual cell architecture, we propose a quality of service (QoS)-based joint user association and resource allocation scheme in UDNs. In order to mitigate the interference, balance cell load and improve the system throughput, a non-convex NP-hard problem is formulated. To effectively solve this problem, we decouple the formulated problem into three sub-problems: user association, physical resource block (PRB) allocation and power allocation. First, we consider the QoS requirements of user equipment (UE) and perform user association based on the PRB estimation method. Then, based on the overlapped virtual cells constructed, we propose a graph-based PRB allocation scheme for reducing virtual inter-cell interference. Moreover, we solve power allocation sub-problem by using the difference of concave (DC) programing method. The simulation results show that our proposed scheme is superior to other schemes in terms of user rates, cell load and system throughput.

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Section: Power Allocationmentioning

confidence: 99%