Millimeter-Wave Coordinated Beamforming Enabled Cooperative Network: A Stochastic Geometry Approach

Fang, Sisai; Chen, Gaojie; Xu, Xiaodong; Han, Shujun; Tang, Jie

doi:10.1109/tcomm.2020.3035387

Cited by 6 publications

(3 citation statements)

References 37 publications

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“…Eq. (11) indicates that the receiver performs scanning for each beam to identify the serving BS by jointly considering both the angular distance of the BSs, from the direction of each beam's maxima, and the Euclidean distance of the BSs, respectively to maximize the received power.…”

Section: E User Association and Beam Selection Policymentioning

confidence: 99%

Comprehensive Analysis of Maximum Power Association Policy for Cellular Networks Using Distance and Angular Coordinates

Armeniakos,

Kanatas,

Dhillon

2024

IEEE Trans. Wireless Commun.

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Section: E User Association and Beam Selection Policymentioning

confidence: 99%

Comprehensive Analysis of Maximum Power Association Policy for Cellular Networks Using Distance and Angular Coordinates

Armeniakos,

Kanatas,

Dhillon

2024

IEEE Trans. Wireless Commun.

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“…In [10], the authors present a solution for the allocation of resources in a MIMO system by optimizing the Beamforming vectors, the results show that the proposal has advantages over traditional resource allocation methods. In [11], the authors present a performance analysis of 5G networks for small cells using beamforming operating in mmWaves, coexisting with macro cells. In [12] a proposal for the design of a heterogeneous cellular network with high energy efficiency is presented.…”

Section: Mathematical Analysis For Performance Evaluation Of Beamform...mentioning

confidence: 99%

Mathematical Analysis for Performance Evaluation of Beamforming Technique using SIR

Vásquez-Toledo

Tirado‐Méndez

Pascoe-Chalke

et al. 2022

Preprint

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In this paper, three scenarios for cellular communications are analyzed and compared, taking into account the Signal-to-Interference Ratio (SIR), and Average Data Rate. The analysis involves the coverage analysis that includes the derivation of the mathematical expressions for the coverage user probability distribution, the SIR and the transmission rate. The three scenarios are: universal reuse, sectorization by cell and cell sectorization with Beamforming. Results show that Beamforming out-performs the others, presenting an increment in the average SIR up to 10 dB. Also, it offers an improvement in Data Rate which is 27% better in the ring 1, 113% better in the ring 2 and 700% better in the ring 3.

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“…In [19], the authors investigated the user-cell association problem for energy efficiency and spectral efficiency trade-off, and a Lagrange duality and game-based user-cell association algorithm was developed. e probability expressions for cell association in terms of different cell association bias values, BS density ratios, and probabilities of line of sight link are given, and the relationship between coordinated cluster and average energy efficiency is obtained in reference [20]. In [21], the authors investigated the energy consumption minimization problem by jointly optimizing the BS sleeping and cell association under the constraints of SINR and power.…”

Section: Related Workmentioning

confidence: 99%

IMPSO and Linear Programming-Based Energy-Efficient Cell Association Algorithm for Backhaul-Constrained Ultra-Dense Small-Cell Networks

Jiang

Zhu

Song

et al. 2021

Mathematical Problems in Engineering

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This paper studies the energy efficiency optimization problem for coordinated multipoint (CoMP)-enabled and backhaul-constrained ultra-dense small-cell networks (UDNs). Energy efficiency is an eternal topic for future wireless communication networks; however, taking actual bottleneck of the backhaul link and the coordinated network architecture into consideration, it is difficult to find an effective way to improve the energy efficiency of the network. Aiming at this problem, we propose to combine cell association, subchannel allocation, backhaul resource allocation, and sleep/on of the cells together to develop an optimization algorithm for energy efficiency in UDN and then solve the formulated energy efficiency optimization problem by means of improved modified particle swarm optimization (IMPSO) and linear programming in mathematics. Simulation results indicate that nearly 13 % energy cost saving and 21 % energy efficiency improvement can be obtained by combining IMPSO with linear programming, and the backhaul link data rate can be improved by 30 % as the number of small cells increases. From the results, it can be found that by combining IMPSO with linear programming, the proposed algorithm can improve the network energy efficiency effectively at the expense of limited complexity.

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Millimeter-Wave Coordinated Beamforming Enabled Cooperative Network: A Stochastic Geometry Approach

Cited by 6 publications

References 37 publications

Comprehensive Analysis of Maximum Power Association Policy for Cellular Networks Using Distance and Angular Coordinates

Comprehensive Analysis of Maximum Power Association Policy for Cellular Networks Using Distance and Angular Coordinates

Mathematical Analysis for Performance Evaluation of Beamforming Technique using SIR

IMPSO and Linear Programming-Based Energy-Efficient Cell Association Algorithm for Backhaul-Constrained Ultra-Dense Small-Cell Networks

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