Area Spectral Efficiency Analysis and Energy Consumption Minimization in Multi-Antenna Poisson Distributed Networks

Zheng, Chen; Qiu, Ling; Liang, Xiaowen

doi:10.1109/twc.2016.2547912

Cited by 35 publications

(31 citation statements)

References 27 publications

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“…Moreover, the impact of interference-driven correlation on receiver arrays in ad-hoc network as well as the downlink of a single-tier cellular network was investigated in [49] and [50]. The authors of [51], [52], [53] demonstrated the importance of theoretical results developed in [7], [40], [42] for the optimization of MIMO ellular systems. For instance, in [52], the coverage probability, spectral efficiency, and load balancing in MIMO systems were considered.…”

Section: Related Workmentioning

confidence: 99%

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Coverage Performance in MIMO-ZFBF Dense HetNets with Multiplexing and LOS/NLOS Path-Loss Attenuation

Khoshkholgh

Navaie

Shin

et al. 2020

IEEE Trans. on Mobile Comput.

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The performance of multiple-input multiple-output (MIMO) multiplexing heterogenous cellular networks are often analyzed using a single-exponent path-loss model. Thus, the effect of the expected line-of-sight (LOS) propagation in densified settings is unaccounted for, leading to inaccurate performance evaluation and/or inefficient system design. This is due to the complexity of LOS/non-LOS models in the context of MIMO communications. We address this issue by developing an analytical framework based on stochastic geometry to evaluate the coverage performance. We focus on the zero-forcing beamforming where the maximum signal-to-interference ratio is used for cell association. We analytically derive the coverage. We then investigate the cross-stream interference correlation, and develop two approximations of the coverage: Alzer Approximation (A-A) and Gamma Approximation (G-A). The former is often used in the single antenna and single-stream MIMO. We extend A-A to a MIMO multiplexing system and evaluate its utility. We show that the inverse interference is well-fitted by a Gamma random variable, where its parameters are directly related to the system parameters. The accuracy and robustness of G-A is higher than that of A-A. We observe that depending on the multiplexing gain, it is possible to attain the best coverage probability by proper densification.

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Section: Related Workmentioning

confidence: 99%

“…For instance, in [52], the coverage probability, spectral efficiency, and load balancing in MIMO systems were considered. Further, [51] optimized ASE and energyefficiency in uplink/downlink multi-user MIMO system. For managing inter-cell interference, [54] investigated the coupled optimized offloading and coordinated MIMO communications.…”

Section: Related Workmentioning

confidence: 99%

Coverage Performance in MIMO-ZFBF Dense HetNets with Multiplexing and LOS/NLOS Path-Loss Attenuation

Khoshkholgh

Navaie

Shin

et al. 2020

IEEE Trans. on Mobile Comput.

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“…Further, concerning CoMP among BSs, the coverage probabilities for a typical UE in heterogeneous downlink networks was studied in [11], [12], and the signal-to-interference ratio (SIR) meta distribution for both the general UE and the worst-case UE under the Poisson multiple-tier cellular networks was analyzed in [13]. Most recently, stochastic geometry was integrated with optimization theory for optimal design and performance analysis of cellular networks, see e.g., [14]- [17].…”

Section: Introductionmentioning

confidence: 99%

Coordinated Multi-Point Transmission: A Poisson-Delaunay Triangulation Based Approach

Xia²,

Aı̈ssa³

2020

IEEE Trans. Wireless Commun.

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Coordinated multi-point (CoMP) transmission is a cooperating technique among base stations (BSs) in a cellular network, with outstanding capability at inter-cell interference (ICI) mitigation. ICI is a dominant source of error, and has detrimental effects on system performance if not managed properly. Based on the theory of Poisson-Delaunay triangulation, this paper proposes a novel analytical model for CoMP operation in cellular networks. Unlike the conventional CoMP operation that is dynamic and needs on-line updating occasionally, the proposed approach enables the cooperating BS set of a user equipment (UE) to be fixed and off-line determined according to the location information of BSs. By using the theory of stochastic geometry, the coverage probability and spectral efficiency of a typical UE are analyzed, and simulation results corroborate the effectiveness of the proposed CoMP scheme and the developed performance analysis.

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“…With the dense deployment of BSs in HCN, more and more attention has been paid to the energy efficiency (EE) of HCN [21][22][23][24]. In [25][26][27][28][29], the EE of HCN under the PPP model is studied, and the strategies to optimize the EE are proposed from the aspects of transmit power, BS sleeping, BS density and so on.…”

Section: Introductionmentioning

confidence: 99%

Coverage and Energy Efficiency Analysis for Two-Tier Heterogeneous Cellular Networks Based on Matérn Hard-Core Process

2019

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Due to the dense deployment of base stations (BSs) in heterogeneous cellular networks (HCNs), the energy efficiency (EE) of HCN has attracted the attention of academia and industry. Considering its mathematical tractability, the Poisson point process (PPP) has been employed to model HCNs and analyze their performance widely. The PPP falls short in modeling the effect of interference management techniques, which typically introduces some form of spatial mutual exclusion among BSs. In PPP, all the nodes are independent from each other. As such, PPP may not be suitable to model networks with interference management techniques, where there exists repulsion among the nodes. Considering this, we adopt the Matérn hard-core process (MHCP) instead of PPP, in which no two nodes can be closer than a repulsion radius from one another. In this paper, we study the coverage performance and EE of a two-tier HCN modelled by Matérn hard-core process (MHCP); we abbreviate this kind of two-tier HCN as MHCP-MHCP. We first derive the approximate expression of coverage probability of MHCP-MHCP by extending the approximate signal to interference ratio analysis based on the PPP (ASAPPP) method to multi-tier HCN. The concrete SIR gain of the MHCP model relative to the PPP model is derived through simulation and data fitting. On the basis of coverage analysis, we derive and formulate the EE of MHCP-MHCP network. Simulation results verify the correctness of our theoretical analysis and show the performance difference between the MHCP-MHCP and PPP modelled network.

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Area Spectral Efficiency Analysis and Energy Consumption Minimization in Multi-Antenna Poisson Distributed Networks

Cited by 35 publications

References 27 publications

Coverage Performance in MIMO-ZFBF Dense HetNets with Multiplexing and LOS/NLOS Path-Loss Attenuation

Coverage Performance in MIMO-ZFBF Dense HetNets with Multiplexing and LOS/NLOS Path-Loss Attenuation

Coordinated Multi-Point Transmission: A Poisson-Delaunay Triangulation Based Approach

Coverage and Energy Efficiency Analysis for Two-Tier Heterogeneous Cellular Networks Based on Matérn Hard-Core Process

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