Throughput analysis of interference-limited MIMO-based cellular systems

Pupala, Rahul N.; Greenstein, L.J.; Daut, D.G.

doi:10.1109/twc.2010.06.081655

Cited by 14 publications

(4 citation statements)

References 13 publications

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“…We apply standard path loss propagation model with path loss exponent α > 2. Since cellular networks are typically interference limited [23], we neglect the effect of the thermal noise in this paper. The small scale fading on each link is i.i.d.…”

Section: A Network Modelmentioning

confidence: 99%

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

Zheng¹,

Qiu²,

Liang³

2016

IEEE Trans. Wireless Commun.

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This paper aims at answering two fundamental questions: how area spectral efficiency (ASE) behaves with different system parameters; how to design an energy-efficient network. Based on stochastic geometry, we obtain the expression and a tight lower-bound for ASE of Poisson distributed networks considering multi-user MIMO (MU-MIMO) transmission. With the help of the lower-bound, some interesting results are observed. These results are validated via numerical results for the original expression. We find that ASE can be viewed as a concave function with respect to the number of antennas and active users. For the purpose of maximizing ASE, we demonstrate that the optimal number of active users is a fixed portion of the number of antennas. With optimal number of active users, we observe that ASE increases linearly with the number of antennas. Another work of this paper is joint optimization of the base station (BS) density, the number of antennas and active users to minimize the network energy consumption. It is discovered that the optimal combination of the number of antennas and active users is the solution that maximizes the energy-efficiency. Besides the optimal algorithm, we propose a suboptimal algorithm to reduce the computational complexity, which can achieve near optimal performance. Index TermsArea spectral efficiency, network energy consumption, multi-user MIMO, stochastic geometry.

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Section: A Network Modelmentioning

confidence: 99%

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

Zheng¹,

Qiu²,

Liang³

2016

IEEE Trans. Wireless Commun.

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“…It is also validated that the performance of the approximate PSR scheme β = cρM +ρm+λ cρM +ρm+cλ is quite close to that of the optimal PSR scheme. Optimal network energy consumption of the original density problems (29) with the perfect PSR scheme, the approximate PSR scheme β = cρ M +ρm+λ cρ M +ρm+cλ , and the reinforced problem (33). A capacity extension example with the parameter setting:…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

“…Wireless channel gain is modeled as path-loss multiplied by the Rayleigh fading, and no power control scheme is assumed. The noise is ignored, because typical cellular networks are interference-limited [29], especially for downlink transmissions. We also assume that the β-PSR scheme is adopted, where each micro BS can only allocate a portion β of the whole system spectrum (β ∈ (0, 1]), and the β-portion of spectrum is generated randomly and independently.…”

Section: Heterogeneous Cellular System Modelmentioning

confidence: 99%

“…Fig. 5.Optimal network energy consumption of the original density problems(29) with the perfect PSR scheme, the approximate PSR scheme β = cρ M +ρm+λ cρ M +ρm+cλ , and the reinforced problem (33). A capacity extension example with the parameter setting:u = 1Mbps, W = 20MHz, η = 0.1, P M = 10Pm, α = 4, λ = 2, ρ 0 = 0.1, ρ 1 = 0.3, ρ 2 = ρ 3 = ∞.It shows that the approximate PSR scheme achieves the near-optimal performance.…”

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confidence: 99%

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Improving the Energy Efficiency of Two-Tier Heterogeneous Cellular Networks through Partial Spectrum Reuse

Cao

Zhou

Niu

2013

IEEE Trans. Wireless Commun.

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Partial Spectrum Reuse (PSR) in the second tier of two-tier heterogeneous cellular networks has a potential to improve spectrum efficiency by reducing inter-cell interference, and thus energy efficiency as well by deploying less or switching off more Base Stations (BSs). In this paper, we analyze the optimal PSR factor, defined as the portion of spectrum reused by micro cells in two-tier heterogeneous networks, which is not in an explicit form generally. Then, a closed-form limit of the optimal PSR factor is derived as the ratio of the user rate requirement over the whole system spectrum bandwidth is approaching zero, based on which a threshold of the micro-BS energy cost is also derived to determine which type of BSs is preferable. Specifically, one should deploy more micro BSs or switch off more macro BSs if the micro-BS energy cost is lower than the threshold. Otherwise, the optimal choice is the opposite. This threshold with the PSR scheme is higher than that without PSR scheme, i.e., PSR can improve both spectrum efficiency and energy efficiency. Numerical results show that adopting PSR can reduce the network energy consumption by up to 50% when the transmit power of macro BSs is 10dB higher than that of micro BSs.

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Coverage analysis using the Poisson point process model

Mukherjee¹

2013

Small Cell Networks

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Throughput analysis of interference-limited MIMO-based cellular systems

Cited by 14 publications

References 13 publications

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

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

Improving the Energy Efficiency of Two-Tier Heterogeneous Cellular Networks through Partial Spectrum Reuse

Coverage analysis using the Poisson point process model

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