Performance analysis of small cell networks with multi-antenna base stations utilizing interference mitigation techniques

Mirhosseini, FahimeSadat; Tadaion, Aliakbar

doi:10.1109/isspit.2015.7394373

Cited by 8 publications

(8 citation statements)

References 20 publications

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“…In Fig. 3, we provide the comparative results between the high SNR approximation in (20) and the simulated ASR in (18) for different correlation and fading parameters. In this simulation, we 1, 1 , 2, 1 , 2, 3 .…”

Section: Numerical Resultsmentioning

confidence: 99%

“…In this paper, we pursue a detailed performance analysis of SCNs over correlated Rician/Gamma (RG) fading channels with zero-forcing (ZF) receivers. To the best of authors' knowledge, the relevant studies have been published in [9,11,19,20]. In [19], the lower bound on the achievable sum rate of multi-cell cooperative MIMO systems over Rayleigh/Lognormal fading channels was investigated, while its validity is challenged in the LoS propagation environment and the promising SCNs are not considered yet.…”

Section: Introductionmentioning

confidence: 99%

“…With the aid of random matrix theory, Hoydis et al [9] presented an approximate expression for outage probability (OP) of cooperative SCNs over Rician fading channels. Unfortunately, the common characteristics of [9,11,20] are the lack of consideration of the shadowing fading, correlation, as well as the ZF receivers.…”

Section: Introductionmentioning

confidence: 99%

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Performance analysis of cooperative small cell systems under correlated Rician/Gamma fading channels

et al. 2018

IET signal process.

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Small cell networks (SCNs) have emerged as promising technologies to meet the data traffic demands for the future wireless communications. However, the benefits of SCNs are limited to their hard handovers between base stations (BSs). In addition, the interference is another challenging issue. To solve this problem, this study employs a cooperative transmission mechanism focusing on correlated Rician/Gamma fading channels with zero-forcing receivers. The analytical expressions for the achievable sum rate, symbol error rate and outage probability are derived, which are applicable to arbitrary Rician factors, correlation coefficients, the number of antennas, and remain tight across entire signal-to-noise ratios (SNRs). Asymptotic analyses at the high and low SNR regimes are carried out in order to further reveal the insights of the model parameters on the system performance. Monte-Carlo simulation results validate the correctness of their derivations. Numerical results indicate that the theoretical expressions provide sufficiently accurate approximation to simulated results.

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Section: Numerical Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Performance analysis of cooperative small cell systems under correlated Rician/Gamma fading channels

et al. 2018

IET signal process.

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“…where I n indicates the state of the nth SC, I n=1 means that SC is active and I n=0 means SC is turned off. N EE can be used to determine how efficiently energy is being used [2].…”

Section: System Modelmentioning

confidence: 99%

“…The SC on/off scheme, first proposed in 3GPP Release 12, plays a critical role in efficient network operation. The scheme enables the improvement of network energy efficiency (NEE) by turning off unnecessary cells [2]. As shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

UE throughput guaranteed small cell on/off algorithm with machine learning

2020

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Ultra-dense network (UDN) has been considered a promising solution to improve the signal quality of cell edge UEs and enhance the serving coverage. However, a large number of small cells causes severe inter-cell interference and high energy consumption, and efficient small cell management is an important issue. In this paper, a UE throughput guaranteed small cell on/off algorithm in UDN environment is proposed to solve the problem of UE throughput reduction due to small cell off process. The proposed small cell on/off algorithm with machine learning is executed by the following processes: First, the network attributes that affect UE throughput are analyzed. Second, the correlation between UE throughput and network attributes is evaluated through multiple linear regression analysis. Third, through understanding the correlation between UE throughput and network attributes, we determine the proper criteria for small cell on/off process. Simulation results show that the proposed small cell on/off algorithm can improve the total network energy efficiency as well as efficiently ensure sufficient UE throughput. Compare to the conventional algorithm, the proposed algorithm shows more than 75% improvements of average network energy efficiency. whole network.

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Coverage and rate analysis in cellular networks with Nakagami-Lognormal fading channel employing soft frequency reuse

Entezari

Tadaion

2019

Physical Communication

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Performance analysis of small cell networks with multi-antenna base stations utilizing interference mitigation techniques

Cited by 8 publications

References 20 publications

Performance analysis of cooperative small cell systems under correlated Rician/Gamma fading channels

Performance analysis of cooperative small cell systems under correlated Rician/Gamma fading channels

UE throughput guaranteed small cell on/off algorithm with machine learning

Coverage and rate analysis in cellular networks with Nakagami-Lognormal fading channel employing soft frequency reuse

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