Performance of Off-Grid Small Cells With Non-Uniform Deployment in Two-Tier HetNet

Liu, Kuang-Hao; Yu, Ting-Yi

doi:10.1109/twc.2018.2854867

Cited by 14 publications

(14 citation statements)

References 28 publications

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“…The outage probability and rate coverage of mixed users is the combination of the outage probabilities and rate coverages of the clustered and uniform users conditioned that the randomly selected user belongs to uniformly distributed or clustered user sets. Hence, based on the average number of uniform and clustered users, the probabilities that the selected user belongs to the uniformly distributed users or the clustered users 20 are given, respectively, by…”

Section: Outage Probability and Rate Coverage Of Mixed Usersmentioning

confidence: 99%

“…Furthermore, the nonuniform users model in HCNet is investigated in Reference , where the users are deployed according to the conditional thinning property of HPPP. In Reference , the authors analyzed the performance of HCNets by assuming nonuniform distribution of SBSs modeled with a Poisson hole process. To improve the uplink performance, the authors in Reference use decoupled association to analyze coverage probability in millimeter‐wave hybrid HCNets.…”

Section: Introductionmentioning

confidence: 99%

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Capacity driven small cell deployment in heterogeneous cellular networks: Outage probability and rate coverage analysis

Ullah

Abbas

Muhammad

et al. 2020

Trans Emerging Tel Tech

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Heterogeneous cellular networks (HCNets) are one of the key enabling technologies to improve performance gain of future cellular networks. Stochastic geometry is considered a promising tool to model and analyze HCNets. Users and base stations (BSs) are generally distributed uniformly using a homogeneous Poisson point process (HPPP). The assumption of uniformly distributed users is not suitable in HCNets because of the existence of clustered users in hotspots. To consider the correlation between the users and BSs, deployment of small base stations in these areas are of great concern to increase the performance of HCNets. In this article, we assume the notion of mixed user distribution, wherein the network users are the superposition of clustered and uniform users, modeled through HPPP and Poisson cluster process, respectively. We evaluate outage probability and rate coverage of the proposed HCNet model. We compare the network performance of the proposed mixed user distribution model with the conventional uniformly distributed user model.The analytical results are validated using Monte-Carlo simulations. Our results show that the proposed HCNet model of mixed user distribution outperforms the uniformly distributed user model in terms of outage probability and rate coverage.

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Section: Outage Probability and Rate Coverage Of Mixed Usersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Capacity driven small cell deployment in heterogeneous cellular networks: Outage probability and rate coverage analysis

Ullah

Abbas

Muhammad

et al. 2020

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…Their results show that NU-SBS D , in conjunction with SFR, outperform other scenarios due to proactive interference mitigation. Furthermore, in [26], the authors propose off-grid NU-SBS D , where SBSs are powered through renewable energy. They investigate the HetNets' performance by considering MBS as on-grid and SBSs as off-grid.…”

Section: B Related Workmentioning

confidence: 99%

Proactive Uplink Interference Management for Nonuniform Heterogeneous Cellular Networks

et al. 2020

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In homogeneous cellular networks, fractional power control (FPC) is employed to partially compensate the path-loss and, hence, improve uplink (U L) signal-to-interference ratio (SIR). However, this scheme is less effective in heterogeneous cellular networks (HetNets) because: (i) except the typical user, all other users with variable U L transmit power (UTP) act as interferers, (ii) FPC leads to high UTP by edge users and, hence, more interference, and (iii) small base stations (SBSs)' densification further increases network interferences. Leveraging FPC in HetNets, we propose nonuniform SBS deployment (NU-SBS D) to reduce interference and, thus, increase network performance. According to our NU-SBS D model, SBS deployment (SBS D) near macro base station (MBS) is avoided, whereas MBS coverage edge area is enriched with ultra-dense SBS D. NU-SBS D model leads to: (i) better SIR reception of MBS coverage edge users, (ii) fewer SBS D requirement, and (iii) better SBS coverage in the MBS coverage edge area. Moreover, to make a model more proactive, we also consider reverse frequency allocation (RFA) to further abate both U L and downlink (D L) interferences. The coverage probability expressions are derived for both uniform SBS deployment (U-SBS D) and NU-SBS D while using RFA and FPC. Through simulation and numerical results, we characterize coverage probability for different values of SIR threshold, path loss compensation factor, SBS density, users density, and the distance between the typical user and the associated base station. The proposed NU-SBS D model along with RFA leads to reduced network interference as compared with U-SBS D and, thus, leverages FPC in HetNets.

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“…In addition, MIMO techniques are compared in HetNets by using stochastic geometry, but the study did not analyze in detail the SINR distribution [29,30]. Due to the assumptions and limitations, the proposed closed-forms in Blaszczyszyn and Giovanidis [7], Chen et al [10], Kuang and Liu [27], Xu and Tao [52], Jiang and Cui [22], Liu and Yu [35], Shuminoski and Janevski [43] are not applicable to general K -tier HetNets, with MIMO and multi-tier network. Thus, in the view of prior work, such closed-forms are remaining largely unknown.…”

Section: Motivations and Contributionsmentioning

confidence: 99%

“…Spatial random model is often a more appropriate model than the deterministic one in characterizing the HetNet. Poisson Point Process (PPP) is being the simplest model among the random spacial models that model the BS locations by two-dimensional point process [35].…”

Section: Introductionmentioning

confidence: 99%

Modeling multi-tier heterogeneous small cell networks: rate and coverage performance

Fadoul

2020

Telecommun Syst

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The rapid growth of small cells is driving cellular network toward randomness and heterogeneity. The multi-tier heterogeneous network (HetNet) addresses the massive connectivity demands of the emerging cellular networks. Cellular networks are usually modeled by placing each tier (e.g macro, pico and relay nodes) deterministically on a grid which ignores the spatial randomness of the nodes. Several works were idealized for not capturing the interference which is a major performance bottleneck. Overcoming such limitation by realistic models is much appreciated. Multi-tier relay cellular network is studied in this paper, In particular, we consider $${\mathscr {K}}$$ K -tier transmission modeled by factorial moment and stochastic geometry and compare it with a single-tier, traditional grid model and multi-antenna ultra-dense network (UDN) model to obtain tractable rate coverage and coverage probability. The locations of the relays, base stations, and users nodes are modeled as a Poisson Point Process. The results showed that the proposed model outperforms the traditional multi-antenna UDN model and its accuracy is confirmed to be similar to the traditional grid model. The obtained results from the proposed and comparable models demonstrate the effectiveness and analytical tractability to study the HetNet performance.

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Performance of Off-Grid Small Cells With Non-Uniform Deployment in Two-Tier HetNet

Cited by 14 publications

References 28 publications

Capacity driven small cell deployment in heterogeneous cellular networks: Outage probability and rate coverage analysis

Capacity driven small cell deployment in heterogeneous cellular networks: Outage probability and rate coverage analysis

Proactive Uplink Interference Management for Nonuniform Heterogeneous Cellular Networks

Modeling multi-tier heterogeneous small cell networks: rate and coverage performance

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