On the Energy-Efficient Deployment for Ultra-Dense Heterogeneous Networks With NLoS and LoS Transmissions

Yang, Bin; Mao, Guoqiang; Ge, Xiaohu; Ding, Ming; Yang, Xuan

doi:10.1109/tgcn.2018.2799630

Cited by 28 publications

(14 citation statements)

References 34 publications

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“…In our on-going work, i.e., [41], [42], densitydependent transmit power is considered and the coverage probability and the ASE reveal a different tendency. In our future work, shadowing and multi-path fading model will be considered simultaneously which is more practical for the real network.…”

Section: Discussionmentioning

confidence: 99%

Dense Small Cell Networks: From Noise-Limited to Dense Interference-Limited

Yang

Mao

Ding

et al. 2018

IEEE Trans. Veh. Technol.

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Abstract-Considering both non-line-of-sight (NLoS) and lineof-sight (LoS) transmissions, the transitional behaviors from noise-limited regime to dense interference-limited regime have been investigated for the fifth generation (5G) small cell networks (SCNs). Besides, we identify four performance regimes based on base station (BS) density, i.e., (i) the noise-limited regime, (ii) the signal-dominated regime, (iii) the interference-dominated regime, and (iv) the interference-limited regime. To characterize the performance regime, we propose a unified framework analyzing the future 5G wireless networks over generalized shadowing/fading channels, in which the user association schemes based on the strongest instantaneous received power (SIRP) and the strongest average received power (SARP) can be studied, while NLoS/LoS transmissions and multi-slop path loss model are considered. Simulation results indicate that different factors, i.e., noise, desired signal, and interference, successively and separately dominate the network performance with the increase of BS density. Hence, our results shed new light on the design and management of SCNs in urban and rural areas with different BS deployment densities.

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Section: Discussionmentioning

confidence: 99%

Dense Small Cell Networks: From Noise-Limited to Dense Interference-Limited

Yang

Mao

Ding

et al. 2018

IEEE Trans. Veh. Technol.

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“…Some recent studies have investigated the fundamental limits on densification of cellular network by assuming different path loss models and fading distributions [17][18][19][20]. According to [17], the SINR coverage decreases after a certain threshold, due to increased interference with smaller path loss exponents, which is in contrast to widely used results as reported in [4].…”

Section: Related Work and Motivationmentioning

confidence: 99%

“…According to [19], the SIR coverage can be increased by exploiting the idle mode capability of APs, under dense scenarios. Further, in [20] energy efficiency analysis has been presented by defining the optimal transmission power, for APs, as a function of RAT density. However, in all of the mentioned investigations, a single-tier dense cellular network, with small cells, has been considered.…”

Section: Related Work and Motivationmentioning

confidence: 99%

Toward a Unified Framework for Analysis of Multi-RAT Heterogeneous Wireless Networks

Marvi

Aijaz

Khurram

2019

Wireless Communications and Mobile Computing

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The increased penetration of different radio access technologies (RATs) and the growing trend towards their convergence necessitates the investigation of wireless heterogeneous networks (HetNets) from coverage and capacity perspective. This paper develops a unified framework for signal-to-interference-plus-noise ratio and rate coverage analysis of multi-RAT HetNets, with each RAT employing either a contention-free or a contention-based channel access strategy. The proposed framework adopts tools from stochastic geometry, with the location of APs and mobile users modeled through independent Poisson point processes (PPPs). We specifically focus on a two-RAT scenario (i.e., cellular and Wi-Fi), where for multi-tier Wi-Fi RAT, with contention-based channel access like CSMA/CA, the location dependent distribution of interfering APs has been approximated through a homogeneous PPP. Moreover, by using some simple yet realistic set of assumptions, the distance to nearest active AP has been defined which results in simplified expressions. The medium access probability for a random and a tagged AP under a multi-tier Wi-Fi RAT has also been derived and discussed. By keeping in view the tremendous effect of temporal domain on overall network performance, the stable queue probability has been derived by assuming a non-saturated traffic model. The results have been validated through extensive simulations and compared with existing approaches. Some useful insights have also been presented that shed light on design and analysis of multi-RAT HetNets and provide motivation for further research in this direction.

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“…Indeed, deploying these network architectures will collide to several distinctive uplink/downlink technical challenges, such as interference management, 12 load balancing, 13 QoS and QoE management, and energy efficiency. 14 Hence, the association of MUs to different multi-RAT BSs in this kind of network environment requires sophisticated uplink/downlink resource management. This is why mobile operators are urged to find the most suitable user association schemes that will overcome all those aforementioned challenges.…”

Section: Figure 1 5g Multi-rat Udns Architecturementioning

confidence: 99%

“…Actually, the conventional user association schemes and techniques used for resources allocation are not really adapted for the 5G multi‐RAT UDNs context. Indeed, deploying these network architectures will collide to several distinctive uplink/downlink technical challenges, such as interference management, load balancing, QoS and QoE management, and energy efficiency . Hence, the association of MUs to different multi‐RAT BSs in this kind of network environment requires sophisticated uplink/downlink resource management.…”

Section: Introductionmentioning

confidence: 99%

Two‐sided matching framework for optimal user association in 5G multi‐RAT UDNs

Amine

Kobbane

Ben‐Othman

et al. 2020

Int J Communication

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Summary Recently, academic and industrial research communities are paying more explicit attention to the 5G multiple radio access technology ultra‐dense networks (5G multi‐RAT UDNs) for boosting network capacity, especially in UD urban zones. To this aim, in this paper, we intend to tackle the user association problem in 5G multi‐RAT UDNs. By considering the decoupled uplink/downlink access (DUDA), we divide our user association problem into two distinct subproblems representing, respectively, the uplink and the downlink channels. Next, we formulated each one as a nonlinear optimization problem with binary variables. Then, to solve them, we were restricted by the hard complexity, as well as the hard feasibility of centralized user association schemes. Thus, to resolve our user association problem in a reasonable time and distributed manner, we formulated each subproblem as a many‐to‐one matching game based on matching theory. Next, we provide two fully distributed association algorithms to compute the uplink and downlink stable matching among user equipments (UEs) and base stations (BSs). Simulation results corroborate our theoretical model and show the effectiveness and improvement of our achieved results in terms of the overall network performance, quality of service (QoS), and energy efficiency (EE) of UEs.

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On the Energy-Efficient Deployment for Ultra-Dense Heterogeneous Networks With NLoS and LoS Transmissions

Cited by 28 publications

References 34 publications

Dense Small Cell Networks: From Noise-Limited to Dense Interference-Limited

Dense Small Cell Networks: From Noise-Limited to Dense Interference-Limited

Toward a Unified Framework for Analysis of Multi-RAT Heterogeneous Wireless Networks

Two‐sided matching framework for optimal user association in 5G multi‐RAT UDNs

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