Power Control with Nearest Neighbor Nodes Distribution for Coexisting Wireless Body Area Network Based on Stochastic Geometry

( Ruixia Liu ),( Yinglong Wang ),( Minglei Shu ),( Huiqi Zhao ),( Changfang Chen ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.11

The coexisting wireless body area networks (WBAN) is a very challenging issue because of strong inter-networks interference, which seriously affects energy consumption and spectrum utilization ratio. In this paper, we study a power control strategy with nearest neighbor nodes distribution for coexistingWBAN based on stochastic geometry. Using homogeneous Poisson point processes (PPP) model, the relationship between the transmission power and the networks distribution is analytically derived to reduce interference to other devices. The goal of this paper is to increase the transmission success probability and throughput through power control strategy. In addition, we evaluate the area spectral efficiency simultaneously active WBAN in the same channel. Finally, extensive simulations are conducted to evaluate the power control algorithm.

Analysis of Energy-Efficiency in Ultra-Dense Networks: Determining FAP-to-UE Ratio via Stochastic Geometry

( Hongtao Zhang ),( Zihua Yang ),( Yunfan Ye ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.11

Femtocells are envisioned as a key solution to embrace the ever-increasing high data rate and thus are extensively deployed. However, the dense and random deployments of femtocell access points (FAPs) induce severe intercell inference that in turn may degrade the performance of spectral efficiency. Hence, unrestrained proliferation of FAPs may not acquire a net throughput gain. Besides, given that numerous FAPs deployed in ultra-dense networks (UDNs) lead to significant energy consumption, the amount of FAPs deployed is worthy of more considerations. Nevertheless, little existing works present an analytical result regarding the optimal FAP density for a given User Equipment (UE) density. This paper explores the realistic scenario of randomly distributed FAPs in UDN and derives the coverage probability via Stochastic Geometry. From the analytical results, coverage probability is strictly increasing as the FAP-to-UE ratio increases, yet the growing rate of coverage probability decreases as the ratio grows. Therefore, we can consider a specific FAP-to-UE ratio as the point where further increasing the ratio is not cost-effective with regards to the requirements of communication systems. To reach the optimal FAP density, we can deploy FAPs in line with peak traffic and randomly switch off FAPs to keep the optimal ratio during off-peak hours. Furthermore, considering the unbalanced nature of traffic demands in the temporal and spatial domain, dynamically and carefully choosing the locations of active FAPs would provide advantages over randomization. Besides, with a huge FAP density in UDN, we have more potential choices for the locations of active FAPs and this adds to the demand for a strategic sleeping policy.

확률기하학을 이용한 LoRa 기반의 저궤도 위성네트워크 가시성과 연결성 분석

정수엽,유준규,이준세 한국통신학회 2024 韓國通信學會論文誌 Vol.49 No.1

Various applications through Low-Earth Orbit (LEO) satellite networks are considered in next-generation communication. Especially, IoT services using the broad coverage of low-orbit satellite networks have been widely considered in many areas. Long Range (LoRa) is an essential technique to compensate for the Doppler effect due to the fast mobility of LEO satellites or to support low-power communication for IoT services. This paper analyzes the visibility and connectivity of the network viewed from the user's perspective on the ground when the LoRa technique is applied to LEO satellite networks. We assume that the spreading factor, an essential physical layer parameter for LoRa-based communication, is determined based on the distance from the user. Then, we present analyses of the network environment experienced by the user using stochastic geometry. The main results provide intuitions on the interrelationship between network parameters and performances. Finally, we present some numerical results which verify that our analyses are consistent with the simulations.

Optimal User Density and Power Allocation for Device-to-Device Communication Underlaying Cellular Networks

( Yang Yang ),( Ziyang Liu ),( Boao Min ),( Tao Peng ),( Wenbo Wang ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.2

This paper analyzes the optimal user density and power allocation for Device-to-Device (D2D) communication underlaying cellular networks on multiple bands with the target of maximizing the D2D transmission capacity. The entire network is modeled by Poisson point process (PPP) which based on stochastic geometry. Then in order to ensure the outage probabilities of both cellular and D2D communication, a sum capacity optimization problem for D2D system on multiple bands is proposed. Using convex optimization, the optimal D2D density is obtained in closed-form when the D2D transmission power is determined. Next the optimal D2D transmission power is obtained in closed-form when the D2D density is fixed. Based on the former two conclusions, an iterative algorithm for the optimal D2D density and power allocation on multiple bands is proposed. Finally, the simulation results not only demonstrate the D2D performance, density and power on each band are constrained by cellular communication as well as the interference of the entire system, but also verifies the superiority of the proposed algorithm over sorting-based and removal algorithms.

On the throughput gain of device-to-device communications

황영주,박지홍,성기원,김성륜 한국통신학회 2015 ICT Express Vol.1 No.2

In an uplink underlaid device-to-device (D2D) cellular network, this paper considers its two aspects of throughput improvement. The two-fold gain comprises the throughput increase by offloading downlink cellular traffic to D2D communications, duplexing gain, and the increase by reusing uplink resources of D2D transmissions, capacity gain. Both impacts are investigated by exploiting stochastic geometry. On the basis of the analysis, a throughput optimal D2D operation guideline is provided for different network congestion environments.

Stochastic Geometry Models for 5G Heterogeneous Mobile Networks

Taras Maksymyuk,Mykola Brych,Volodymyr Pelishok 한국산학기술학회 2015 SmartCR Vol.5 No.2

Next generation wireless networks are expected to provide thousand times higher capacity comparing to existing LTE (Long Term Evolution) networks. Increasing of network capacity can be achieved by combining both spatial and spectral network densification. Influence of spatial network densification on future tremendous capacity growth is very high due to limited spectral resources. Therefore, optimal network planning is an important challenge for future heterogeneous networks with high number of small cells. Network geometry modeling is the significant part of network design and analysis. Multi-tier heterogeneous networks are very complex in terms of topology that requires new advanced approaches to the network planning. In we study the most recent solutions on the stochastic network geometry and analyze their feasibility for different scenarios of heterogeneous network. Studied approached provides good tractability of the mobile network topology and behavior. Poisson point processes combining with Voronoi tessellation provides good approximation of network nodes deployment and coverage areas. We also study feasibility of stochastic models for different buildings environment, including hyper dense skyscrapers environment. Hybrid network model combining Poisson point process with K-means clustering method was developed for D2D (Device-to-Device) heterogeneous network. Proposed model reflects random user behavior and estimate available groups for D2D transmission. Performance simulation of single tier, multi-tier and D2D based heterogeneous network shows that heterogeneous network provides significantly higher performance in terms of throughput and signal-to-interference-plus-noise ratio. Future research directions for network geometry have been outlined in this paper including emerging hot topic of combing the stochastic and deterministic network modelling.

Malicious Relay Detection Using Sentinels: A Stochastic Geometry Framework

Utku Tefek,Anshoo Tandon,Teng Joon Lim 한국통신학회 2020 Journal of communications and networks Vol.22 No.4

Next generation wireless networks are under high riskof security attacks due to increased connectivity and informationsharing among peer nodes. Some of the nodes could potentially bemalicious, intending to disrupt or tamper sensitive data transfer inthe network. In this paper, we present a detailed analysis of the sentinel based data integrity attack detection of malicious relays usinga stochastic geometry framework. We assume a practical channelmodel for each wireless link and apply a stochastic geometry approach to interference modeling. Two detection schemes depending on the level of connectivity between sentinel devices are proposed: isolated and co-operative detection. For both schemes, attack detection probability is derived as a function of important network parameters, and the minimum density of sentinels to achievea given detection probability is calculated. It will be shown that areasonable attack detection probability can be achieved even whenthe sentinel node density is much lower than the relay node density.

Parameter Estimation for a Hilbert Space-valued Stochastic Differential Equation ?$\pm$

Kim, Yoon-Tae,Park, Hyun-Suk The Korean Statistical Society 2002 Journal of the Korean Statistical Society Vol.31 No.3

We deal with asymptotic properties of Maximum Likelihood Estimator(MLE) for the parameters appearing in a Hilbert space-valued Stochastic Differential Equation(SDE) and a Stochastic Partial Differential Equation(SPDE). In paractice, the available data are only the finite dimensional projections to the solution of the equation. Using these data we obtain MLE and consider the asymptotic properties as the dimension of projections increases. In particular we explore a relationship between the conditions for the solution and asymptotic properties of MLE.

Performance Analysis of Cellular Networks with D2D communication Based on Queuing Theory Model

( Jianfang Xin ),( Qi Zhu ),( Guangjun Liang ),( Tiaojiao Zhang ),( Su Zhao ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.6

In this paper, we develop a spatiotemporal model to analysis of cellular user in underlay D2D communication by using stochastic geometry and queuing theory. Firstly, by exploring stochastic geometry to model the user locations, we derive the probability that the SINR of cellular user in a predefined interval, which constrains the corresponding transmission rate of cellular user. Secondly, in contrast to the previous studies with full traffic models, we employ queueing theory to evaluate the performance parameters of dynamic traffic model and formulate the cellular user transmission mechanism as a M/G/1 queuing model. In the derivation, Embedded Markov chain is introduced to depict the stationary distribution of cellular user queue status. Thirdly, the expressions of performance metrics in terms of mean queue length, mean throughput, mean delay and mean dropping probability are obtained, respectively. Simulation results show the validity and rationality of the theoretical analysis under different channel conditions.

Resource Allocation for D2D Communication in Cellular Networks Based on Stochastic Geometry and Graph-coloring Theory

( Fangmin Xu ),( Pengkai Zou ),( Haiquan Wang ),( Haiyan Cao ),( Xin Fang ),( Zhirui Hu ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.12

In a device-to-device (D2D) underlaid cellular network, there exist two types of co-channel interference. One type is inter-layer interference caused by spectrum reuse between D2D transmitters and cellular users (CUEs). Another type is intra-layer interference caused by spectrum sharing among D2D pairs. To mitigate the inter-layer interference, we first derive the interference limited area (ILA) to protect the coverage probability of cellular users by modeling D2D users’ location as a Poisson point process, where a D2D transmitter is allowed to reuse the spectrum of the CUE only if the D2D transmitter is outside the ILA of the CUE. To coordinate the intra-layer interference, the spectrum sharing criterion of D2D pairs is derived based on the (signal-to-interference ratio) SIR requirement of D2D communication. Based on this criterion, D2D pairs are allowed to share the spectrum when one D2D pair is far from another sufficiently. Furthermore, to maximize the energy efficiency of the system, a resource allocation scheme is proposed according to weighted graph coloring theory and the proposed ILA restriction. Simulation results show that our proposed scheme provides significant performance gains over the conventional scheme and the random allocation scheme.