Effective Capacity Analysis in Ultra-Dense Wireless Networks With Random Interference

Gü, Yü; Cui, Qimei; Chen, Yu; Ni, Wei; Tao, Xiaofeng; Zhang, Ping

doi:10.1109/access.2018.2820901

Cited by 24 publications

(14 citation statements)

References 15 publications

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“…If the assumptions of Gartner-Ellis theorem hold 1 [27], [28] and there is a unique QoS exponent θ * n,k that satisfies…”

Section: Composition Resultsmentioning

confidence: 99%

“…Given a delay bound, D n,k max , the probability that the steadystate packet delay at the k-th queue of the n-th device exceeds D n,k max is given by [28]…”

Section: Composition Resultsmentioning

confidence: 99%

“…As the algorithm requires all the devices' information, we propose the following fully distributed algorithm. Substituting (5) into (16), we have Φ n,k (x −n ) = 1 − E Hn {e −θ n,k r n,k S n,k } F n,k s 1 − e −x n,k (28) whereF n,k s = (1 − ε n )F n,k s is an estimated successful access probability, and can be obtained by observing the environment, i.e., counting the acknowledgement (ACK) sent by the BS [36]. In this way, we do not need to estimate the empty buffer probability and exchange the information with other devices.…”

Section: Barring Policy Under Qos Guarantee a Distributed Game-tmentioning

confidence: 99%

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Game-Theoretic Optimization for Machine-Type Communications Under QoS Guarantee

Gü

Cui

et al. 2019

IEEE Internet Things J.

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Massive machine-type communication (mMTC) is a new focus of services in fifth generation (5G) communication networks. The associated stringent delay requirement of endto-end (E2E) service deliveries poses technical challenges. In this paper, we propose a joint random access and data transmission protocol for mMTC to guarantee E2E service quality of different traffic types. First, we develop a priority-queueingbased access class barring (ACB) model and a novel effective capacity is derived. Then, we model the priority-queueingbased ACB policy as a non-cooperative game, where utility is defined as the difference between effective capacity and access penalty price. We prove the existence and uniqueness of Nash equilibrium (NE) of the non-cooperative game, which is also a sub-modular utility maximization problem and can be solved by a greedy updating algorithm with convergence to the unique NE. To further improve the efficiency, we present a price-update algorithm, which converges to a local optimum. Simulations demonstrate the performance of the derived effective capacity and the effectiveness of the proposed algorithms. IndexTerms-Massive machine-type communications (mMTC), random access, effective capacity, quality of service (QoS), non-cooperative game, sub-modular function.

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“…If the assumptions of Gartner-Ellis theorem hold 1 [27], [28] and there is a unique QoS exponent θ * n,k that satisfies…”

Section: Composition Resultsmentioning

confidence: 99%

“…Given a delay bound, D n,k max , the probability that the steadystate packet delay at the k-th queue of the n-th device exceeds D n,k max is given by [28]…”

Section: Composition Resultsmentioning

confidence: 99%

Section: Barring Policy Under Qos Guarantee a Distributed Game-tmentioning

confidence: 99%

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Game-Theoretic Optimization for Machine-Type Communications Under QoS Guarantee

Gü

Cui

et al. 2019

IEEE Internet Things J.

Self Cite

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“…where N i is the set of all network nodes except Node i and P(N i ) is the power set of N i , which covers all transmission patterns. Additionally, F (x) is determined in (15).…”

Section: ) Calculation Based On All Transmission Patternsmentioning

confidence: 99%

Throughput and Delay Analysis of IEEE 802.11-Based Tree-Topology Networks

Kanematsu

Wan

Sanada

et al. 2020

IEEE Open J. Commun. Soc.

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This paper aims to investigate the performance of the IEEE 802.11-based tree-topology network, where a wireless node is within the others' carrier sensing ranges. In such a network, the concurrent transmission is a dominant cause of frame collisions. Moreover, the relay nodes (RN) (i.e., in the tree) likely cause the coexistence of non-saturated and saturated nodes in the networks. Those conditions have not been addressed in the previous works yet. As a solution, this work proposes new analytical expressions of delay and throughput in the investigated scenario. The presented analytical model incorporates the Bianchi model and airtime concept to formulate operations of the IEEE 802.11 nodes. First, by leveraging Bianchi-based analysis, the proposed model gives the frame collision probability caused by concurrent transmission. Second, by using airtime concept analysis, the ratio of frame numbers of each flow in a relay node (RN) is expressed to represent the buffer state of RN. As a result, we can obtain the network throughput, the throughput, and the delay of each flow. The validity of the analytical expressions is confirmed by the quantitative agreement between the analytical and simulation results.

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“…Furthermore, hot spots have a non-uniform traffic demand, so it is necessary to have three-dimensional (3D) realistic environments to achieve accurate models, which can lead to network performance improvement. The approaches followed in order to analyze interference in large areas with node density are usually based on statistical channel modelling and under certain model assumptions [13,24], providing certain consideration in relation with scenario characteristics, which can be eventually combined with measurement updates. Spatio-temporal techniques have also been proposed in order to analyze connection establishment phases in massive IoT deployment, based stochastic geometric models [25].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation and Interference Characterization of Wireless Sensor Networks for Complex High-Node Density Scenarios

Celaya-Echarri

Azpilicueta

López-Iturri

et al. 2019

Sensors

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The uncontainable future development of smart regions, as a set of smart cities’ networks assembled, is directly associated with a growing demand of full interactive and connected ubiquitous smart environments. To achieve this global connection goal, large numbers of transceivers and multiple wireless systems will be involved to provide user services and applications anytime and anyplace, regardless the devices, networks, or systems they use. Adequate, efficient and effective radio wave propagation tools, methodologies, and analyses in complex indoor and outdoor environments are crucially required to prevent communication limitations such as coverage, capacity, speed, or channel interferences due to high-node density or channel restrictions. In this work, radio wave propagation characterization in an urban indoor and outdoor wireless sensor network environment has been assessed, at ISM 2.4 GHz and 5 GHz frequency bands. The selected scenario is an auditorium placed in an open free city area surrounded by inhomogeneous vegetation. User density within the scenario, in terms of inherent transceivers density, poses challenges in overall system operation, given by multiple node operation which increases overall interference levels. By means of an in-house developed 3D ray launching (3D-RL) algorithm with hybrid code operation, the impact of variable density wireless sensor network operation is presented, providing coverage/capacity estimations, interference estimation, device level performance and precise characterization of multipath propagation components in terms of received power levels and time domain characteristics. This analysis and the proposed simulation methodology, can lead in an adequate interference characterization extensible to a wide range of scenarios, considering conventional transceivers as well as wearables, which provide suitable information for the overall network performance in crowded indoor and outdoor complex heterogeneous environments.

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Effective Capacity Analysis in Ultra-Dense Wireless Networks With Random Interference

Cited by 24 publications

References 15 publications

Game-Theoretic Optimization for Machine-Type Communications Under QoS Guarantee

Game-Theoretic Optimization for Machine-Type Communications Under QoS Guarantee

Throughput and Delay Analysis of IEEE 802.11-Based Tree-Topology Networks

Performance Evaluation and Interference Characterization of Wireless Sensor Networks for Complex High-Node Density Scenarios

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