Spatial and Social Paradigms for Interference and Coverage Analysis in Underlay D2D Network

Mustafa, Hafiz Attaul; Shakir, Muhammad Zeeshan; Imran, Muhammad Ali; Tafazolli, Rahim

doi:10.1109/tvt.2017.2699620

Cited by 10 publications

(4 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As an effective and tractable analytical method, stochastic geometry, in particular suitable for modeling the distribution of BSs with Poisson point processes (PPPs), has been widely used to analyze the performance of large-scale cellular networks. With the help of the stochastic geometry approach, general models characterizing multicell signal-to-interference-plus-noise ratio (SINR) were proposed in [12], which have been extended to heterogeneous networks [13], device-to-device networks [14], and cooperative networks [15]. The WETs are used for low power consumption devices, such as sensors and wearable devices in IoTs.…”

Section: A Related Workmentioning

confidence: 99%

Non-Uniform Deployment of Power Beacons in Wireless Powered Communication Networks

Liang

Zhao

Zheng

et al. 2019

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

In wireless powered communication networks (WPCNs), base station (BS) and power beacons (PBs) can offer supplement power for uplink transmission of user equipments (UEs). However, aggregate power consumption of massively deployed PBs may exceed that of a BS. We propose a non-uniform deployment scheme for PBs in WPCNs, where a cell is divided into inner and outer areas, such that BS and PBs can cooperate to power UEs. To be more specific, a BS located in the center of a cell provides downlink power supply for the inner area UEs and uplink information decoding for all the UEs in the cell; while the PBs power UEs in the outer area. With multiple antennas, maximum ratio transmission and maximum ratio combining are adopted for downlink energy beamforming and IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. XX, NO. XX, MONTH XX 2019 2 uplink information reception. Considering a finite area of the network, we derive the distribution of the distance from a non-center-located UE to its nearest PB in the outer area. An optimization problem is formulated to minimize total average power consumption, while satisfying BS average transmission power constraint and coverage probability threshold. Moreover, coverage probability is derived for performance evaluation. Numerical results show that the power consumption of the proposed scheme is reduced significantly compared to PB-only WPCNs. Index Terms-Wireless powered communication network; Wireless energy transfer; Non-uniform deployment.

show abstract

Section: A Related Workmentioning

confidence: 99%

Non-Uniform Deployment of Power Beacons in Wireless Powered Communication Networks

Liang

Zhao

Zheng

et al. 2019

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

show abstract

“…According to the results, by modeling the spatial distribution of D2D users as a homogeneous PPP, the overall system coverage has been improved. In another approach, the interference characterization of the D2D underlay network, along with the consideration of spatial and social relationships, has been investigated [57]. The authors have performed spatial and social distributions of interfering D2D nodes and have utilized the Zipf-based marked PPP approach to achieve a thinned independently marked PPP (IMPPP) process.…”

Section: Literature Reviewmentioning

confidence: 99%

A Stochastically Geometrical Poisson Point Process Approach for the Future 5G D2D Enabled Cooperative Cellular Network

et al. 2019

View full text Add to dashboard Cite

Due to recent developments in the cellular communication system, stochastic process implementation is necessary. The cellular communication system exhibits random patterns in various domains, thereby compelling the utilization of stochastic processes to achieve an optimal output. User behaviors with respect to the variable geographical pattern, population density, architecture, data usage, and mobility over various cells are random in nature. Therefore, the stochastic-geometry-based Poisson point process (PPP) technique can be implemented to accurately analyze these random processes in device-to-device (D2D)based cooperative cellular networks. The stochastic modeling entails the consideration of transmitters and receivers as the elements of stochastic point processes. The hexagonal method is not applicable for the implementation of heterogeneous network topologies, as it is not suitable for topologies, in which the cell size is not fixed. Therefore, a randomly designed heterogeneous network uses stochastic geometry as a viable solution for predicting the probabilistic parameters, including the cell interference, load distribution, coverage probability, base station (BS) mapping, and signal-to-interference-plus-noise ratio (SINR). Moreover, as a network architecture that is based on relay nodes (RNs), cellular and D2D users can be utilized in the domain of homogeneous random models. The associated phenomenon can be considered independent and Poisson. In this paper, the stochastic-geometric-based PPP approach is introduced for modeling the SINR, success probability, ergodic capacity, and outage probability for the D2D-enabled cooperative cellular network. The proposed PPP realistic model utilizes BS, RN, the cellular user (CU), and D2D user positioning method to design an interference-free network. The success probability, ergodic capacity, and outage probability for cellular and D2D users are used as metrics for evaluating the results with respect to various SINR threshold values and node densities. Moreover, the total success probability, ergodic capacity, and outage probability have been calculated for various multiple-input-multiple-output (MIMO) antenna configurations to validate the results. The results confirmed that the proposed PPP model approach outperforms the grid model and conventional multi-antenna ultra-dense network (UDN) approaches. INDEX TERMS 5G, stochastic geometry, interference cancellation, multi-hop communication, Poisson point process (PPP), D2D enabled cellular network.

show abstract

“…For instance, in [11], users were categorized into different groups according to the content request distributions, and the caching strategy was designed for each user group. The homogeneous marked PPP distribution was employed in [12] to model the spatial and social relations of D2D devices, where the Zipf based thinning is applied to obtain the distributions of users with different preferences. When the user preferences are unknown, a learning approach was proposed in [13] to estimate the preference for the design of caching strategy.…”

Section: Introductionmentioning

confidence: 99%

A Caching Strategy Towards Maximal D2D Assisted Offloading Gain

Pan

Yang

et al. 2020

IEEE Trans. on Mobile Comput.

View full text Add to dashboard Cite

Device-to-Device (D2D) communications incorporated with content caching have been regarded as a promising way to offload the cellular traffic data. In this paper, the caching strategy is investigated to maximize the D2D offloading gain with the comprehensive consideration of user collaborative characteristics as well as the physical transmission conditions. Specifically, for a given content, the number of interested users in different groups is different, and users always ask the most trustworthy user in proximity for D2D transmissions. An analytical expression of the D2D success probability is first derived, which represents the probability that the received signal to interference ratio is no less than a given threshold. As the formulated problem is non-convex, the optimal caching strategy for the special unbiased case is derived in a closed form, and a numerical searching algorithm is proposed to obtain the globally optimal solution for the general case. To reduce the computational complexity, an iterative algorithm based on the asymptotic approximation of the D2D success probability is proposed to obtain the solution that satisfies the Karush-Kuhn-Tucker conditions. The simulation results verify the effectiveness of the analytical results and show that the proposed algorithm outperforms the existing schemes in terms of offloading gain.

show abstract

Spatial and Social Paradigms for Interference and Coverage Analysis in Underlay D2D Network

Cited by 10 publications

References 22 publications

Non-Uniform Deployment of Power Beacons in Wireless Powered Communication Networks

Non-Uniform Deployment of Power Beacons in Wireless Powered Communication Networks

A Stochastically Geometrical Poisson Point Process Approach for the Future 5G D2D Enabled Cooperative Cellular Network

A Caching Strategy Towards Maximal D2D Assisted Offloading Gain

Contact Info

Product

Resources

About