Exclusive Region Design for Spatial Grid-Based Spectrum Database: A Stochastic Geometry Approach

Yamashita, Shota; Yamamoto, Koji; Nishio, Takayuki; Morikura, Masahiro

doi:10.1109/access.2018.2832627

Cited by 5 publications

(8 citation statements)

References 30 publications

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“…However, protection zones were radially symmetric around the primary receivers due to omnidirectional CCS. Authors in [14] considered a directional communication based cognitive system with a single primary receiver and many secondary receivers spread over a region. The region is divided into small grids with different channel usage probabilities for the secondary devices.…”

Section: A Related Workmentioning

confidence: 99%

Coverage Analysis of Cognitive mmWave Networks with Directional Sensing

Tripathi

Gupta

Amuru

2021

2021 55th Asilomar Conference on Signals, Systems, and Computers

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Millimeter-waves' propagation characteristics create prospects for spatial and temporal spectrum sharing in a variety of contexts, including cognitive spectrum sharing (CSS). However, CSS along with omnidirectional sensing, is not efficient at mmWave frequencies due to their directional nature of transmission, as this limits secondary networks' ability to access the spectrum. This inspired us to create an analytical approach using stochastic geometry to examine the implications of directional cognitive sensing in mmWave networks. We explore a scenario where multiple secondary transmitterreceiver pairs coexist with a primary transmitter-receiver pair, forming a cognitive network. The positions of the secondary transmitters are modelled using a homogeneous Poisson point process (PPP) with corresponding secondary receivers located around them. A threshold on directional transmission is imposed on each secondary transmitter in order to limit its interference at the primary receiver. We derive the medium-access-probability of a secondary user along with the fraction of the secondary transmitters active at a time-instant. To understand cognition's feasibility, we derive the coverage probabilities of primary and secondary links. We provide various design insights via numerical results. For example, we investigate the interference-threshold's optimal value while ensuring coverage for both links and its dependence on various parameters. We find that directionality improves both links' performance as a key factor. Further, allowing location-aware secondary directionality can help achieve similar coverage for all secondary links.

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Section: A Related Workmentioning

confidence: 99%

Coverage Analysis of Cognitive mmWave Networks with Directional Sensing

Tripathi

Gupta

Amuru

2021

2021 55th Asilomar Conference on Signals, Systems, and Computers

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“…That is, { S : 0 < a S < 1 } represents a PER where some, yet not all, UAVs are allowed to transmit in the wide shared band, and { S : a S = 0 } represents a PER where no UAVs are allowed to transmit. Note that by introducing the ATP, we can design a PER as the solution of a continuous optimization problem [4].…”

Section: Distribution Of Uavsmentioning

confidence: 99%

“…We define the objective function as the number of UAVs forbidden from transmitting signals and design an optimization problem to minimize this function. Furthermore, to ensure that UAV communications do not cause harmful interference with the radar, we impose the constraint that the radar's OP,F I total (I th ), must be less than or equal to a target β target as in [4].…”

Section: Optimization Problem For Designing Permentioning

confidence: 99%

“…In [3], the authors proposed a PER update framework that determines the optimal PER radius to minimize the area of the PER or maximize the transmission capacity of the secondary network. Given the primary user's receiver antenna patterns and the secondary user's transmitters density and transmission power, a spatial gridbased PER is introduced in [4]. The authors divide the twodimensional (2D) space into polar grids or square grids to design a complex-shaped PER.…”

Section: Introductionmentioning

confidence: 99%

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Grid-Based Exclusive Region Design for 3D UAV Networks: A Stochastic Geometry Approach

et al. 2019

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This paper presents a stochastic geometry analysis of radio interference and a grid-based design of a primary exclusive region (PER) for spectrum sharing in the 3D unmanned aerial vehicle (UAV) networks. When a UAV network shares frequency bands with a primary system (e.g., a weather radar system), the UAVs must avoid harmful interference with the primary system. To facilitate the design of a complex-shaped PER according to a primary user's antenna pattern, spatial grid models, namely cylindrical and cubic grid models, are introduced. In the cylindrical grid model, to approximate the distribution of the interference at the radar, the cumulants of the interference are expressed by expressions with simple integrals or even closed-form expressions based on the assumption that the distributions of the UAVs in each grid cell follow an inhomogeneous 3D Poisson point process (PPP). In the cubic grid model, the shape of the grid cell is approximated by the cylindrical grid cell to derive the cumulants of the interference because they cannot be calculated in the same manner as in the cylindrical grid model. Using the derived interference cumulants to determine a PER to satisfy the radar's outage probability target, an optimization problem that minimizes the number of the UAVs forbidden from transmitting signals is formulated. The numerical results confirm that the approximated interference distribution using cumulants is in acceptable agreement with the simulation results and the PER obtained from the proposed optimization problem improves the number of the transmitting UAVs by reducing the volume of grid cells.

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“…Typically, databases and spectrum sensing techniques are proposed to be used to protect the existing spectrum users from harmful interference, see e.g. [4][5][6][7]. Databases are typically used to collect and store information about licensed users, such as TV and program making and special events (PMSE) signals (e.g.…”

Section: Introductionmentioning

confidence: 99%

Energy Detection Based Spectrum Sensing for Rural Area Networks

Vartiainen¹,

Karvonen²,

Matinmikko-Blue³

et al. 2020

EAI Endorsed Transactions on Wireless Spectrum

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Remote and rural areas are a challenge to deploy cost-efficient connectivity solutions. 5G technology needs lower frequencies, which calls for spectrum sharing for local networks. Spectrum sensing could complement traditional database approach for spectrum sharing in these areas. This paper studies a windowing based (WIBA) blind spectrum sensing method and compares its performance to a localization algorithm based on double-thresholding (LAD). Both methods are based on energy detection and can be used in any band for detecting rather narrowband signals. Probabilities of detection and false alarm, relative mean square error, number of detected signals and detection distances were evaluated in multipath, multi-signal and rural area channel conditions. The simulation results show tha the WIBA method is suitable for 5G remote areas, due to its good detection performance in low signal-to-noise ratios (SNR) with low complexity. Results also show importance of the detection window selection.

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Exclusive Region Design for Spatial Grid-Based Spectrum Database: A Stochastic Geometry Approach

Cited by 5 publications

References 30 publications

Coverage Analysis of Cognitive mmWave Networks with Directional Sensing

Coverage Analysis of Cognitive mmWave Networks with Directional Sensing

Grid-Based Exclusive Region Design for 3D UAV Networks: A Stochastic Geometry Approach

Energy Detection Based Spectrum Sensing for Rural Area Networks

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