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Halim Yanikomeroglu - One of the best experts on this subject based on the ideXlab platform.

  • investigating the gaussian convergence of the distribution of the aggregate Interference Power in large wireless networks
    IEEE Transactions on Vehicular Technology, 2010
    Co-Authors: Muhammad Aljuaid, Halim Yanikomeroglu
    Abstract:

    The distribution of the aggregate Interference Power in large wireless networks has gained increasing attention with the emergence of different types of wireless networks such as ad hoc networks, sensor networks, and cognitive radio networks. The Interference in such networks is often characterized using the Poisson point process (PPP). As the number of interfering nodes increases, there might be a tendency to approximate the distribution of the aggregate Interference Power by a Gaussian random variable, given that the individual Interference signals are independent. However, some observations in the literature suggest that this Gaussian approximation is not valid, except under some specific scenarios. In this paper, we cast these observations in a single mathematical framework and express the conditions for which the Gaussian approximation will be valid for the aggregate Interference Power generated by a Poisson field of interferers. Furthermore, we discuss the effect of different system and channel parameters on the convergence of the distribution of the aggregate Interference to a Gaussian distribution.

  • a cumulant based characterization of the aggregate Interference Power in wireless networks
    Vehicular Technology Conference, 2010
    Co-Authors: Muhammad Aljuaid, Halim Yanikomeroglu
    Abstract:

    The importance of characterizing the aggregate Interference Power generated by a wireless network has increased with the emergence of different types of wireless networks such as ad-hoc networks, sensor networks, and cognitive radios. A cumulant-based characterization of this aggregate Interference is an attractive approach. A number or recent papers in literature have dealt with cumulants of the aggregate Interference but under specific scenarios. In this paper, we introduce a simple yet comprehensive method to determine the cumulants of the aggregate Interference Power originating from a wireless network. This method is quite general and applicable for finite and infinite network sizes, and it is flexible to encompass different system and propagation parameters such as large-scale fading, small-scale fading or even composite fading. We also investigate the behavior of these cumulants with respect to changes in the network size and fading distributions.

  • Investigating the validity of the Gaussian approximation for the distribution of the aggregate Interference Power in large wireless networks
    2010 25th Biennial Symposium on Communications, 2010
    Co-Authors: Muhammad Aljuaid, Halim Yanikomeroglu
    Abstract:

    The distribution of the aggregate Interference Power in large wireless networks has gained increasing attention with the emergence of different types of wireless networks such as ad-hoc networks, sensor networks, and cognitive radio networks. The Interference in such networks is often characterized using a Poisson Point Process (PPP). As the number of interfering nodes increases, there might be a tendency to approximate the distribution of the aggregate Interference Power by a Gaussian random variable given that the individual Interference signals are independent. However, some observations in literature suggest that this Gaussian approximation is not valid except under some specific scenarios. In this paper, we cast these observations in a single mathematical framework and express the conditions for which the Gaussian approximation will be valid for the aggregate Interference Power generated by a Poisson field of interferers. Furthermore, we discuss the effect of different system and channel parameters on the convergence of the distribution of the aggregate Interference Power to a Gaussian distribution.

  • VTC Spring - A Cumulant-Based Characterization of the Aggregate Interference Power in Wireless Networks
    2010 IEEE 71st Vehicular Technology Conference, 2010
    Co-Authors: Muhammad Aljuaid, Halim Yanikomeroglu
    Abstract:

    The importance of characterizing the aggregate Interference Power generated by a wireless network has increased with the emergence of different types of wireless networks such as ad-hoc networks, sensor networks, and cognitive radios. A cumulant-based characterization of this aggregate Interference is an attractive approach. A number or recent papers in literature have dealt with cumulants of the aggregate Interference but under specific scenarios. In this paper, we introduce a simple yet comprehensive method to determine the cumulants of the aggregate Interference Power originating from a wireless network. This method is quite general and applicable for finite and infinite network sizes, and it is flexible to encompass different system and propagation parameters such as large-scale fading, small-scale fading or even composite fading. We also investigate the behavior of these cumulants with respect to changes in the network size and fading distributions.

  • VTC Fall - On the Asymptotic Analysis of Average Interference Power Generated by a Wireless Sensor Network
    2008 IEEE 68th Vehicular Technology Conference, 2008
    Co-Authors: Muhammad Aljuaid, Halim Yanikomeroglu
    Abstract:

    Massive deployments of wireless sensor networks (WSNs) are expected in near future. In one of the most likely scenarios, these WSNs would share a licensed frequency band with a primary user. So, it is essential to understand the behavior of the Interference generated by a WSN towards the primary user. This paper provides an asymptotic analysis of the average Interference Power generated by a WSN. The analysis is extended to a special but important shape of a sensor field. This shape can be used to provide an upper bound of the average Interference Power generated by any sensor field with an arbitrary shape. The paper shows that the expansion of the sensor field does not necessarily cause an increase in the average Interference Power. For most practical values of path loss exponent, the average Interference Power asymptotically approaches constant levels with the increase in the field size provided that the minimum distance from the field to the primary user is fixed. The paper provides expressions for these constants. Moreover, results indicate that a key parameter in determining the average Interference Power is the ratio of the radial depth of the field to the minimum distance from the field to the primary user. Also, this paper illustrates how a WSN can be equivalently represented by a single virtual node producing the same level of average Interference Power.

Muhammad Aljuaid - One of the best experts on this subject based on the ideXlab platform.

  • investigating the gaussian convergence of the distribution of the aggregate Interference Power in large wireless networks
    IEEE Transactions on Vehicular Technology, 2010
    Co-Authors: Muhammad Aljuaid, Halim Yanikomeroglu
    Abstract:

    The distribution of the aggregate Interference Power in large wireless networks has gained increasing attention with the emergence of different types of wireless networks such as ad hoc networks, sensor networks, and cognitive radio networks. The Interference in such networks is often characterized using the Poisson point process (PPP). As the number of interfering nodes increases, there might be a tendency to approximate the distribution of the aggregate Interference Power by a Gaussian random variable, given that the individual Interference signals are independent. However, some observations in the literature suggest that this Gaussian approximation is not valid, except under some specific scenarios. In this paper, we cast these observations in a single mathematical framework and express the conditions for which the Gaussian approximation will be valid for the aggregate Interference Power generated by a Poisson field of interferers. Furthermore, we discuss the effect of different system and channel parameters on the convergence of the distribution of the aggregate Interference to a Gaussian distribution.

  • a cumulant based characterization of the aggregate Interference Power in wireless networks
    Vehicular Technology Conference, 2010
    Co-Authors: Muhammad Aljuaid, Halim Yanikomeroglu
    Abstract:

    The importance of characterizing the aggregate Interference Power generated by a wireless network has increased with the emergence of different types of wireless networks such as ad-hoc networks, sensor networks, and cognitive radios. A cumulant-based characterization of this aggregate Interference is an attractive approach. A number or recent papers in literature have dealt with cumulants of the aggregate Interference but under specific scenarios. In this paper, we introduce a simple yet comprehensive method to determine the cumulants of the aggregate Interference Power originating from a wireless network. This method is quite general and applicable for finite and infinite network sizes, and it is flexible to encompass different system and propagation parameters such as large-scale fading, small-scale fading or even composite fading. We also investigate the behavior of these cumulants with respect to changes in the network size and fading distributions.

  • Investigating the validity of the Gaussian approximation for the distribution of the aggregate Interference Power in large wireless networks
    2010 25th Biennial Symposium on Communications, 2010
    Co-Authors: Muhammad Aljuaid, Halim Yanikomeroglu
    Abstract:

    The distribution of the aggregate Interference Power in large wireless networks has gained increasing attention with the emergence of different types of wireless networks such as ad-hoc networks, sensor networks, and cognitive radio networks. The Interference in such networks is often characterized using a Poisson Point Process (PPP). As the number of interfering nodes increases, there might be a tendency to approximate the distribution of the aggregate Interference Power by a Gaussian random variable given that the individual Interference signals are independent. However, some observations in literature suggest that this Gaussian approximation is not valid except under some specific scenarios. In this paper, we cast these observations in a single mathematical framework and express the conditions for which the Gaussian approximation will be valid for the aggregate Interference Power generated by a Poisson field of interferers. Furthermore, we discuss the effect of different system and channel parameters on the convergence of the distribution of the aggregate Interference Power to a Gaussian distribution.

  • VTC Spring - A Cumulant-Based Characterization of the Aggregate Interference Power in Wireless Networks
    2010 IEEE 71st Vehicular Technology Conference, 2010
    Co-Authors: Muhammad Aljuaid, Halim Yanikomeroglu
    Abstract:

    The importance of characterizing the aggregate Interference Power generated by a wireless network has increased with the emergence of different types of wireless networks such as ad-hoc networks, sensor networks, and cognitive radios. A cumulant-based characterization of this aggregate Interference is an attractive approach. A number or recent papers in literature have dealt with cumulants of the aggregate Interference but under specific scenarios. In this paper, we introduce a simple yet comprehensive method to determine the cumulants of the aggregate Interference Power originating from a wireless network. This method is quite general and applicable for finite and infinite network sizes, and it is flexible to encompass different system and propagation parameters such as large-scale fading, small-scale fading or even composite fading. We also investigate the behavior of these cumulants with respect to changes in the network size and fading distributions.

  • VTC Fall - On the Asymptotic Analysis of Average Interference Power Generated by a Wireless Sensor Network
    2008 IEEE 68th Vehicular Technology Conference, 2008
    Co-Authors: Muhammad Aljuaid, Halim Yanikomeroglu
    Abstract:

    Massive deployments of wireless sensor networks (WSNs) are expected in near future. In one of the most likely scenarios, these WSNs would share a licensed frequency band with a primary user. So, it is essential to understand the behavior of the Interference generated by a WSN towards the primary user. This paper provides an asymptotic analysis of the average Interference Power generated by a WSN. The analysis is extended to a special but important shape of a sensor field. This shape can be used to provide an upper bound of the average Interference Power generated by any sensor field with an arbitrary shape. The paper shows that the expansion of the sensor field does not necessarily cause an increase in the average Interference Power. For most practical values of path loss exponent, the average Interference Power asymptotically approaches constant levels with the increase in the field size provided that the minimum distance from the field to the primary user is fixed. The paper provides expressions for these constants. Moreover, results indicate that a key parameter in determining the average Interference Power is the ratio of the radial depth of the field to the minimum distance from the field to the primary user. Also, this paper illustrates how a WSN can be equivalently represented by a single virtual node producing the same level of average Interference Power.

Rui Zhang - One of the best experts on this subject based on the ideXlab platform.

  • protecting primary users in cognitive radio networks peak or average Interference Power constraint
    International Conference on Communications, 2009
    Co-Authors: Rui Zhang, Xin Kang, Yingchang Liang
    Abstract:

    This paper considers spectrum sharing between a cognitive radio (CR) and a primary radio (PR) where the CR protects the PR transmission by regulating the resultant Interference Power level at the PR receiver to be below some predefined threshold. The Interference-Power constraint at the PR receiver is usually one of the following two types: average Interference Power (AIP) constraint that regulates the average Power level over different fading states and peak Interference Power (PIP) constraint that limits the peak Power level at each fading state. From CR's perspective, AIP constraint is more favorable than PIP constraint because of its more flexibility for dynamic Power allocations. On the contrary, from the perspective of protecting the PR, the more restrictive PIP constraint appears at a first glance to be a better option. Some surprisingly, this paper shows that in terms of various forms of capacity limits achievable for the PR fading channel, namely, ergodic and outage capacities, AIP constraint is also superior over PIP constraint. This result is based upon an interesting Interference diversity phenomenon, i.e., variable Interference Power levels at the PR receiver in the AIP case are more advantageous over constant ones in the PIP case for minimizing the resulted PR capacity losses. Therefore, AIP constraint leads to larger fading channel capacities over PIP constraint for both CR and PR transmissions.

  • on peak versus average Interference Power constraints for protecting primary users in cognitive radio networks
    IEEE Transactions on Wireless Communications, 2009
    Co-Authors: Rui Zhang
    Abstract:

    This paper considers spectrum sharing for wireless communication between a cognitive radio (CR) link and a primary radio (PR) link. It is assumed that the CR protects the PR transmission by applying the so-called ldquoInterference-temperaturerdquo constraint, whereby the CR is allowed to transmit regardless of the PR's on/off status provided that the resultant Interference Power level at the PR receiver is kept below some predefined threshold. For the fading PR and CR channels, the Interference-Power constraint at the PR receiver is usually one of the following two types: one is to regulate the average Interference Power (AIP) over all different fading states, while the other is to limit the peak Interference Power (PIP) at each fading state. From the CR's perspective, given the same average and peak Power threshold, the AIP constraint is more favorable than the PIP counterpart because of its more flexibility for dynamically allocating transmit Powers over different fading states. On the contrary, from the perspective of protecting the PR, the more restrictive PIP constraint appears at a first glance to be a better option than the AIP. Some surprisingly, this paper shows that in terms of various forms of capacity limits achievable for the PR fading channel, e.g., the ergodic and outage capacities, the AIP constraint is also superior over the PIP. This result is based upon an interesting Interference diversity phenomenon, where randomized Interference Powers over the fading states in the AIP case are more advantageous over deterministic ones in the PIP case for minimizing the resultant PR capacity losses. Therefore, the AIP constraint results in larger fading channel capacities than the PIP for both the CR and PR transmissions.

  • ICC - Protecting Primary Users in Cognitive Radio Networks: Peak or Average Interference Power Constraint?
    2009 IEEE International Conference on Communications, 2009
    Co-Authors: Rui Zhang, Xin Kang, Yingchang Liang
    Abstract:

    This paper considers spectrum sharing between a cognitive radio (CR) and a primary radio (PR) where the CR protects the PR transmission by regulating the resultant Interference Power level at the PR receiver to be below some predefined threshold. The Interference-Power constraint at the PR receiver is usually one of the following two types: average Interference Power (AIP) constraint that regulates the average Power level over different fading states and peak Interference Power (PIP) constraint that limits the peak Power level at each fading state. From CR's perspective, AIP constraint is more favorable than PIP constraint because of its more flexibility for dynamic Power allocations. On the contrary, from the perspective of protecting the PR, the more restrictive PIP constraint appears at a first glance to be a better option. Some surprisingly, this paper shows that in terms of various forms of capacity limits achievable for the PR fading channel, namely, ergodic and outage capacities, AIP constraint is also superior over PIP constraint. This result is based upon an interesting Interference diversity phenomenon, i.e., variable Interference Power levels at the PR receiver in the AIP case are more advantageous over constant ones in the PIP case for minimizing the resulted PR capacity losses. Therefore, AIP constraint leads to larger fading channel capacities over PIP constraint for both CR and PR transmissions.

  • On Peak versus Average Interference Power Constraints for Spectrum Sharing in Cognitive Radio Networks
    2008
    Co-Authors: Rui Zhang
    Abstract:

    This paper considers spectrum sharing for wireless communication between a cognitive radio (CR) link and a primary radio (PR) link. It is assumed that the CR protects the PR transmission by applying the so-called Interference-temperature constraint, whereby the CR is allowed to transmit regardless of the PR's on/off status provided that the resultant Interference Power level at the PR receiver is kept below some predefined threshold. For the fading PR and CR channels, the Interference-Power constraint at the PR receiver is usually one of the following two types: One is to regulate the average Interference Power (AIP) over all the fading states, while the other is to limit the peak Interference Power (PIP) at each fading state. From the CR's perspective, given the same average and peak Power threshold, the AIP constraint is more favorable than the PIP counterpart because of its more flexibility for dynamically allocating transmit Powers over the fading states. On the contrary, from the perspective of protecting the PR, the more restrictive PIP constraint appears at a first glance to be a better option than the AIP. Some surprisingly, this paper shows that in terms of various forms of capacity limits achievable for the PR fading channel, e.g., the ergodic and outage capacities, the AIP constraint is also superior over the PIP. This result is based upon an interesting Interference diversity phenomenon, i.e., randomized Interference Powers over the fading states in the AIP case are more advantageous over deterministic ones in the PIP case for minimizing the resultant PR capacity losses. Therefore, the AIP constraint results in larger fading channel capacities than the PIP for both the CR and PR transmissions.

  • on peak versus average Interference Power constraints for protecting primary users in cognitive radio networks
    arXiv: Information Theory, 2008
    Co-Authors: Rui Zhang
    Abstract:

    This paper considers spectrum sharing for wireless communication between a cognitive radio (CR) link and a primary radio (PR) link. It is assumed that the CR protects the PR transmission by applying the so-called Interference-temperature constraint, whereby the CR is allowed to transmit regardless of the PR's on/off status provided that the resultant Interference Power level at the PR receiver is kept below some predefined threshold. For the fading PR and CR channels, the Interference-Power constraint at the PR receiver is usually one of the following two types: One is to regulate the average Interference Power (AIP) over all the fading states, while the other is to limit the peak Interference Power (PIP) at each fading state. From the CR's perspective, given the same average and peak Power threshold, the AIP constraint is more favorable than the PIP counterpart because of its more flexibility for dynamically allocating transmit Powers over the fading states. On the contrary, from the perspective of protecting the PR, the more restrictive PIP constraint appears at a first glance to be a better option than the AIP. Some surprisingly, this paper shows that in terms of various forms of capacity limits achievable for the PR fading channel, e.g., the ergodic and outage capacities, the AIP constraint is also superior over the PIP. This result is based upon an interesting Interference diversity phenomenon, i.e., randomized Interference Powers over the fading states in the AIP case are more advantageous over deterministic ones in the PIP case for minimizing the resultant PR capacity losses. Therefore, the AIP constraint results in larger fading channel capacities than the PIP for both the CR and PR transmissions.

Mounir Ghogho - One of the best experts on this subject based on the ideXlab platform.

  • Correction to “Mobile Crowd-Sensing Wireless Activity With Measured Interference Power”
    IEEE Wireless Communications Letters, 2015
    Co-Authors: Syed Ali Raza Zaidi, Des Mclernon, Mounir Ghogho
    Abstract:

    In a recent letter, Guo et al. developed a novel method for inferring the wireless activity of other users by measuring the passive aggregate Interference Power received on a mobile device. The key objective of their study is to develop a non-intrusive method for activity sensing which does not rely on measurements from a live network. The proposed mobile crowd sensing mechanism relies on the analytical computation of the median of the aggregate Interference, to estimate the activity levels in an OFDMA based communication system. A closed form expression for the median is obtained from the computation of the cumulative distribution function (CDF) for the aggregate co-channel Interference. In this letter, we highlight that the expressions for the probability density function (PDF) and CDF of the aggregate Interference obtained by inversion of the moment generating function (MGF) in Guo and Wang (Eqs. (5) and (6)) are only valid for $\alpha\!=\!4$ and they do not hold in general. Moreover, it is observed that authors employ the median of the aggregate Interference, as the expectation of the Interference Power does not converge. In this letter, we show that this issue can be circumvented by using a non-singular path-loss model.

Siyi Wang - One of the best experts on this subject based on the ideXlab platform.

  • Mobile Crowd-Sensing Wireless Activity with Measured Interference Power
    IEEE Wireless Communications Letters, 2013
    Co-Authors: Weisi Guo, Siyi Wang
    Abstract:

    In this paper, we present a novel method for sensing the volume of wireless throughput of other users by measuring the passive Interference Power received on mobile devices. The benefit of this mobile crowd-sensing approach is that it offers a non-intrusive way of inferring the level of wireless traffic, without requiring to extract data from commercial or private devices. The availability of cross-network wireless traffic data can allow individual operators to deploy femto-cells effectively. The proposed technique requires only approximate location data and is independent of the traffic pattern. The results show that the sensing accuracy for cell-level activity is high (