Energy Efficient Inter-Frequency Small Cell Discovery in Heterogeneous Networks

Onireti, Oluwakayode; Imran, Ali; Imran, Muhammad Ali; Tafazolli, Rahim

doi:10.1109/tvt.2015.2482818

Cited by 27 publications

(6 citation statements)

References 34 publications

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“…For simplicity, set e min k,n 1 ≡ e min for the energy harvesting thresholds and ζ k,n 1 ≡ ζ, ∀k, n 1 for the energy harvesting conversion. Further, we set energy conversion efficiency ζ = 0.5, noise variance σ 2 a = −90 dBm (unless specified otherwise), maximum BS transmit power P max k = 26 dBm, ∀ k, which is in line with the frequently made assumption for the power budget of small-cell BSs [50]. We choose the value P max = 30 dBm of the power budget for the whole network.…”

Section: Simulation Resultsmentioning

confidence: 99%

Secure and Energy-Efficient Beamforming for Simultaneous Information and Energy Transfer

Nasir

Tuan

Duong

et al. 2017

IEEE Trans. Wireless Commun.

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Next-generation communication networks will likely involve the energy-efficient transfer of information and energy over the same wireless channel, for which the physical layer will become more vulnerable to cyber attacks by potential multi-antenna eavesdroppers. To address this issue, this paper considers transmit time-switching (TS) mode, in which energy and information signals are transmitted separately in time by the BS. This protocol is not only easy to implement but also delivers the opportunity of multi-purpose beamforming, in which energy beamformers during wireless power transfer are useful in jamming the eavesdropper. In the presence of imperfect channel estimation and multi-antenna eavesdroppers, the energy and information beamformers and the transmit TS ratio are jointly optimized to maximize the worst-case user secrecy rate subject to UEs harvested energy thresholds and a BS transmit power budget. New robust path-following algorithms, which involve one simple convex quadratic program at each iteration are proposed for computational solutions of this difficult optimization problem and also the problem of secure energy efficiency maximization. The latter is further complex due to additional optimization variables appearing in the denominator of the secrecy rate function. Numerical results confirm that the performance of the proposed computational solutions is robust against the channel uncertainties.

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Section: Simulation Resultsmentioning

confidence: 99%

Secure and Energy-Efficient Beamforming for Simultaneous Information and Energy Transfer

Nasir

Tuan

Duong

et al. 2017

IEEE Trans. Wireless Commun.

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“…The authors in [13] also included a per-user fractional power control (FPC) in their model. The results in [12] have also been extended to the multitier UHF cellular networks in [14][15][16][17] and for systems performance analysis in [18][19][20]. However, as a result of blockage and the different propagation model, the result obtained for the UHF networks are not applicable to the mmWave networks.…”

Section: Related Workmentioning

confidence: 99%

“…Hence, the user PPP λ u is thinned to obtain a point process = {X z }, where X z is the location active outdoor user. As in [16,18,23], we assume that the active users also form PPP even after associating just one user per BS. Since we have one active user per cell, the density φ of the thinned PPP of active users is set to be equal to the BS density λ.…”

Section: Network Modelmentioning

confidence: 99%

Coverage and rate analysis in the uplink of millimeter wave cellular networks with fractional power control

Onireti

Imran

2018

J Wireless Com Network

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In this paper, using the concept of stochastic geometry, we present an analytical framework to evaluate the signal-to-interference-and-noise-ratio (SINR) coverage in the uplink of millimeter wave cellular networks. By using a distance-dependent line-of-sight (LOS) probability function, the location of LOS and non-LOS users are modeled as two independent non-homogeneous Poisson point processes, with each having a different pathloss exponent. The analysis takes account of per-user fractional power control (FPC), which couples the transmission of users based on location-dependent channel inversion. We consider the following scenarios in our analysis: (1) pathloss-based FPC (PL-FPC) which is performed using the measured pathloss and (2) distance-based FPC (D-FPC) which is performed using the measured distance. Using the developed framework, we derive expressions for the area spectral efficiency. Results suggest that in terms of SINR coverage, D-FPC outperforms PL-FPC scheme at high SINR where the future networks are expected to operate. It achieves equal or better area spectral efficiency compared with the PL-FPC scheme. Contrary to the conventional ultra-high frequency cellular networks, in both FPC schemes, the SINR coverage decreases as the cell density becomes greater than a threshold, while the area spectral efficiency experiences a slow growth region.

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“…The work in [9] was based on the downlink of cellular networks with the single-slope pathloss model. This has been extended by considering a multislope pathloss model in [10] and [11], the multitier cellular networks in [12]- [14], the single-tier uplink cellular networks in [15], and the multitier uplink cellular networks in [16]- [18].…”

Section: Introductionmentioning

confidence: 99%

Outage Probability in the Uplink of Multitier Millimeter Wave Cellular Networks

Onireti

Zhang

Imran

et al. 2020

IEEE Systems Journal

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In this article, using the stochastic geometry, we develop a tractable uplink modeling framework for the outage probability of the multitier millimeter wave (mmWave) cellular networks. Each tier's mmWave base stations (BSs) are randomly located and they have particular spatial density, antenna gain, receiver sensitivity, blockage parameter, and pathloss exponents. Our model takes account of the maximum power limitation and the per-user power control. More specifically, each user, which could be in line-of-sight (LOS) or non-LOS to its serving mmWave BS, controls its transmit power such that the received signal power at its serving BS is equal to a predefined threshold. Hence, a truncated channel inversion power control scheme is implemented for the uplink of mmWave cellular networks. We derive closed-form expressions for the signal-to-interference-plus-noise-ratio (SINR) outage probability for the uplink of the multitier mmWave cellular networks, which we later degrade to the single-tier network. Furthermore, we analyze the case with a dense network by utilizing the simplified model, where the LOS region is approximated as a fixed LOS disk. The results show that imposing a maximum power constraint on the user significantly affects the SINR outage probability in the uplink of mmWave cellular networks. Index Terms-Millimeter wave (mmWave), power control, stochastic geometry, truncated channel inversion, uplink communication.

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Energy Efficient Inter-Frequency Small Cell Discovery in Heterogeneous Networks

Cited by 27 publications

References 34 publications

Secure and Energy-Efficient Beamforming for Simultaneous Information and Energy Transfer

Secure and Energy-Efficient Beamforming for Simultaneous Information and Energy Transfer

Coverage and rate analysis in the uplink of millimeter wave cellular networks with fractional power control

Outage Probability in the Uplink of Multitier Millimeter Wave Cellular Networks

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