25 research outputs found
Towards 6G-Enabled Internet of Things with IRS-Empowered Backscatter-Assisted WPCNs
Wireless powered communication networks (WPCNs) are expected to play a key role in the forthcoming 6G systems. However, they have not yet found their way to large-scale practical implementations due to their inherent shortcomings such as the low efficiency of energy transfer and information transmission. In this thesis, we aim to study the integration of WPCNs with other novel technologies of backscatter communication and intelligent reflecting surface (IRS) to enhance the performance and improve the efficiency of these networks so as to prepare them for being seamlessly fitted into the 6G ecosystem. We first study the incorporation of backscatter communication into conventional WPCNs and investigate the performance of backscatter-assisted WPCNs (BS-WPCNs). We then study the inclusion of IRS into the WPCN environment, where an IRS is used for improving the performance of energy transfer and information transmission in WPCNs. After that, the simultaneous integration of backscatter communication and IRS technologies into WPCNs is investigated, where the analyses show the significant performance gains that can be achieved by this integration
Extending Wireless Powered Communication Networks for Future Internet of Things
Energy limitation has always been a major concern for long-term operation of wireless networks. With today's exponential growth of wireless technologies and the rapid movement towards the so-called Internet of Things (IoT), the need for a reliable energy supply is more tangible than ever. Recently, energy harvesting has gained considerable attention in research communities as a sustainable solution for prolonging the lifetime of wireless networks. Beside conventional energy harvesting sources such as solar, wind, vibration, etc. harvesting energy from radio frequency (RF) signals has drawn significant research interest in recent years as a promising way to overcome the energy bottleneck. Lately, the integration of RF energy transfer with wireless communication networks has led to the emergence of an interesting research area, namely, wireless powered communication network (WPCN), where network users are powered by a hybrid access point (HAP) which transfers wireless energy to the users in addition to serving the functionalities of a conventional access point. The primary aim of this thesis is to extend the baseline model of WPCN to a dual-hop WPCN (DH-WPCN) in which a number of energy-limited relays are in charge of assisting the information exchange between energy-stable users and the HAP. Unlike most of the existing research in this area which has merely focused on designing methods and protocols for uplink communication, we study both uplink and downlink information transmission in the DH-WPCN. We investigate sum-throughput maximization problems in both directions and propose algorithms for optimizing the values of the related parameters. We also tackle the doubly near-far problem which occurs due to unequal distance of the relays from the HAP by proposing a fairness enhancement algorithm which guarantees throughput fairness among all users
Near-Field Beamforming and Multiplexing Using Extremely Large Aperture Arrays
The number of users that can be spatially multiplexed by a wireless access
point depends on the aperture of its antenna array. When the aperture increases
and wavelength shrinks, "new" electromagnetic phenomena can be utilized to
further enhance network capacity. In this chapter, we describe how extremely
large aperture arrays (ELAA) can extend the radiative near-field region to
kilometer distances. We demonstrate how this affects the propagation models in
line-of-sight (LoS) scenarios and enables finite-depth beamforming. In
particular, it becomes possible to simultaneously serve users that are located
in the same direction but at different distances.Comment: Book chapter submitted for publication in the edited book
"Fundamentals of 6G Communications and Networking
Maximum Likelihood Channel Estimation for RIS-Aided Communications With LOS Channels
A reconfigurable intelligent surface (RIS) reflects incoming signals in
different ways depending on the phase-shift pattern assigned to its elements.
The most promising use case is to aid the communication between a base station
and a user when the user has a line-of-sight (LOS) channel to the RIS but the
direct channel is blocked. The main challenge is to estimate the channel with
limited resources because non-parametric estimation methods require a pilot
length proportional to the large number of RIS elements. In this paper, we
develop a parametric maximum likelihood (ML) channel estimation framework for
estimating the LOS channel to the RIS. We demonstrate that the proposed
algorithm can accurately obtain the channel and preferred RIS configuration
using only a few pilots. A key novelty is that the RIS configurations used
during pilot transmission are selected to progressively improve the estimation
accuracy.Comment: To appear at the Asilomar Conference on Signals, Systems, and
Computers 2022, 5 pages, 2 figure
Toward RIS-Enhanced Integrated Terrestrial/Non-Terrestrial Connectivity in 6G
The next generation of wireless systems will take the concept of
communications and networking to another level through the seamless integration
of terrestrial, aerial, satellite, maritime and underwater communication
systems. Reconfigurable intelligent surface (RIS) is an innovative technology
which, with its singular features and functionalities, can expedite the
realization of this everywhere connectivity. Motivated by the unparalleled
properties of this innovatory technology, this article provides a comprehensive
discussion on how RIS can contribute to the actualization and proper
functioning of future integrated terrestrial/non-terrestrial (INTENT) networks.
As a case study, we explore the integration of RIS into non-orthogonal multiple
access (NOMA)-based satellite communication networks and demonstrate the
performance enhancement achieved by the inclusion of RIS via numerical
simulations. Promising directions for future research in this area are set
forth at the end of this article.Comment: This work has been accepted for publication in IEEE Networ
Efficient LOS Channel Estimation for RIS-Aided Communications Under Non-Stationary Mobility
Reconfigurable intelligent surface (RIS) is a newly-emerged technology that,
with its unique features, is considered to be a game changer for future
wireless networks. Channel estimation is one of the most critical challenges
for the realization of RIS-assisted communications. Non-parametric channel
estimation techniques are inefficient due to the huge pilot dimensionality that
stems from the large number of RIS elements. The challenge becomes more serious
if we consider the mobility of the users where the channel needs to be
re-estimated whenever the user moves to a new location. This paper develops a
novel maximum likelihood estimator (MLE) for jointly estimating the
line-of-sight (LOS) channel from the user to the RIS and the direct channel
between the user and the base station. By smartly refining the RIS
configuration during the channel estimation procedure, we show that the
channels can be accurately estimated with only a few pilot transmissions --
much fewer than the number of RIS elements. The proposed scheme is also shown
to be capable of effectively tracking the channel when the user moves around in
a continuous but non-stationary manner with varying LOS angles.Comment: This paper has been accepted for presentation in IEEE ICC 202
Dual-Polarized Reconfigurable Intelligent Surface Assisted Broad Beamforming
A reconfigurable intelligent surface (RIS) consists of a large number of
low-cost elements that can control the propagation environment seen from a
transmitter by intelligently applying phase shifts to impinging signals before
reflection. This paper studies an RIS-assisted communication system where a
transmitter wants to transmit a common signal to many users residing in a wide
angular area. To cover this sector uniformly, the RIS needs to radiate a broad
beam with a spatially flat array factor, instead of a narrow beam as normally
considered. To achieve this, we propose to use a dual-polarized RIS consisting
of elements with orthogonal polarizations and show that the RIS can produce a
broad beam if the phase shift configuration vectors in the two polarizations
form a so-called Golay complementary sequence pair. By utilizing their
properties, we also present a method for constructing configuration for large
RISs from smaller ones, while preserving the broad radiation pattern of the
smaller RIS. The numerical results corroborate the mathematical analyses and
highlight the greatly improved coverage properties.Comment: This letter has been accepted for publication in IEEE Communications
Letter
A New Channel Subspace Characterization for Channel Estimation in RIS-Aided Communications
A reconfigurable intelligent surface (RIS) is a holographic MIMO surface
composed of a large number of passive elements that can induce adjustable phase
shifts to the impinging waves. By creating virtual line-of-sight (LOS) paths
between the transmitter and the receiver, RIS can be a game changer for
millimeter-wave (mmWave) communication systems that typically suffer from
severe signal attenuation. Reaping the benefits of RIS, however, relies on the
accuracy of the channel estimation, which is a challenging task due to the
large number of RIS elements. Specifically, conventional channel estimators
require a pilot overhead equal to the number of RIS elements, which is
impractical. Herein, we propose a novel way to approximately represent the RIS
channels in a lower-dimensional subspace and derive the basis vectors for the
identified subspace. We use this channel structure to only send pilots in this
subspace, thereby vastly saving on the pilot overhead. Numerical results
demonstrate that when the RIS has an element spacing of a quarter of the
wavelength, our method reduces the pilot overhead by 80% with retained or even
improved performance.Comment: This paper is accepted to be presented in ICC 2023 worksho
Parametric Channel Estimation with Short Pilots in RIS-Assisted Near- and Far-Field Communications
A reconfigurable intelligent surface (RIS) can control the wireless
propagation environment by modifying the reflected signals. This feature
requires channel state information (CSI). Considering the dimensionality of
typical RIS, CSI acquisition requires lengthy pilot transmissions. Hence,
developing channel estimation techniques with low pilot overhead is vital.
Moreover, the large aperture of the RIS may cause transmitters/receivers to
fall in its near-field region, where both distance and angles affect the
channel structure. This paper proposes a parametric maximum likelihood
estimation (MLE) framework for jointly estimating the direct channel between
the user and the base station and the line-of-sight channel between the user
and the RIS. A novel adaptive RIS configuration strategy is proposed to select
the RIS configuration for the next pilot to actively refine the estimate. We
design a minimal-sized codebook of orthogonal RIS configurations to choose from
during pilot transmission with a dimension much smaller than the number of RIS
elements. To further reduce the required number of pilots, we propose an
initialization strategy with two wide beams. We demonstrate numerically that
the proposed MLE framework only needs 6-8 pilots when conventional
non-parametric estimators need 1025 pilots. We also showcase efficient user
channel tracking in near-field and far-field scenarios.Comment: Submitted to IEEE Transaction for possible publicatio
The effect of silver nanoparticles covered with the Achillea biebersteinii plant extract on angiogenesis of chick chorioallantoic membrane
Background: Angiogenesis is a major event in many diseases such as cancer. Today, using silver nanoparticles in industry and medicine has taken into consideration. The Achillea biebersteinii extract has antibacterial, anti-inflammatory and antioxidant effects. The present study aimed at examining the effects of silver nanoparticles coated with the A. biebersteinii extract on angiogenesis of chick chorioallantoic membrane. Materials and Methods: In this experimental study, 50 fertilized eggs Ross were randomly divided into 5 groups: the sham and experimental groups 1 to 4. In the second day of incubation, the window was opened on eggs and the eggs were treated with 50, 100, 150 and 200 μg/mL silver nanoparticles. At the twelfth day, the samples were photographed and the number and lengths of vessels around the sponges, the length of crown-rump, fetal weight and blood vessels' hemoglobin levels were recorded and compared with the control group. Results: The results showed that the 50 μg/mL of silver nanoparticles had no significant effect on the angiogenesis process. However, 100,150 and 200 μg/mL of the nanoparticles doses-dependently decreased the number, length and content of hemoglobin in the blood vessels. Also, fetal weight and crown-rump in concentrations 150 and 200 μg/mL showed a significant decrease compared with the control group (P<0.01). Conclusion: Silver nanoparticles coated with A. biebersteinii extracts can be considered in the studies of diseases associated with angiogenesis such as cancer