The present disclosure relates to modulators wireless communication systems.
Wireless data rates have doubled every eighteen months for the last three decades. Following this trend, Terabit-per-second (Tbps) links are expected to become a reality within the next five years. The limited available bandwidth for communication systems in the microwave frequency range motivates the exploration of higher frequency bands for communication. In this direction, millimeter wave (mm-wave) communication systems, such as those at 60 GHz, have been heavily explored in the last decade. However, despite their much higher operation frequency, the available bandwidth for communication is less than 10 GHz. This would require the use of communication schemes able to provide a spectral efficiency in the order of 100 bits/second/Hz to support 1 Tbps, which is several times above the state-of-the-art for wireless communication.
In this context, the Terahertz band (0.1-10 THz) is envisioned as a key player to satisfy the need for much higher wireless data rates. Despite the absorption from water vapor molecules, the THz band supports very large transmission bandwidths, which range from almost 10 THz for communication distances below one meter, to multiple transmission windows, each of them tens to hundreds of GHz wide, for distances in the order of tens of meters. Traditionally, the lack of compact and efficient THz signal sources and detectors, able to operate at room temperature, has limited the use of the THz band. However, major progress in the last decade is finally helping to close the THz gap.
In addition to THz signal sources and detectors, a modulator is needed to embed information on the transmitted signals. The desired properties of a modulator include high modulation bandwidth, i.e., the speed at which the properties of the modulated signal can be changed, and high modulation depth, i.e., the maximum difference between modulation states. Different types of modulators able to control the amplitude or phase of THz waves have been developed to date. A high-electron-mobility transistor based on a III-V semiconductor material was utilized to modulate the amplitude of a THz wave. In another work, a metamaterial-based modulator was utilized to control the phase of a THz wave. In both cases, sub-GHz modulation bandwidths and low modulation depths limited the use of these devices in practical communication systems.
More recently, the use of graphene to develop THz wave modulators has been proposed. Graphene has excellent electrical conductivity, making it very well suited for propagating extremely-high-frequency electrical signals. A graphene-based amplitude modulator for THz waves was developed. This was enabled by the possibility to dynamically control the conductivity of graphene. In another work, a similar principle was exploited in a graphene-based meta-device. In these setups, the main challenge was to increase the modulation depth. A low modulation depth makes the transmitted symbols more difficult to distinguish and, thus, results in higher symbol error rates (SER) in practical communication systems.
In a first aspect, the present disclosure provides a plasmonic phase modulator having a conductive layer. A dielectric layer is disposed on the conductive layer. The dielectric layer may be made from silicon dioxide (SiO2). A plasmonic layer is disposed on the dielectric layer, the plasmonic layer being conductive to surface plasmon polariton (SPP) waves. The plasmonic layer may be, for example, a graphene sheet. The plasmonic layer has a length along a direction of wave travel. A voltage signal source is operatively connected between the conductive layer and the plasmonic layer for modulating a propagation speed of an SPP wave propagating on the plasmonic layer.
In some embodiments, the plasmonic phase modulator may further include an SPP generator operatively coupled to a first end of the plasmonic layer. In some embodiments, the plasmonic phase modulator may further include an antenna operatively coupled to a second end of the plasmonic layer.
In another aspect, the present disclosure may be embodied as a method for modulating an SPP wave. The method includes launching an SPP wave on a plasmonic layer of a plasmonic wave guide. The plasmonic layer of the plasmonic waveguide may be a graphene sheet. A bias voltage is applied to a region of the plasmonic layer to control the Fermi energy of the plasmonic layer at the region. The bias voltage is modulated to impart a corresponding phase modulation to the SPP wave. The method may further include radiating the SPP wave using an antenna.
For a fuller understanding of the nature and objects of the disclosure, reference should be made to the following detailed description taken in conjunction with the accompanying drawings, in which:
A graphene-based plasmonic phase modulator for THz-band communications is provided, and the performance is modeled and analyzed herein. In some embodiments, the presently-disclosed modulator comprises a fixed-length graphene-based plasmonic waveguide with a metallic back gate. Not intending to be bound by any particular theory, its working principle is based on the ability to control the propagation speed of a Surface Plasmon Polariton (SPP) wave on graphene at THz frequencies by modifying the chemical potential of the graphene layer. An analytical model is developed herein starting from the dynamic complex conductivity of graphene and a revised dispersion equation for SPP waves. By utilizing the model, the performance of the presently-disclosed plasmonic modulator is analyzed when utilized to implement an M-ary phase shift keying modulation in terms of SER. The model is validated using electromagnetic simulations, and numerical results are provided to illustrate the modulator performance. The results show that, despite generating a non-uniform signal space constellation, the modulated symbols are sufficiently apart to be easily distinguishable. This highlights the use of the presently-disclosed approach for practical wireless communication systems in the THz band.
With reference to
A plasmonic layer 40 is disposed on the dielectric layer 30. The plasmonic layer 40 is made from a material conductive to plasmons. For example, in some embodiments, the plasmonic layer 40 comprises a graphene sheet, such as, for example, a graphene nanoribbon. The plasmonic layer 40 has a length along a direction of wave propagation. The direction of wave propagation may extend from a first end 44 of the plasmonic layer 40 to a second end 46 of the plasmonic layer 40. A voltage signal source 50 may be operatively connected between the conductive layer 20 and the plasmonic layer 40 for modulating a propagation speed of a surface plasmon polariton (SPP) wave propagating on the plasmonic material of the plasmonic layer 40, as further described in the analytical discussion below. The signal source 50 is coupled to the plasmonic layer 50 such that the voltage signal is applied to the plasmonic layer 40 at a location along its length which is within the region defined by the extent of the dielectric layer 30. In this way, a bias voltage can be applied to the plasmonic layer 40.
With further reference to
The phase modulator 10 may further comprise an antenna 64, for example, a plasmonic nano-antenna, for radiating the SPP wave. The antenna 64 may be located at the second end 46 of the plasmonic layer 40 so as to radiate the phase-modulated wave after having passed through an active region proximate to the dielectric region. In some embodiments, the plasmonic layer 40 may extend to and/or be a part of a plasmonic layer of the antenna 60. In this way, an SPP wave may continue from the plasmonic layer of the phase modulator 10 to the antenna 64 by way of common plasmonic layers.
With respect to
Embodiments of the present disclosure are further described below with reference to graphene structures. It should be noted that examples and embodiments used are illustrative and not intending to be limiting.
The characterization of SPP propagation properties on graphene is used for the analysis of the presently-disclosed plasmonic phase modulator. These properties depend on the conductivity of the graphene sheet. In this section, the conductivity model utilized in the analysis is reviewed and the dispersion equation for SPP waves on gated graphene structures is defined.
For the analysis, consider a surface conductivity model for infinitely large graphene sheets obtained using the Kubo formalism. This is given by
where ω=2πf, ℏ=h/2π is the reduced Planck's constant, e is the electron charge, kB is the Boltzmann constant, T is temperature, EF refers to the Fermi energy of the graphene sheet, and τg is the relaxation time of electrons in graphene, which depends on the electron mobility μg. EF can be modified by means of electrostatic bias or gating of the graphene layer, enabling the aforementioned antenna tuning.
A more accurate conductivity model can be developed by taking into account the impact of electron lateral confinement on graphene nano-ribbons, but the two models converge for graphene strips which are 50 nm wide or more. In the present analysis, plasmonic resonant cavities which are a few hundred nanometers wide are considered. Finally, it is noted that the conductivity model described by (1) and the following was derived by neglecting the spatial dispersion of the AC field. Therefore, it can be used for the analysis of the SPP propagation in the long wavelength limit only, i.e., ω>>ksppνF, where kspp is the SPP wave number and νF≈8×105 m/s is the Fermi velocity of Dirac fermions in graphene.
The propagation properties of SPP waves can be obtained by deriving and solving the SPP wave dispersion equation on graphene. In related graphene plasmonic work, the dispersion equation was obtained by considering a graphene layer at the interface between two infinitely large dielectric materials, usually between air and silicon dioxide (SiO2). However, the presently-disclosed modulator utilizes the presence of a metallic ground plane at a distance d from the graphene layer, which is used both to create the plasmonic waveguide as well as to control the Fermi energy of the graphene layer and tune its conductivity.
The dispersion equation for Transverse Magnetic (TM) SPP waves on gated graphene structures in the quasi-static regime—i.e., for kspp>>ω/c, where c is the speed of light—is given by
where σg is the conductivity of graphene given by (1), ε1 is the relative permittivity of the dielectric above the graphene layer, and ε2 is the relative permittivity of the dielectric between the graphene layer and the metallic ground plane, which are separated by a distance d. It can be easily shown by taking the limit of d→∞ that (5) tends to the quasi-static dispersion equation of SPP waves in ungated graphene used in the aforementioned works.
By solving (5), the complex wave vector kspp can be obtained. The real part of the wave vector,
determines the SPP wavelength λspp and the SPP wave propagation speed. The imaginary part determines the SPP decay or, inversely,
determines the SPP propagation length, which is defined as the distance at which the SPP intensity has decreased by a value of 1/e. A closed-form expression for kspp in this case can be obtained numerically.
In this section, the working principle of the plasmonic phase modulator is explained and its analytical model is developed.
The conceptual design of the presently-disclosed graphene-based plasmonic phase modulator is shown in
The plasmonic signals at the input and the output of the plasmonic waveguide are denoted as X and Y, respectively. The modulator frequency response is denoted by H. The following relation can be then written,
Y(f, EF)=X(f)H(f, EF), (8)
where f stands for frequency and EF is the Fermi energy of the graphene layer on which the SPP wave propagates.
The modulator frequency response H is given by
H(f, EF)=|H(f, EF)|exp(jθ(f, EF)), (9)
where |H| accounts for the variation in the SPP wave intensity and θ represents the change in the SPP phase at the output of the fixed-length waveguide.
From above, the magnitude of the modulator response can be written as
|H(f, EF)|=exp(−2Im{kspp(f, EF)}L), (10)
where L represents the waveguide length.
The total phase change θ that the SPP wave suffers as it propagates through the waveguide is given by
where λspp is the plasmonic wavelength obtained from kspp as discussed above, which depends on the signal frequency f and the Fermi energy EF.
By combining (10) and (11) in (9), the modulator frequency response can be written as
H(f, EF)=exp(−2Im{kspp(f, EF)} L)·exp(jRe{kspp(f, EF)} L). (12)
In an ideal phase modulator, the intensity or amplitude of the signal should remain constant, independently of the phase. However, the SPP decay in graphene structures is not negligible. As a result, the signal amplitude and phase cannot be independently modulated. This has a direct impact on the performance of the modulator in a practical communication system, which is analyzed below.
In this section, the constellation of a non-uniform plasmonic phase shift keying digital modulation is defined and the SER for M-ary modulations is formulated.
The signal space or constellation represents the possible symbols generated by a given modulation scheme as points in the complex plane. The real part of each of such points is referred to as the in-phase component and the imaginary part denotes the quadrature component.
The number of modulated symbols or points in the constellation is given by M=2k, where k=2, 4, . . . refers to the modulation order. The position of each symbol Sm, m=1 . . . M, depends on the modulator behavior. For the system above, at fixed carrier frequency fc, the magnitude and phase of each symbol is given by
S
m
=|S
m|exp(θm), (13)
|Sm|=A0|H(fc, EF,m)|, (14)
θm=θ0+θ(fc, EF,m), (15)
where A0 and θ0 refer to the amplitude and phase of the input SPP wave. EF,m={EF,1, EF,1, . . . EF,M} is the set of Fermi energies that correspond to the transmitted symbols. The present analysis considers A0=1 and θ0=0. The constellation for the presently-disclosed plasmonic phase modulator is numerically obtained below under the heading “Simulation and Numerical Results.”
The most common metric for a modulation scheme in a practical communication system is the SER. This is implicitly related to the modulation intensity or depth. The more “distinguishable” the symbols are, the lower the SER. In general terms, for a modulated symbol Sm, the symbol error probability Pe is given by
P
e
=P{Detect S{tilde over (m)}, {tilde over (m)}≠m|Given that Sm is sent}, (16)
where m=1, 2, 3 . . . M. The SER for a digital phase modulation with uniform constellation is derived based on the symbol decision regions, which due to symmetry, are easy to define. However, this is not the case for non-uniform modulations.
Instead, the SER for the presently-disclosed plasmonic phase modulation scheme can be directly derived starting from the distance between symbols in the non-uniform constellation.
In general terms, the union bound for the SER is given by
where the Q function refers to the tail probability of the standard normal distribution, D(Sm, S{tilde over (m)}) stands for the distance between two symbols Sm and S{tilde over (m)}, and is given by
D(Sm, S{tilde over (m)})2=∥Sm−S{tilde over (m)}∥2, (18)
and N0 is the noise power spectral density.
A common representation of the SER is as a function of signal-to-noise ratio (SNR) or the energy per symbol to noise power spectral density Es/N0. From (14), this is given by
Finally, by combining (17), (18) and (19), the SER for the non-uniform constellation can be further expressed as
The SER will be numerically investigated in the next section.
In this section, the models are validated and the performance of the presently-disclosed plasmonic phase modulator is analyzed.
COMSOL Multiphysics was used to simulate the behavior of the plasmonic phase modulator shown in
In addition to the phase, the change in the amplitude of the SPP wave amplitude is considered, as it will affect the signal space constellation and the SER.
In
Although the present disclosure has been described with respect to one or more particular embodiments, it will be understood that other embodiments of the present disclosure may be made without departing from the spirit and scope of the present disclosure.
This application claims priority to U.S. Provisional Application No. 62/483,080, filed on Apr. 7, 2017, now pending, the disclosure of which is incorporated herein by reference.
This invention was made with government support under contract no. FA8750-15-1-0050 awarded by the Air Force Research Laboratory. The government has certain rights in the invention.
Number | Date | Country | |
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62483080 | Apr 2017 | US |