The present disclosure relates to communication devices and methods using a novel modulation scheme.
Quadrature Amplitude Modulation (QAM) has become one of the predominant modulation schemes used to improve spectral efficiency of both wired and wireless communications. In QAM, two real-valued signal components (either analog or digital) are transmitted over the same carrier frequency.
QAM is limited to only two components, generally called in-phase and quadrature components. Multi-dimensional QAM can be generated by artificially grouping several inphase and quadrature components, e.g. grouping two QAM subcarriers of an OFDM, thereby generating a four-dimensional signal. Still, the underlying concept of QAM is based on only two signal components, using cosine and sine modulators.
The “background” description provided herein is for the purpose of generally presenting the context of the disclosure. Work of the presently named inventor(s), to the extent it is described in this background section, as well as aspects of the description which may not otherwise qualify as prior art at the time of filing, are neither expressly nor impliedly admitted as prior art against the present disclosure.
It is an object to extend the concept of QAM.
According to an aspect there is provided a communication device comprising circuitry configured to
According to a further aspect there is provided a communication device comprising circuitry configured to
According to still further aspects corresponding communication methods, a computer program comprising program means for causing a computer to carry out the steps of the method disclosed herein, when said computer program is carried out on a computer, as well as a non-transitory computer-readable recording medium that stores therein a computer program product, which, when executed by a processor, causes the method disclosed herein to be performed are provided.
Embodiments are defined in the dependent claims. It shall be understood that the disclosed communication method, the disclosed computer program and the disclosed computer-readable recording medium have similar and/or identical further embodiments as the claimed communication devices and as defined in the dependent claims and/or disclosed herein.
The present disclosure presents a modulation scheme to transmit signals (analog or digital) via a new signal processing chain. It extends the concept of QAM, in which two signal components are transmitted via a cosine and sine wave of the same frequency. While QAM can be described in the complex domain (using real and imaginary numbers), the new scheme will process a four-dimensional signal. In an embodiment, quaternions (using real and three imaginary numbers) may be used to process and transmit the four independent signal components of the four-dimensional signal.
In an embodiment, two quaternions may be used in conjunction with two carrier frequencies at the transmitter side and at the receiver side. Frequency diversity can thus be exploited by the presented modulation scheme, since four independent signal components are spread over two frequency bands. Further, depending on the choice of the parameters of the modulation, e.g. of modulating quaternions, new four-dimensional constellations may be formed, allowing for spectral shaping to optimize the robustness of the signal.
The foregoing paragraphs have been provided by way of general introduction and are not intended to limit the scope of the following claims. The described embodiments, together with further advantages, will be best understood by reference to the following detailed description taken in conjunction with the accompanying drawings.
A more complete appreciation of the disclosure and many of the attendant advantages thereof will be readily obtained as the same becomes better understood by reference to the following detailed description when considered in connection with the accompanying drawings, wherein:
Referring now to the drawings, wherein like reference numerals designate identical or corresponding parts throughout the several views,
Alternatively, the modulation from
QAM is limited to only two components. Multi-dimensional QAM can be generated by artificially grouping several in-phase and quadrature phase components, e.g. grouping two QAM subcarriers of an OFDM, thereby generating a four-dimensional signal. Still, the underlying concept of QAM is based on only two signal components, using cosine and sine modulators.
The present disclosure proposes to extend the QAM concept.
According to the present disclosure the first communication device 100 comprises circuitry 101 configured to modulate a four-dimensional input signal by combining the four real-valued signal components of the input signal into a transformed signal and multiplying the transformed signal by carrier signals using two different carrier frequencies to obtain a transmit signal, and to transmit the transmit signal. The second communication device 200 comprises circuitry 201 configured to receive a transmit signal and to demodulate the transmit signal into a four-dimensional output signal by multiplying the transmit signal by carrier signals using two different carrier frequencies to obtain a retransformed signal and decomposing the retransformed signal into the four real-valued signal components of the output signal.
In an embodiment the QAM concept is extended to so-called quaternion based algebra. The resulting scheme will herein be denoted as Quaternion Amplitude Modulation, or Quat-AM in short. While complex numbers extend the (real) number space from a one-dimensional special unitary (SU(1)) group to a two-dimensional group (SU(2)), quaternions extend the number space to a four-dimensional special unitary (SU(4)) group: x=x0+x=x0+ix1+jx2+kx3, where □0 is the real part, and x is a pure quaternion (often expressed as 3D vector x=(x1 x2 x3)T), consisting of three (independent) imaginary (fundamental quaternion) units i, j and k. (.)T is the transpose operation, transforming a row vector into a column vector (or vice versa).
They define a (strict) skew field, in which basic rules apply, except multiplication not being commutative. The Hamilton product of two quaternions a, b is a·b=a0·b0−α,b+a0b +b0α+α×b. Hereby, a0·b0−α,b+a0 b+b0α is known from complex numbers (α,b being the scalar product of α and b) and α×b is the additional non-commutative complex part, expressed by a vector product.
Some further Quaternion basics are as follows:
with Hermitian:
In the following, a general quaternion rotation will be used, defined by xrotated=eαxebwith b not necessarily−α (in fact, this special case, will be excluded).
The idea of Quat-AM is to consider quaternion based algebra, to form a TX/RX architecture, allowing to transmit four independent, real-valued signal components. This will be illustrated in the following by way of several embodiments for TX and RX architectures. Subscripts (e.g. “01”) indicate the description with two carrier frequencies f0 and f1, and various subtypes are denoted by different super-indices (e.g., “a” vs. “b” implementation).
The transmit signal s consists of two spectra/bands, centered around the “sum and the difference frequencies” ωΣ=ω0+ω1 and ωΔ=ω0−ω1. In both bands, all four signal components x0 . . . 3 are transmitted. This offers frequency diversity in frequency selective fading channels. In general, the presented communication devices and methods allow a novel way to apply channel bonding (if two channels at ωΣ and ωΔ are to be grouped together, even when the bands are non-adjacent).
For the simple example of using f1=0 Hz and α=i (conventional imaginary unit), the output is a normal QAM. In this case, only x0 and x1 can be recovered at the receiver and the components x2 and x3 cannot be resolved (mathematically, the matrix Q shown below will have only rank two, i.e., only two independent rows/columns).
In summary, the following relationships and abbreviations hold: ω0≥ω1≥ωc; define ωΣ=ω0+ω1;ωΔ=ω0−ω1; ωc being the cutoff frequency of an ideal lowpass filter
Q′ being a unit dyadic forming matrix
cv=cos(ωvt); sv=sin(ωvt);v∈{0,1Δ,Σ}; x=(x1x2X3)T
s=Re{eαω
2s=x0(cΔ+cΣ)−x,α(sΔ+sΣ)+x,β(sΔ'sΣ)+x,γ(cΔ−cΣ)−x0ϵ(cΔ−cΣ)→for TXΔΣ realization
α=(α1α2α3)T;β=(β1β2β3)T;γ=(γ1γ2γ3)T=α×α;ϵ=α,β=Σv=13αvβv;|α|=|β|=1
In the following some comments on the choice of modulating quaternions α and β are provided. It can be shown that α and β must not be parallel, i.e., linear dependent. Otherwise, the four signal components cannot be fully recovered. For the special case of α and β being orthogonal, it can further be shown that the Q matrix is the identity matrix, i.e., no matrix inversion is needed for such settings.
If α ⊥β, i.e., a and § being orthogonal, the unit dyadic forming matrix Q′ will produce the identity matrix I3 and thus Q=I4. If α=±β, then Q is singular, else regular (and can be inverted). For the ideal channel it holds: {tilde over (r)}=r=s→output {circumflex over (x)}=Q−1 {tilde over (r)}=x (else potential noise enhancement). Instead of matrix inversion (=zero forcing), better methods are possible (ML, MMSE, . . . ).
A simple example is as follows:
The superimposed QAM structure then is:
Then, QAMωΔ uses I: x0+x3 and Q: x1−x2 and QAMωΣ uses I: x0−x3 and Q: x1+x2. This is illustrated in
The presented receiver architectures are linear receivers with suboptimum performance (but reduced complexity). Matrix inversion corresponds to zero forcing (ZF) detection, which would in general increase noise power. A better linear detector would be minimum mean squared error (MMSE), which in addition considers the noise statistics during linear matrix inversion. Optimum detection considers the full observation of the four-dimensional signal {tilde over (r)} after low pass filtering, by performing maximum likelihood (ML) detection (i.e., {tilde over (r)} is compared against all possible transmit permutations and the most likely one is chosen as estimation {tilde over (x)}). Other detectors may be considered as well, such as successive interference cancellation (SIC) or suboptimum ML detectors, such as sphere decoding.
In the following, the frequency constraints, e.g. allowing alias-free representations of the TX and RX signals, are discussed. Further, comments on the choice of the input signals x0 . . . 3 in case of digital modulation are provided. They can be e.g. simple BPSK signals (taking on either value−1 or +1 per component) or any other discrete real-valued signals.
In particular, the following holds for the frequency components (see also
The input quaternion elements xi for digital communication are either generated by four independent PAMs, or by two QAM mappings, or by a four-dimensional QAM (or 3D+PAM). Further, the ML demapper should include P/T/Q matrix.
If linear detection is used at the Quat-AM receiver 230 shown in
In the embodiments shown in
To summarize the modulations for AM QAM and Quat-AM can mathematically be formulated as follows:
AM: a0(t)·cos ω0t
QAM: a0(t)·cos ω0t−a1(t)·sin ω0t
Quat-AM: a0(t)·cos ω0t·cos ω1t+a1(t)·cos ω0t·sin ω1t+a2(t)·sin ω0t·cos ω1t+a3(t)·sin ω0t·sin ω1t=b0(t)−cos ωΔ t−b1(t)·sin ωΔ t+b2(t)·cos ωΣ t−b3(t)·sin ωΣ t
In the Quat-AM transmitter 140 the output signal y0 . . . 3 of the precoder 131 are multiplied by cosine and (negative) sine waveforms with frequencies ωΔ and ωΣ, by multipliers 141. As introduced above in the description of
Quat-AM may alternatively be interpreted as using four orthogonal waveforms, consisting of mixed carriers (four cosine and sine product combinations at frequencies f0 and f1). A corresponding embodiment of a Quat-AM transmitter 150 (i.e. of an embodiment of a first communication device 100 according to the present disclosure), also designated with TX01,g, is shown in
In the Quat-AM transmitter 150 shown in
In the Quat-AM receiver 250 shown in
In the embodiments shown in
The waveform signals are
with bv(μ) being vth bit of bin2dec(μ), e.g., b0(0)=0, b1(0)=0, b0(1)=0, b1(1)=1, b0(2)=1 b1(2)=0, . . .
In more detail:
g
0(t)=cos(ω0t)·cos(ω1t)
g
1(t)=·cos(ω0t)·sin(ω1t)
g
2(t)=−sin(ω0t)·cos(ω1t)
g
3(t)=sin(ω0t)·sin(ω1t)
If α=(0 1 0)T;β=(1 0 0)T→γ=(0 0 1)T, then T=I4, i.e., the identity matrix, which means that no precoding is needed.
Generally, the multiplication w=Tx means that the four components of w are derived from input x via matrix multiplication.
The Quat-AM receivers 260, 265, 270 shown in
The Quat-AM receiver 265 multiplies the received signal (multiplied by 4) with the kernel contributions D0 . . . 3 by multipliers 266, before the results are subjected to LPF filtering and inversion using the inverse matrix Q−1 by the matrix inverter 217.
The Quat-AM receiver 270 shows a relation to the four orthogonal waveforms” receiver 250 shown in
In the embodiments shown in
So far, the input signals x0 . . . 3 have been assumed to be in general analog signals with bandwidth ωc. They are then subjected to precoding by a precoder 131 or 151 as shown in
According to the present disclosure frequency diversity can be exploited by the novel modulation, in particular the novel Quat-AM modulation, since four independent signals are spread over two bands. Further, depending on the choice of the modulating quaternions α and β, new four-dimensional constellations can be formed. Analyzing the superimposed QAM structure, e.g., shows that the resulting constellations can form two-dimensional non-uniform constellations (NUCs), one NUC per QAM. For particular settings, even probabilistic amplitude shaping (PAS) can result from the Quat-AM structure. α=i and β=j may be chosen, resulting in a mutated QAM for the upper QAM branch (operating at ωΔ), in which points occur with different probabilities. Even though ambiguities arise, they are resolved with the second QAM. In simulations over fading channels, diversity gains up to 8 . . . 9 dB have already been demonstrated.
Thus, the foregoing discussion discloses and describes merely exemplary embodiments of the present disclosure. As will be understood by those skilled in the art, the present disclosure may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. Accordingly, the disclosure of the present disclosure is intended to be illustrative, but not limiting of the scope of the disclosure, as well as other claims. The disclosure, including any readily discernible variants of the teachings herein, defines, in part, the scope of the foregoing claim terminology such that no inventive subject matter is dedicated to the public.
In the claims, the word “comprising” does not exclude other elements or steps, and the indefinite article “a” or “an” does not exclude a plurality. A single element or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
In so far as embodiments of the disclosure have been described as being implemented, at least in part, by software-controlled data processing apparatus, it will be appreciated that a non-transitory machine-readable medium carrying such software, such as an optical disk, a magnetic disk, semiconductor memory or the like, is also considered to represent an embodiment of the present disclosure. Further, such a software may also be distributed in other forms, such as via the Internet or other wired or wireless telecommunication systems.
The elements of the disclosed devices, apparatus and systems may be implemented by corresponding hardware and/or software elements, for instance appropriated circuits or circuitry. A circuit is a structural assemblage of electronic components including conventional circuit elements, integrated circuits including application specific integrated circuits, standard integrated circuits, application specific standard products, and field programmable gate arrays. Further, a circuit includes central processing units, graphics processing units, and microprocessors which are programmed or configured according to software code. A circuit does not include pure software, although a circuit includes the above-described hardware executing software. A circuit or circuitry may be implemented by a single device or unit or multiple devices or units, or chipset(s), or processor(s).
It follows a list of further embodiments of the disclosed subject matter:
1. Communication device comprising circuitry configured to
2. Communication device as defined in embodiment 1, wherein the circuitry is configured to combine the four real-valued signal components of the input signal into an input quaternion as transformed signal.
3. Communication device as defined in embodiment 2, wherein the circuitry is configured to interpret one of the four real-valued signal components as the real part of a quaternion-based transformed signal and to interpret the remaining three of the four real-valued signal components as the pure quaternion part of said quaternion-based transformed signal.
4. Communication device as defined in embodiment 2 or 3, wherein the circuitry is configured to multiply the transformed signal by a first quaternion phasor, as first carrier signal, using a first carrier frequency and to multiply the result of the first multiplication by a second quaternion phasor, as second carrier signal, using a second carrier frequency.
5. Communication device as defined in embodiment 4, wherein the circuitry is configured to multiply the transformed signal from one side by the first quaternion phasor and to multiply the result of the first multiplication from the other side by the second quaternion phasor.
6. Communication device as defined in embodiment 4 or 5, wherein the circuitry is configured to take a projection of the result of the second multiplication to any one of the four dimensions as transmit signal.
7. Communication device as defined in any one of the preceding embodiments, wherein the circuitry is configured to
8. Communication device as defined in embodiment 7, wherein the circuitry is configured to use as four-dimensional precoding matrix the matrix
and wherein α and β are quaternions from first and second quaternion phasors, respectively.
9. Communication device as defined in embodiment 8, wherein α and β are not parallel.
10. Communication device as defined in any one of the preceding embodiments, wherein the circuitry is configured to
11. Communication device as defined in embodiment 10, wherein the four waveform signals used for multiplying each of the four signal values of the four-dimensional precoded signal are four combinations of products of cosine and sine carriers at the two carrier frequencies.
12. Communication device as defined in embodiment 10, wherein the circuitry is configured to use as four-dimensional precoding matrix the matrix
and wherein α and β are quaternions from first and second quaternion phasors, respectively.
13. Communication device as defined in embodiment 10, wherein the circuitry is configured to use as carrier signals products of cosine and sine carriers at the two carrier frequencies.
14. Communication device as defined in any one of the preceding embodiments, wherein the two different carrier frequencies are larger than a cutoff frequency of each of the four real-valued signal components of the input signal.
15. Communication device as defined in any one of the preceding embodiments, wherein the absolute value of the difference of the two different carrier frequencies is larger than the cutoff frequency each of the four real-valued signal components of the input signal.
16. Communication device as defined in any one of the preceding embodiments, wherein the difference of the two different carrier frequencies is zero.
17. Communication device as defined in any one of the preceding embodiments, wherein the circuitry is configured to apply a quaternary modulation of four input signals to generate a real-valued output signal based on a transformation, which is fully defined by two three-dimensional vectors α=(α1α2α3)T and β=(β1β2β3)T.
18. Communication device as defined in any one of the preceding embodiments, wherein the circuitry is configured to perform the modulation by quaternion-based multiplications by treating the input signal as input quaternion, multiplying said input quaternion from left-side with quaternion eαω
19. Communication device as defined in any one of the preceding embodiments, wherein the circuitry is configured to perform the modulation by linear transformation of four input signals with a P matrix,
wherein said P matrix is defined as
and
wherein the result of the transformation is processed by two QAM modulation schemes with carrier frequencies ωΣ=ω0+ω1 and ωΔ=ω0−ω1.
20. Communication device comprising circuitry configured to
21. Communication device as defined in embodiment 20, wherein the circuitry is configured to decompose an output quaternion as retransformed signal into the four real-valued signal components of the output signal.
22. Communication device as defined in embodiment 21, wherein the circuitry is configured to interpret one of the four real-valued signal components as the real part of a quaternion-based retransformed signal and to interpret the remaining three of the four real-valued signal components as the pure quaternion part of said quaternion-based retransformed signal.
23. Communication device as defined in embodiment 21 or 22, wherein the circuitry is configured to multiply the transmit signal by a first quaternion phasor, as first carrier signal, using a first carrier frequency and to multiply the result of the first multiplication by a second quaternion phasor, as second carrier signal, using a second carrier frequency.
24. Communication device as defined in embodiment 23, wherein the circuitry is configured to multiply the transmit signal from one side by the first quaternion phasor and to multiply the result of the first multiplication from the other side by the second quaternion phasor.
25. Communication device as defined in any one of embodiments 20 to 24, wherein the circuitry is configured to
26. Communication device as defined in embodiment 25, wherein the circuitry is configured to use as four-dimensional precoding matrix the matrix
and wherein α and β are quaternions from first and second quaternion phasors, respectively.
26. Communication device as defined in embodiment 25, wherein α and β are not parallel.
27. Communication device as defined in any one of the embodiments 20 to 26, wherein the circuitry is configured to
28. Communication device as defined in embodiment 27, wherein the four waveform signals are four combinations of products of cosine and sine carriers at the two carrier frequencies.
29. Communication device as defined in embodiment 27 or 28, wherein the circuitry is configured to use as four-dimensional precoding matrix the matrix
and wherein α and β are quaternions from first and second quaternion phasors, respectively.
30. Communication device as defined in embodiment 27, 28 or 29, wherein the circuitry is configured to use as carrier signals products of cosine and sine carriers at the two carrier frequencies.
31. Communication device as defined in any one of the preceding embodiments 20 to 30,
wherein the two different carrier frequencies are larger than a cutoff frequency of each of the four real-valued signal components of the input signal.
32. Communication device as defined in any one of the embodiments 20 to 31, wherein the absolute value of the difference of the two different carrier frequencies is larger than the cutoff frequency each of the four real-valued signal components of the input signal.
33. Communication device as defined in any one of the preceding embodiments 20 to 32,
wherein the difference of the two different carrier frequencies is zero.
34. Communication device as defined in embodiment 26, wherein the result of the demodulation is processed by two QAM modulation schemes with carrier frequencies ωΣ=ω0+ω1 and ωΔ=ω0−ω1.
35. Communication method comprising:
36. Communication method comprising:
37. A non-transitory computer-readable recording medium that stores therein a computer program product, which, when executed by a processor, causes the method according to embodiment 35 or 36 to be performed.
38. A computer program comprising program code means for causing a computer to perform the steps of said method according to embodiment 35 or 36 when said computer program is carried out on a computer.
Number | Date | Country | Kind |
---|---|---|---|
20165246.8 | Mar 2020 | WO | international |
Filing Document | Filing Date | Country | Kind |
---|---|---|---|
PCT/EP2021/054127 | 2/19/2021 | WO |