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Polarization division multiple access with polarization modulation for LOS wireless communications
EURASIP Journal on Wireless Communications and Networking volume 2011, Article number: 77 (2011)
Abstract
In this paper, we discuss a potential multiple access and modulation scheme based on polarized states (PS) of electromagnetic (EM) waves for lineofsight (LOS) communications. The proposed scheme is theoretic different from the existing polar modulation for EDGE and WCDMA systems. We propose the detailed bit representation (modulation) and multiple access scheme using PS. Because of the inflexibility of polarization information in the time and frequency domains, as well as independence of frequency and space, the polarization information can be used independently for wireless communications, i.e., another independent resource domain that can be utilized. Due to the independence between the PS and the specific features of signals (such as waveform, bandwidth and data rate), the discussed polarization division multiple access (PDMA) and polarization modulation (PM) are expected to improve the spectrum utilization effectively. It is proved that the polarization filtering technique can be adopted in the PDMAPM wireless communications to separate the multiuser signals and demodulate the bit information representing by PS for desired user. Some theoretical analysis is done to demonstrate the feasibility of the proposed scheme, and the simulation results are made to evaluate the performance of the suggested system.
1. Introduction
Multiple access technique which is oriented from the pioneering contributions of Shannon and Abramson [1–3], is a key feature for modern wireless communications and its networking design. With the exponentially growing demand of users, such as in cellular system, to implement the target of "anybody can communicate with anyone at anywhere via any communication scheme", the researchers are focusing on the multiple access technique design, wherein, frequency division multiple access (FDMA) used in the first wireless systems, time division multiple access (TDMA) used in the second wireless systems [4], code division multiple access (CDMA) used in the second and third wireless systems [5], orthogonal frequency division multiple access (OFDMA) used in the LTE, WiMAX, and the fourth wireless systems [6], and the interleave division multiple access (IDMA) which is a promising method for the next generation wireless systems [7] are proposed and implemented in practical military and civil systems. They use frequency, time, code, and interleaver as resources for multiuser allocation.
As known to all, any electromagnetic (EM) waves radiated by certain antenna with some polarization mode hold polarization characteristics, and any polarized state (PS) can be represented by two orthogonal components, thereby we know the orthogonally dualpolarized antenna (ODPA). Polarization information denotes the relationship of amplitude and phase difference between the two orthogonal components radiated by the ODPA, such as the vertical polarization and the horizontal polarization components or +45° linear polarization and 45° linear polarization components. Successful application of polarization in the optical communications shows its special merits [8–11], while optical communications are different from wireless communications due to the transmitting medium and channel. For wireless communications, channel is the key role to the system design. Therefore, the system design methodology of wireless communications is different from that of optical communications when taking polarization into consideration.
Polarization of EM waves holds the unique feature that it is invariant in the time and frequency domains, as well as it is independent of frequency and space domains. While polarization does not attract much attention in wireless communications until some new findings, such as sixpolarization, polarization filtering (PF) and polarization diversity, have been researched and applied [12–23]. Considering the applications of PF in radar and wireless communications for example [17–23], the usage of polarization extends the available resource domains when dealing with interference suppressions and signal separations problems.
Commonly used resources are time, frequency, space and code domains, and the corresponding applications are TDMA, FDMA, space division multiple access (SDMA), CDMA, OFDMA, and IDMA. Recently, some designs based on polarization are researched and developed [24–31], such as polar modulation in the enhance data rates for global evolution (EDGE) system focusing on overcoming the problems of high power consumption, low efficiency, excessive heat and short battery life due to the requirement of linear power amplifier when adopting \frac{3\pi}{8}8PSK modulation technique. In the exiting polar modulation introduced into EDGE, the orthogonal output from I/Q channels is transformed into the polarization format, i.e., one is the amplitude component and the other is the phase component before being sent to the transmitter, as shown in Figure 1. This makes the radio frequency circuit (in saturation mode) and the power amplifier can modulate the linear but nonconstantenvelope signal which has the advantages of small electric current and high utilization efficiency. Another aspect of the use of polar modulation is that future wireless communications requires multimode radio transceivers, i.e., flexible capability with low power consumption. In [31], the authors discussed the multimode capability and low power consumption of polar modulation based systems by a prototype design of a GSM, EDGE, and WCDMA polar transmitter. The efficiency of the polar transmitter is shown as a key enabler of future systems using OFDM scheme with high peakaveragepower ratio (PAPR) signals.
In this paper, we take a new angle of view at the application of polarization for wireless communications. We propose a novel multiple access and modulation scheme [polarization division multiple access (PDMA) and polarization modulation (PM)] using polarization which is theoretically different from the abovementioned polar modulation for short range wireless communications, and the application scenario is assumed as a lineofsight (LOS) wireless communications. If transmitter and receiver are in nonLOS, then the PS changes after reflecting, diffracting, and scattering by objects, and the phenomenon analysis is considerably complicated due to the dielectric parameter of the reflector. For the analysis of dielectric parameter, it is out of scope of this work. Hence, we analyze the application of the proposed PDMAPM in LOS scenario.
The proposed scheme holds no relationship with the parameters of the signals, because the polarization is independent of the waveform. The bit information is carried by a pair of orthogonal PS of EM waves in the binary modulation, while bits of quaternary modulation is implemented by a set of orthogonal polarization and crosspolarization, and other highorder modulation schemes can be extended in a straightforward way. Different users can be distinguished through making use of different PS. Furthermore, we can also combine the proposed PDMA with the FDMA, i.e., PDMAFDMA, or to overcome the problem of high PAPR in OFDMA systems, we can also utilize PDMAOFDMA. It is proved that the desired signal can be achieved and demodulated by taking advantage of PF technique. From another point of view, it can be used independently besides the time, frequency, space and code domains. Furthermore, high spectrum utilization efficiency is expected to be obtained. Some theoretical deduction and analysis are done to demonstrate the feasibility of the suggested method, and the simulation results are made to show the effectiveness of the proposed scheme.
To the best of our knowledge, this is the first work that applies PS to wireless communications for modulation and multiple access design. The existing application of PS is in the field of optical communications, and Polar modulation is used to solve problems of high power consumption, low efficiency, excessive heat and short batter life due to the requirement of linear power amplifier for 8PSK modulation in EDGE system, therefore, the modulation scheme is still the conventional 8PSK.
The main contribution of this work is threefold. (1) This is the first work that uses PS as the modulation scheme for wireless communications, and we demonstrate binary modulation and quaternary modulation by using orthogonal polarization and cross polarization. (2) We first use the PS as the multiple access scheme to support multi user wireless communication in LOS environment. (3) We establish the system by using only PS information, i.e., from transmitter to receiver and its signal processing.
The remainder of this paper is organized as follows. System model and fundamental principles are introduced in Section 2. The detailed analysis is demonstrated in Section 3. Finally, concluding remarks are drawn in Section 4.
2. System model and fundamental principles
2.1. Representation of polarization
Since the key concept of the PDMAPM is based on the use of PS, we are revisiting the polarization in EM waves in this subsection. When representing a completely polarized EM wave in a righthanded xyz Cartesian coordinate system with the z coordinate representing the direction of propagation and the xy coordinates be orthogonal basis defined by a pair of horizontally (H) and vertically (V) polarized unit vectors, the signal by ignoring the absolute phase can be described as the following equation [19]
where ε is the amplitude relationship (or polarized angle) between the two components of the signal, δ represents the difference of them in phase (or phase difference in polarized angle), in addition, ω is the center frequencies of the signal, and E denotes the envelope.
The PS is determined by the amplitude and phase relationship between the two components received by the ODPA. Then the two parameters can be derived as
where arg{x} indicates the argument of vector x. After being radiated by the ODPA, the EM wave may produce the socalled crosspolarization (XP) component whose polarization is orthogonal to the original transmitting polarization, and this is the effect of depolarization [22]. The degree of depolarization is described by crosspolarization discrimination (XPD) which indicates the ratio of the original transmitted polarization component power and crosspolarization component power at the same location point. Depolarization effect can be eliminated by introducing depolarization compensation technology [32]. There are also many methods for estimation of PS (see, for example, [33, 34]). We assume that the polarized state is already known at the receiver in this paper. Since we are considering the scenario of LOS, then the PS is not changed at a high probability. The phenomenon of PS changes due to the reflecting, scattering, and diffracting by objects is outside of scope in this paper. Therefore, we only consider its application in LOS environment.
Polarized angle and phase difference in polarized angle determine the polarized state of the signal as follows: (1) If δ = 0, π, the polarization is linear. (2) \delta =\frac{\pi}{2},\epsilon =\frac{\pi}{4} indicates the righthanded circular polarization, and \delta =\frac{\pi}{2},\epsilon =\frac{\pi}{4} shows the lefthanded circular polarization. (3) If δ ∈ (0, 90°) and ε ∈ (0, 90°), then the polarization is lefthanded elliptic. When δ ∈ (90°, 0) and ε ∈ (0, 90°), the polarization is righthanded elliptic.
We can also denote the PS on the Poincare spherical surface as shown in Figure 2, where the north pole (green point) is the lefthanded circular polarization, and the south pole (blue point) represents the righthanded circular polarization, then the equator (red circle) indicates the linear polarization. The surface of the northern semisphere (gray color but excluding the north pole and equator) denotes the lefthanded elliptic polarization, while the surface of the southern semisphere (yellow color but excluding the south pole and equator) denotes the righthanded elliptic polarization. It establishes the onetoone mapping between the polarized state and each point on the Poincarespherical surface, and there are infinite PSs intuitively.
In Figure 3, the orthogonal polarization and the cross polarization are illustrated. Two points on the surface of the sphere are potential orthogonal polarization representations if the line joining them passes through the center of the sphere, for example the pairs (P1, P2), (Q1, Q2), (M1, M2), and (L, R), as shown in Figure 3. Contrarily the two points on the surface of the sphere are cross polarization representations if they are symmetrical about the surface of equator, such as pairs (P1, Q1), (P2, Q2) and (L, R). It can be found that the orthogonal polarization and the cross polarization are the same for circular polarization.
2.2. Binary modulation
As depicted in Figures 2 and 3, bit information can be carried by the PS, and the PS is determined by the amplitude and phase of the two components radiated by ODPA. Hence, each user can use certain PS when it wants to transmit information to the receiver. For example, circular polarization is allocated to some user, if the polarization is a lefthanded circular one, then bit 1 is transmitted, and the righthanded circular polarization carries bit 0. This binary modulation scheme can be extended by exploiting different polarizations. We can also use the vertical polarization and the horizontal polarization or +45° linear polarization and 45° linear polarization to carry binary information. We can see that the transmitter complexity is simple.
Figure 4 shows a circle with the center of the sphere as its center, since the orthogonal polarization and cross polarization are on the same circle. For simplicity, circular polarization representations are on this circle. Then we can allocate different polarizations for different users. Taking User4 in Figure 2 for example, linear polarization is allocated to User4, and the bit information can be carried by the two orthogonal linear PS (yellow pints) as shown in the figure. Other users can also use the linear polarization by properly adjusting the polarized angles. It can be found that it is an orthogonal modulation scheme for binary modulation in PDMAPM systems since the PSs for bits 1 and 0 are orthogonal, while different users hold nonorthogonal polarizations with each other.
2.3. Quaternary modulation
Binary modulation can be easily extended to quaternary modulation by introducing crosspolarization. Figure 5 illustrates the constellation of the quaternary modulation. For User1, four blue points represent bits 00, 01, 11, 10, respectively, and the polarization for 00 and 11 is a pair of orthogonal polarization, the same for 01 and 10. The polarization for 00 and 10 is a pair of crosspolarization, the same for 01 and 11. Different users can be separated by rotating the rectangle with different angles.
Other highorder modulation schemes can be extended in a straightforward way. It is easy to find that we can also combine the PDMA with conventional FDMA and OFDMA, for example, some users share the same frequency band and other users share another frequency band. The multiple access technique of PDMAFDMA is easy to implement.
Since the polarization is nothing with the specific waveform, bandwidth, rate, then the proposed PDMAPM scheme is not strict with the waveform design, bandwidth limitation and other restrictions. Hence, it is expected to improve the spectrum efficiency, while the perfect implementation relies on the precise polarization measurement.
3. Detailed analysis
In this section, some detailed analysis and mathematical deduction are done to demonstrate the PDMAPM. Here, we take the binary modulation as an example, and analyze its multiuser separation, demodulation and BER performance. Especially, we assume that all of the polarization states allocated to different users are available at the receiver.
Figure 6 depicts the simple block diagram of the transmitter. Consider there are N users in the system, the transmitting signal for the n th user is derived as
where P_{ in } (i = 0, 1, n = 1, 2, ..., N) shows the PS representing bit 1 or bit 0 for the n th user, and P_{ in } = [cos ε_{ in } , sin ε_{ in } exp(j δ_{ in } )]^{T}, where cos ε_{0n}+ cos ε_{1n}= π/ 2, δ_{0n}δ_{1n}= ± π . This is the sufficient and necessary condition for a pair of orthogonal polarization. g(t) is the transmitting waveform for all the users. Then the received signal r(t) is the sum of N users, i.e., r\left(t\right)={\sum}_{n=1}^{N}{s}_{n}\left(t\right)+n\left(t\right),\phantom{\rule{2.77695pt}{0ex}}n\left(t\right) is the additive white gaussian noise (AWGN) with zero mean and the variance of σ^{2}.
Figure 7 shows the block diagram of the receiver, where NPE is the estimation of the noise power, E_{0} and E_{1} are the oblique projection operators constructed by the polarization states of 0 and 1, respectively, to cancel the interference [20–23]. H_{0} and H_{1} are the operators of polarization filtering. D denotes the decision process, here decision is the comparison of the output value between the two branches. Detailed introduction is as follows.
3.1. Multiuser separation in PDMAPM
Since there are N signals embedded in the received signal, in order to suppress the unwanted N  1 signals, PF is adopted here. The received signal can be rearranged in the matrix form
where P_{0n}, P_{1n}is a pair of orthogonal polarization.
Suppose the first user is the desired signal. In order to suppress other N  1 signals, PF can be used. The authors proposed oblique projection PF (OPPF) technique in [20–23], we just briefly introduce the OPPF here.
For simplicity, consider there are two users (N = 2). We can construct a filter with the operator written as
where U and S are the polarization states of the desired signal and interference, respectively. P_{ S }^{⊥} is the orthogonal projection operator onto the complementary of S. Suppose the first and the second users are operating at the same time, then the elements of E are
respectively.
It is easy to prove that
since E P_{i 1}= P_{i 1}and E P_{i 2}= 0. This shows the interference can be suppressed totally by OPPF.
It is easy to find that if both the two user's PSs are available, then the OPPF can perfectly separate them. While if there is uncertainty with the other user's PS, i.e., there is estimation error in the PS of the other user, then the OPPF cannot separate them totally. In order to deeply understand the performance of the OPPF, we give the SIR analysis here.
The signaltointerference (SIR) ratio of the received signal SIR_{i 1}is
Since there is estimation error on polarized angle of interference, the OPPF operator is not an accurate one. Suppose the parameters in formulae (811) are A_{1}, B_{1}, C_{1} and D_{1}, the SIR after OPPF is
The gain of SIR is
The formula listed above shows that the gain of SIR ratio has relationship with the difference between polarized angles of the target signal and interference i.e., ε_{i 1} ε_{i 2}, and the error deviation on polarized angle of interference, i.e., Δε_{i 2}. The larger the ε_{i 1} ε_{i 2}is, the larger the ΔSIR can be obtained. In order to get good ΔSIR performance, the moderately large difference between the polarized angles of the target signal and interference should be designed.
If the polarization of interference is not available at the receiver, another form of OPPF can be written as
Where
and
As shown, if the noise power is known exactly, then the OPPF can also separate the two users' signals. Here, we give the SIR analysis if the noise variance is not exactly estimated. The similar analysis of SIR enhancement can be obtained as
Therefore, E_{0} is the oblique projection operator (OOP) which can remain the component of the polarization representing 0 while suppressing the interference due to the property of the OOP, and E_{1} can remain the component of the polarization representing 1 while suppressing the interference. As shown in Figure 5, the input signal (received signal) passes through both E_{0} and E_{1}, then the interference is canceled. This is the multiuser separation process. E_{0} and E_{1} for the first user can be designed
as
as
3.2. Demodulation in PDMAPM
After the separation process, the interference is suppressed, and the next step is to demodulate the bit information. Suppose bit 1 is transmitted, i.e., P_{11}. It is easy to obtain
This shows that the polarization of the desired bit is invariable after E_{1}, while E_{0} is constructed by the polarization representing 0, then after E_{0}, the output is another vector even if P_{i 2}is suppressed, since
H_{0} and H_{1} are the operators of PF, and they meet the conditions
where · denotes the dot product. These conditions show H_{0} is the orthogonal complementary of the polarization representing bit 0, and the same for H_{1}.
If bit 1 is transmitted, then after E_{1} and H_{1}, the output value will be zero since P_{11} is invariable after E_{1}, and it is suppressed after H_{1} due to the property. While the output after E_{0} and H_{0} is not zero since H_{0} is not orthogonal to the output vector after E_{0} when bit 1 is transmitted. Figure 8 shows the output value after E_{0} and H_{0} when bit 1 is transmitted, the absolute value is large than 0. If the transmitting energy is large, i.e., the signaltonoise ratio (SNR) is high, then the absolute value is far away from 0 if they are not orthogonal.
Hence, we can select the minimum output value as the desired bit, i.e., when the output after E_{1} and H_{1} is the minimum value, then we can decide that 1 is transmitted, the same analysis for bit 0.
3.3. Impact of noise
For AWGN, its polarization is called nonpolarized which means it holds all of PS, i.e., covers the whole PoincareSphere surface. In the analysis of demodulation, we use OPPF to separate multi user signals and extract bit information. From the signal processing point of view, the OPPF is a kind of notch filter that can set one or several notches for some PS, then those PS are nulled by these notches. From this sense, the noise component which holds these PS are suppressed at the same time which shows that this method is capable of denoising. But the answer is no, since according to the oblique projection theory [35], AWGN can be even amplified after oblique projection which can be demonstrated in Figure 9.
In this figure, subspace H is the desired subspace and S is the interfering subspace that need to null. Suppose they are not orthogonal then oblique projection can be used to cancel any components in S while keeping everything in H. Since AWGN lies in every subspace (it is full rank and rank is infinity), the component of AWGN in subspace S is suppressed while some other components lie in other subspaces and will be amplified after oblique projection as shown in Figure 9. We can determine its lower bound and upper bound by calculating the principal angles of the subspaces [35]. When subspaces H and S are orthogonal, then AWGN is not amplified since it is an orthogonal projection, and this is the lower bound. If the angle between H and S is zero which means they are the same subspace, then everything is nulled but noise, and this is the upper bound.
From the above analysis, if the principal angles of polarization subspace for multiple users are small, then the impact of noise will be significant. Even though we can set infinite PS for multi users, but from the noise impact point of view, this will lead to performance deterioration since the principal angles of large number of users are small.
3.4. BER performance of PDMAPM
When bit 1 is transmitted, the error decision is made when the output of the first branch y_{ a } is smaller than the second branch y_{ b } , i.e., the output after H_{0} is smaller than that of H_{1}, then the probability of error is
where m = y_{ a }  y_{ b } , and E_{ b } is the energy of one bit. The coefficient of \left\right{H}_{0}^{T}{H}_{0}\left\right is due to the rule of oblique projection amplifying the noise which has been analyzed in the above section.
Simulation results of 5 users, 10 users 30 users and 60 users in binary modulation system are done, as shown in Figure 10. From the simulation results, we can see that the BER performance of large number of users (30 and 60) is much worse than few users (5 and 10). This is due to when there are a lot of users, the principal angles will be very small which can result in noise being largely amplified after oblique projection (demodulation).
3.5. Relationship with classic signal processing
From the signal processing point of view, to solve the problems of detection and estimation, the minimum variance unbiased (MVU) estimation, least squares (LS) estimation, and minimum mean square error (MMSE) estimation are the most important criterions to evaluate the performance of the estimator. For the optimal detection techniques, the classic representatives are matched filter (MF) and maximum likelihood (ML) estimation or maximum a posterior probability (MAP) which is equivalent with ML when different bit has equal probability. For AWGN channel, these techniques are optimal techniques, based on different assumptions and detailed algorithms under different application scenarios.
In the classical work on oblique projection [35] and our previous publications [20, 21], Behrens and Scharf and we have indicated that the OPP and our proposed OPPF scheme are both MVU estimation. When interference dominates noise, OPP will converge to LS. Due to the noise amplified phenomenon, the noise variance is different after oblique projection. For the signal detection, Behrens and Scharf showed that OPP is a generalized likelihood ratio (GLR) detector which is a generalized result on invariant detectors. From above analysis, the proposed OPPF is not a new thing, and it is still in line with the classical signal processing. For CramerRao lower bound analysis, there are no obvious differences between those techniques. Moreover this is not our contribution, since Behrens and Scharf have already proved this in their pioneering work. The only difference is the noise amplification.
3.6. Comparison with classic modulation schemes
For phaseshiftkeying (PSK), frequencyshiftkeying (FSK), and amplitudeshiftkeying (ASK) based modulation schemes, the common methodology is to use phase, frequency, and amplitude difference or their relationship to carry bit information. The combination of PSK and ASK can form quadrature amplitude modulation (QAM). These bit carriers are all from the characteristics or parameters of waveform, and they are highly determined by the signal waveform. Hence the waveform design is critical for these modulation schemes. For the proposed PM, the basic methodology is PS of EM waves, and it is independent of signal's parameters. Moreover, the transmitter and receiver design is quite different from them; for the classic PSK, ASK, FSK, and QAM schemes, it can be a baseband transmission, while for our proposed PM scheme, it must be an RF system, and the modulation process of PM scheme is easier than those schemes, since power splitter and phase shifter are enough for implementing bit modulation, as shown in Figure 6. The demodulation process for the proposed scheme is still an open issue, and we believe that the proposed OPPF for demodulation is not the only scheme. There must be other better schemes for PS based demodulation.
For performance analysis, since the proposed scheme is based on oblique projection which is sensitive to additive noise and highly dependent with the number of users which can be shown in Figures 9 and 10, the antinoise performance is worse than those schemes. From this sense, the capacity of the network is limited.
4. Conclusion and future work
Recently, some schemes based on polarization information are researched and developed, such as polar modulation in EDGE system, which shows the merits of polarization. In order to extend the currently available resource domains in wireless communications, especially for LOS scenario, a potential multiple access and modulation technique based on polarization information of EM wave is discussed in this paper. The special merits of polarization of EM wave are also helpful for joint processing in multidomain. Since the polarization is independent of the waveform, bandwidth and data rate, the discussed PDMA and PM are expected to improve the spectrum efficiency. It is proved that the PF can be used in PDMAPM wireless communications to separate the multiuser signals and demodulate the signal bearing with data information. Some theoretical deduction and analysis are done to demonstrate the potential feasibility of the proposed scheme. Simulation results are also made to evaluate the performance of the suggested system. The proposed method is a promising scheme with the deeper development of polarization measurement technique. In our future work, we will deeply analyze the application of PDMAPM in LOS scenario and under different channel conditions. Then compare the proposed scheme with stateoftheart methodologies. Furthermore, the depolarization effect in NLOS scenario should be fully understood and analyzed. We also believe that the OPPFbased scheme is not the only demodulation scheme for PDMAPM, and there must be other better schemes which it is still an open issue.
Abbreviations
 CDMA:

code division multiple access
 EDGE:

enhance data rates for global evolution
 EM:

electromagnetic
 FDMA:

frequency division multiple access
 IDMA:

interleave division multiple access
 LOS:

lineofsight
 ODPA:

orthogonally dualpolarized antenna
 OFDMA:

orthogonal frequency division multiple access
 PAPR:

peakaveragepower ratio
 PDMA:

polarization division multiple access
 PF:

polarization filtering
 PM:

polarization modulation
 PS:

polarized states
 SDMA:

space division multiple access
 TDMA:

time division multiple access
 XP:

crosspolarization
 XPD:

crosspolarization discrimination.
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Acknowledgements
This work was supported by the National Basic Research Program of China under Grant 2007CB310606. The first author is a visiting scholar in the University of Waterloo under support from the Chinese Scholarship Council from September 2010 to September 2012. Special thank also goes to Dr. Hao Liang for his suggestions on our work.
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Cao, B., Zhang, QY. & Jin, L. Polarization division multiple access with polarization modulation for LOS wireless communications. J Wireless Com Network 2011, 77 (2011). https://doi.org/10.1186/16871499201177
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DOI: https://doi.org/10.1186/16871499201177
Keywords
 polarized states
 polarization division multiple access
 polarization modulation
 polarization filtering