Research Article  Open Access
Huu Trung Nguyen, Trung Tan Le, Trung Hien Nguyen, "Capacity Improvement for DVBNGH with DualPolarized MIMO Spatial Multiplexing and Hybrid Beamforming", International Journal of Digital Multimedia Broadcasting, vol. 2020, Article ID 9578521, 11 pages, 2020. https://doi.org/10.1155/2020/9578521
Capacity Improvement for DVBNGH with DualPolarized MIMO Spatial Multiplexing and Hybrid Beamforming
Abstract
Multipleinput multipleoutput (MIMO) antenna scheme is an effective technique for future terrestrial broadcasting systems such as digital video broadcastingnextgeneration handheld (DVBNGH) to overcome the limits on information theory of traditional singleantenna wireless communications without any additional bandwidth or increased transmit power. In this paper, we propose a hybrid beamforming scheme for dualpolarized MIMO spatial multiplexing DVBNGH broadcasting systems. The system of interest makes use of phase shifters and amplitude attenuators for the digitalanalog precoder at beamforming stage of the transmitter end to maximize the signaltonoise ratio to increase the channel capacity of the DVBNGH systems. At the receiver end, the maximum likelihood (ML) detector is used to evaluate the system performance. We consider the signaltointerferenceandnoise ratio (SINR) and the achievable average capacity for the DVBNGH MIMO with various FFT sizes, number of transmit antennas, and different modulation schemes. The performance results on bit error rate, channel capacity, and beampatterns show that the proposed hybrid beamforming and dualpolarized MIMO spatial multiplexing schemes provide more robustness against signal interference by beamforming and/or nulling techniques. The simulation results also show that the proposed system achieves higher capacity than the existing MIMO schemes for the DVBNGH systems.
1. Introduction
Digital video broadcasting (DVB) is a family of standardized technologies developed for TV broadcasting over terrestrial, cable, satellite, and mobile communication systems [1]. In the last decade, DVB is an area of intensive development and standardization activities such as DVBH (Handheld), Media FLO (Forward Link Only), and DVBSH (Satellite to Handheld) [2–4]. They are developed to support largescale consumption of mass multimedia services such as mobile television (TV). However, mobile TV services did not fulfill the initial expectations due to the lack of a successful business model and the high costs associated to the development of new mobile broadcasting networks. Today, a new generation of mobile broadcasting technologies is emerging due to the continuously increasing requirements and expectations of both users and operators that incorporate the latest advances in wireless communications which provide significant capacity and coverage improvements. To date, the latest emerging member of DVB family standards is DVBNGH (nextgeneration handheld) [5]. It is the mobile evolution of the secondgeneration digital terrestrial TV broadcasting technology based on the physical layer of DVBT2, the most advanced digital terrestrial TV (DTT) technology in the world [6]. Therefore, it can be incorporated in DVBT2 transmissions, allowing the reuse of spectrum and infrastructure of DVBT2, offering more robustness, flexibility, and at least 50% more spectrum efficiency than any other technology [7].
DVBNGH was created with the objectives of increasing the coverage performance area and network capacity not only outperforming the previous existing mobile broadcasting standards DVBH and DVBSH but also optimizing DVBT2 in many aspects [5]. DVBNGH is of significant interest among the wireless operators, since it allows the transmission of IP (Internet Protocol) mass multimedia content to a wide range of mobile devices, from wearable devices such as earphones, mobile phones, and MP3 players to laptops and vehiclemounted receivers at very high data rates [8]. Compared to DVBT2, DVBNGH uses Scalable Video Coding (SVC) technology with Multiple Physical Layer Pipes (MPLPs) for graceful service degradation, TFS (TimeFrequency Slicing) technique that enables multiple frequency channels to be combined into a single wider channel in order to improve the efficiency and robustness of digital television terrestrial (DTT) transmissions [9, 10]. In streaming service data, DVBNGH uses RoHC (Robust Header Compression) method to reduce the overhead due to IP encapsulation, additional satellite component for increased coverage area, improved signaling robustness [5]. DVBNGH allows efficient transmission of local services within enhanced SingleFrequency Network (eSFN) [11]. DVBNGH improves SFN planning flexibility in the 4K mode [12]. Finally, DVBNGH is the first broadcasting system to incorporate multipleinput multipleoutput (MIMO) antenna schemes as the key technology not only to improve the robustness of the transmitted signal by exploiting the spatial diversity of the MIMO channel but also to achieve increased data rates through spatial multiplexing. Recently, reciprocity calibration for massive MIMO has been studied for future terrestrial broadcasting technologies [13]. In this work, Luo et al. proposed a novel and innovative closedloop reciprocity calibration method for massive MIMO systems with a better performance compared to the existing methods. A lab measurement setup is built for BS hardware impairments’ measurement and the implementation.
1.1. Related Works
Nowadays, MIMO is a key technology to increase the capacity and system reliability without any additional wireless bandwidth for terrestrial broadcasting system [14–16]. Dai et al. addressed in [14] the key technologies and research trends for nextgeneration digital television terrestrial broadcasting systems, including the discussion about status, technical challenges, and more importantly the future research trends. In addition, MIMO technology, OFDMbased transmission, modulation, and channel coding were focused as the common technologies to increase the system capacity and improve the transmission reliability. The authors in [15–17] described the benefits of MIMO that motivated its incorporation in DVBNGH. In these works, the structure of MIMO channel precoders for digital terrestrial TV systems and enhanced spatial multiplexing phase hopping (eSMPH) as well as the required elements at the transmitter and receiver terminals to decode the MIMO eSMPH transmission was presented against the unprecoded MIMO scheme. Performance of practical MIMO systems and compared to SISO using DVBNGH physical layer has been assessed for the MIMO scheme with spatial multiplexing to support four transmit antennas; MIMO could provide significant carrier to noise ratio (CNR) reductions [15]. The system capacity in bpc vs. the CNR required to achieve the selected QoS criterion for eSMPH with different deliberated transmitted power over correlated Rice fading channel was clearly provided. Moreover, MIMO rate2 codes allowed to increase data rates through spatial multiplexing. DVBNGH MIMO rate2 schemes were the best option suited for outdoor medium/high signal use cases such as tablet PCs and automotive reception as the generally lower signaltonoise ratios (SNR) of portable/indoor reception substantially reduce the available multiplexing gain that may be exploited [16]. However, in the DVBNGH physical layer architecture perspective, these studies did not consider the MIMO beamforming design on the performance of the MIMO channel precoder.
Traditional MIMObeamforming systems require a dedicated radio frequency (RF) chain for each antenna element, which becomes impractical with massive MIMO systems due to either cost or power consumption. To reduce the number of RF chains, hybrid beamforming (HBF), which combines RF analog and baseband digital beamformers, has been proposed as a promising solution to enhance the network capacity and coverage of nextgeneration mobile wireless communication [18–20]. Sohrabi and Yu presented in [18, 19] the transceiver design for maximizing the spectral efficiency of a largescale MIMO system with hybrid beamforming architecture where the number of RF chains is equal to the number of data streams. The hybrid beamforming structure can achieve the same performance as the fully digital beamforming scheme if the number of RF chains at each end is greater than twice the number of data streams. The design could achieve a rate close to that of optimal exhaustive search and use the extra RF chains to significantly improve the system performance in the case of lowresolution phase shifters (PSs).
Moreover, millimeter wave (mmWave) cellular systems will enable gigabitpersecond data rates thanks to the large bandwidth available at mmWave frequencies. Due to the high cost and power consumption of gigasample mixedsignal devices, mmWave precoding will likely be divided among the analog and digital domains. The large number of antennas and the presence of analog beamforming require the development of mmWavespecific channel estimation and precoding algorithms [20–24]. A hybrid analog/digital precoding algorithm that overcomes the hardware constrains on the analogonly beamforming, approaching the performance of digital solutions, was proposed in [20]. In [21], the problem of mmWave precoder design as a sparsityconstrained signal recovery was formulated using orthogonal matching pursuit. This framework could be applied to the problem of designing practical MMSE combiners for mmWave systems. Most recently, Magueta et al. proposed a hybrid multiuser equalizer for the uplink of broadband mmWave systems with dynamic subarray antennas [22]. The hybrid subconnected architectures were designed for the number of required PSs which was lower than in fully connected architectures with a set of only analog precoded users transmitting to a base station and sharing the same radio resources. At the receiver end, the hybrid multiuser equalizer was designed by minimizing the sum of the mean square error (MSE) of all subcarriers, considering the digital part is iteratively computed as a function of the analog part and the analog equalizer with dynamic antenna mapping that was derived to connect the best set of antennas to each RF chain. This designed hybrid dynamic twostep equalizer achieved the performance close to the fully connected counterpart, although it is less complex in terms of hardware and signal processing requirements. In addition, the same authors in [23] proposed the iterative analogdigital multiuser equalizer by minimizing the sum of the MSE of the data estimates over the subcarriers assuming that the analog part was fixed for all subcarriers while the digital part computed on a per subcarrier basis. The bit error rate (BER) of the hybrid system was derived and compared with other hybrid equalizer schemes, which were recently designed for mmWave MIMO systems. This technique showed that the performance of the developed analogdigital multiuser equalizer was close to the fulldigital counterpart and outperforms the previous hybrid approach. In [24], Hefnawi recently proposed a hybrid beamforming scheme for mmWave heterogeneous networks formed with one macrocell base station (BS) and multiple smallcell BS equipped with largescale antenna arrays that employ hybrid analog and digital beamforming. Digital beamforming weights were optimized to maximize the received signaltointerferenceplusnoise ratio (SINR) of the effective channels. In this study, the beampatterns and the ergodic channel capacity were evaluated with only four RF chains while requiring considerably less computation complexity. To our knowledge, the hybrid beamforming schemes using analogdigital beamforming and dualpolarized MIMO spatial multiplexing for the DVBNGH system have yet to be addressed in the literature.
In this paper, we therefore present a comprehensive study on the performance of the analogdigital beamforming using dualpolarized MIMO spatial multiplexing for the DVBNGH systems. Unlike previous works, the objective of this architecture is to improve capacity as well as the robustness of the received signal. MIMO technique is employed to improve coverage area and increase the channel capacity of the DVBNGH systems. Therefore, the hybrid beamforming scheme that combines with dualpolarized MIMO spatial multiplexing is supposed to meet the expectation for the future broadcasting systems such as DVBNGH.
1.2. Main Contributions
In this paper, we propose a solution on the category of performanceoriented technologies to develop DVBNGH systems which includes OFDMbased transmission, modulation schemes, and channel coding and especially employing the MIMO technology. Therefore, our design options include the following: (i)We design and analyze the performance on bit error rate and ergodic channel capacity of the hybrid beamforming dualpolarized MIMO spatial multiplexing with the eSMPH structure. The proposed architecture interest makes use of phase shifters and amplitude attenuators for the digitalanalog precoder at beamforming stage to maximize the signaltonoise ratio to increase the capacity of the DVBNGH systems(ii)The dualpolarized MIMO analog precoder is designed at both the transmitter and receiver sides. In addition, the maximum likelihood (ML) detector is used at the hybrid receiver to evaluate the system performance purposes. For the case studies, we clearly describe the signaltointerferenceandnoise ratio (SINR) and the corresponding achievable average capacity for the DVBNGH MIMO with various FFT sizes, number of transmit antennas, and different modulation schemes
The remainder of this paper is organized as follows. Section 2 describes the system model description adopted in the work. Section 3 describes a MIMO rate2 case study. In Section 4, we show the main performance results and discussions on bit error rate, ergodic capacity, and beampattern of the proposed scheme. Finally, the conclusions and directions are presented in Section 5.
1.3. Notations
Capital boldface letters denote matrices, and lower boldface letters denote column vectors. The remaining notations in this paper are presented in Table 1.

2. System Model Description
In this section, we describe the hybrid beamforming scheme for improving the performance of dualpolarized MIMO spatial multiplexing DVBNGH broadcasting systems.
The block diagram of the proposed dualpolarized MIMO spatial multiplexing combining with the digitalanalog beamforming for DVBNGH system is illustrated in Figure 1. We consider the system with data streams may be simultaneously transmitted in the same bandwidth using transmitter antennas. The transmitted signal then being separated into respective data streams by way of a set of antennas deployed at the receiver. In the system model, we use partially connected structure for hybrid beamforming, where each RF chain is connected to an array of dualpolarized antennas. Such a structure has a lower hardware complexity compared to fully connected, but beamforming gain is reduced [25].
(a) Transmitter
(b) Receiver
At the transmitter side (Figure 1(a)), the BitInterleaved Coded Modulation (BICM) module is one of the most important modules as it provides the error correction capability for the system. The input to the BICM module consists of one or more logical data streams which are separated from services data stream by a stream partitioner. Each logical data stream is carried by one Physical Layer Pipe (PLP) and associated with a modulation constellation, a forwarderror correcting (FEC) protection mode, and a time interleaving depth [26]. The structure of DVBNGH BICM module consists of serial concatenation of a FEC encoding subsystem which performs outer coding using BoseChaudhuriHocquenghem (BCH) codes, inner coding using a lowdensity paritycheck code (LDPC), bit interleaving (BI), and a constellation mapper (MAP) [27].
2.1. Design of DualPolarized MIMO Digital Precoder
Figure 2 illustrates the dualpolarized MIMO precoder as a digital precoder for each data stream input. The precoder is designed based on spatial multiplexing (SM) to increase the channel spectral efficiency by providing reliable performance over erasure channel [28]. The digital precoder consists of three different steps of linear precoding, phase hopping, and power calibration. In the first step, the transmitted symbol is performed by the linear precoding to correlate the transmitted signal on different transmitting antennas. Therefore, even if one or more channel links encounter erasure phenomenon, the transmitted signal can still be recovered from the other link signals [29]. For each PLP , the precoded data symbol can be expressed as where the precoding matrix is determined by
In equation (2), if the rotation phase and , we have eSM (enhanced SM) and Hadamard SM (hSM), respectively. The rotation phase has very little impact on the system’s performance [16]. The phase hopping eSM (PHeSM) consists of a phase rotation to the symbols of the second transmitting antenna by the multiplication with the term . The precoded data symbol with phase hopping is therefore expressed as where the is given by
In equation (4), , and is the hopping period and is the number of cells per FEC codeword. The phase hopping periodically changes the phase of symbols transmitted by one of two antennas within one FEC block. This is performed by the multiplication with the term of . The phase rotation is initialized to 0° at the beginning of each FEC block and is incremented by for every cell pair. This hopping phase enhances circularly the robustness against the transmitting antenna orientation to increase the diversity [30].
The ST coded data symbols with unequal power can be written as where is defined as a matrix to scale the power between two antennas. It can be expressed as
For instance, when QPSK and 16QAM are applied to the two antennas, is set to . This means twice power is allocated to 16QAM than the QPSK symbols. It is to increase the robustness of the higher order constellation under the constraint of the total signal power.
The combination of eSM and the phase hopping is the socalled eSMPH. The MIMO rate2 code of the DVBNGH system is expressed as
The digital precoder for the overall DVBNGH system is represented as , where . data symbols are precoded by ; each symbol is then passed through the th RF chain.
The digital domain signal from one RF chain is then fed to transmitting antennas to perform transmit analog precoding. The analog precoder vector is expressed as where , is the amplitude factor and is the phase shift. Finally, every data symbol is transmitted by the subantenna array of antennas.
2.2. Receivers
Consider the receiver side, where the hybrid analogdigital beamforming architecture is shown in Figure 1(b). The received signal for all data symbols is expressed as where , , and that is given by
The analog precoder of the receiver is represented in the following matrix form:
In this expression, the analog precoder vector of receiver, , is defined similarly to those of the transmitter. data symbols are represented as . Moreover, in equation (9), the total noise of , where is the complex Gaussian random variable with zero means and a variance of , and represents the joint hybrid precoding matrix with the size of .
2.3. Capacity Analysis
Recall the ergodic capacity of MIMO channel assuming perfect channel knowledge at both transmitter and receiver with zeromean Gaussian distribution inputs. The ergodic capacity can be expressed in general form as [31] where the covariance of the input data is written as
Therefore, equation (12) is given by where denotes the identity matrix of dimensions , , and is the complex conjugate transpose of , . When the channel matrix is square and orthogonal (), then with an identically distributed data input channel capacity can be rewritten as [32]
The capacity is linearly scaled with the number of transmitter antennas for an increasing SNR. In general, it can be demonstrated that an orthogonal channel as the one used in the previous example maximizes the capacity in MIMO systems. In an identically distributed channel with flat fading, the channel matrix becomes almost orthogonal when the number of transmitter antennas is high [33]. When the number of transmitter and receiver antennas is different, the capacity increase is limited to the minimum number of them. The purpose of analog beamforming is to raise the SNR. In the next section, we consider a MIMO rate2 case and estimate the SNR for capacity evaluation.
3. MIMO Rate2 Case Study
In this section, we describe the MIMO spatial multiplexing that is specified in DVBNGH as MIMO rate2 codes. The term “rate2” basically stands for the transmission of two independent streams. MIMO rate2 codes in DVBNGH use crosspolar antenna arrangement (antennas with orthogonal polarization) with two transmitter antennas and two receiver antennas (the MIMO system).
The DVBNGH MIMO rate2 receiver diagram is illustrated in Figure 3. In this scheme, we clarify the amplitude factor of and the phase factor of . Considering the horizontally polarized part of the system, the received signal can be written as where superscript denotes the polarized antenna horizontally, and represent the received signal at the first receiver antenna and the received signal at the second receiver antenna, respectively. , and are the transmitted signal, the noise component at the first receiver antenna, and the parameter representing noise component at the second receiver antenna, respectively. and are the phase factor between the received signal at the first and second receiver antennas and the amplitude factor, respectively.
When the DVBNGH MIMO system uses transmitter and receiver antennas, the received signal at the receiver side can be represented as and the output of the analog beamformer is expressed as where and . For the case study of the DVBNGH MIMO rate2 system, the SNR can be determined by maximizing the following expression for various phase shift and amplitude factors as where is the noise power.
In addition, multiple interferences in the DVBNGH MIMO rate2 system can be expressed as where represents the interference signal. For the case of DVBNGH MIMO system using transmitter and receiver antennas, the received signal is represented as and the output of the analog beamformer is expressed as
The signaltointerferenceandnoise ratio (SINR) which corresponds to the signal strength parameter can be then determined for the DVBNGH MIMO rate2 system. The SINR can be determined by maximizing the following expression for various phase shift and amplitude factors as where is the noise power.
When the desired signal has multiple paths with different delays and the interfering signal has multiple paths with different delays, then the maximum SINR solution for the DVBNGH MIMO rate2 system in that case is given by
The corresponding achievable average capacity can be rewritten as [32]
To reduce the computational complexity, numerous suboptimal MIMO receivers have been used such as the linear zeroforcing (ZF) and the minimum mean square error (MMSE) receivers [34]. The optimum receiver, i.e., the ML detector at the receiver, evaluates the squared Euclidean distance and selects the coupe minimizing this distance. The squared Euclidean distance can be expressed as where is the Frobenius norm and is the received noisy signal.
4. Simulation Results
In this section, we show the BER performance of the proposed system by means of the Monte Carlo simulation. The simulation estimates the capacity performance versus the signaltonoise ratio and bit error rate versus Eb/No ratio. Table 2 shows two study cases for the performance evaluation of the proposed system. In the first case, the MIMO rate2 for the FFT 8 K/16 K mode is performed using 64QAM or 256QAM modulation constellation schemes. In the second case, the MIMO rate2 for the number of substreams of 2 and 4 over the 16 K FFT mode is performed using 64QAM. Within each study case, we evaluate system parameters with various analog precoder configurations. The detailed simulation parameters are presented in Table 3. The simulations include inner LDPC codes with a word length size of 16200 bits (16 K) and the outer BCH.


Figure 4 shows the bit error rate (BER) performance versus Eb/No for the various values of 1 and 2. We evaluate all combinations of constellation orders 64QAM and 256QAM with the FFT size of 8 K and 16 K. It is clearly noted that the system’s performance significantly increases when the power gain increases. In addition, figures also show that increasing the FFT size severely improves the BER performance, especially at the power gain of 10 dB. However, for the case of , it is noted that the best system performance can be achieved at the power gain of approximately 7.5 dB for the case of MIMO rate2, the FFT size of 16 using 64QAM modulation scheme.
(a) BER vs. Eb/No for various modulation schemes, the transmitter antennas of
(b) BER vs. Eb/No for various modulation schemes and the FFT size, the transmitter antennas of
(c) BER vs. Eb/No for various modulation schemes, the transmitter antennas of
In Figure 5, we show the BER performance of the DVBNGH system versus the Eb/No for MIMO rate2 using the 256QAM modulation scheme and the FFT size of 16 K for various transmitter antennas of , 2, 4, and 8. It is also seen that the BER decreases with the increase of Eb/No. In addition, the increase of the number of transmitter antennas significantly increases the DVBNGH system performance. The power gain of approximately 5 dB is seen when increasing the number of transmitter antennas from 1 to 2, 2 to 4, and 4 to 8, at the target BER less than 10^{3}.
Now, let us evaluate the proposed hybrid beamforming dualpolarized MIMO spatial multiplexing with the eSMPH structure. Figures 6 and 7 present the system capacity achieved by the modulation scheme of 64QAM, the inner coding of LDPC 8/5, and a frame error rate (FER) 1% after BCH. The analyzed schemes are MIMO rate2 and MIMO with four RF chains () with for performance comparison purposes. The channel model used for this case study is uncorrelated Rayleigh fading in which the impairment correlation factor between the antenna elements is 1%. The results illustrate a better performance with various values. The beamforming gains achieved with LDPC code rate 8/15 at BER of decoding increase with the number of elements at analog precoder, i.e., 3 dB (), 6 dB (), and 8.9 dB ().
Finally, Figure 8 shows the beampattern of the proposed hybrid beamformer with two RF chains () and number of the antennas and (Figure 8(a)) and four RF chains () and (Figure 8(b)). It can be seen from the proposed scheme that the optimized beamformer has dominant beams. This beampattern means that the data streams can be successfully transmitted through those beams.
(a)
(b)
5. Conclusions
In this paper, we developed a new beamforming scheme based on hybrid beamforming and dualpolarized MIMO spatial multiplexing for DVBNGH systems. In the proposed approach, the beamforming scheme has maximized the channel capacity of the MIMObased DVBNGH systems. Simulation results showed that the proposed hybrid beamforming is efficient to achieve higher capacity than the existing dualpolarized MIMO spatial multiplexing for the DVBNGH systems. The performance evaluation in terms of the bit error rate, the ergodic channel capacity, and the beampatterns showed that the proposed hybrid beamforming schemes using analogdigital beamforming and dualpolarized MIMO spatial multiplexing for the DVBNGH system have dominant beams. Although some achievements have been achieved, some challenging problems remain to be solved, for example, physical size reduction. Therefore, in the future work, the hybrid beamforming configuration scheme could be optimized for the handheld receiver in DVBNGH systems.
Data Availability
The data used to support the findings of this study are included within the article. Simulation experiments were carried out using MATLAB®. All data used to support the findings of this study are included within the article. The latter are available from the corresponding author upon request.
Conflicts of Interest
The authors declare that there is no conflict of interest regarding the publication of this paper.
Acknowledgments
This work is supported by Ministry of Science and Technology of Vietnam under Project No. NDT.32.ITA/17.
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Copyright © 2020 Huu Trung Nguyen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.