Editor: Ming Liu (ietr-insa)

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engines_official_logo.tif TR 3.2

TR 3.2

Interim Report on MIMO Concepts

Editor: Ming Liu (IETR-INSA)


1Introduction on Space-Time (ST) codes 3

2System Architecture Proposals for DVB-NGH Integrating MIMO Schemes 3

2.1Single-tower MIMO Transmission 3

2.2Distributed MISO Transmission 4

2.3Two-tower MIMO Transmission 4

2.4MIMO Architecture including Satellite Link 5

3Candidates of Space-Time (ST) Codes for DVB-NGH 5

3.1List of Candidates of ST Codes in the NGH Project 5

3.2Rate-One 6

3.2.1 Alamouti code 6

3.2.2SIMO 7

3.3Rate-Two 7

3.3.1 Rotated-Constellation based Spatial Multiplexing (rSM) 8

3.4Four Transmit Antennas Codes 8

3.4.1 L2 Code 9

3.4.2 MUMIDO Code 9

3.4.3Restricted Enhanced SM (RESM) Code 9

3.5Hybrid Satellite/Terrestrial Transmission 10

3.5.1One Satellite Antenna and One Terrestrial Antenna 10

3.5.2One Satellite Antenna and Two Terrestrial Antenna 10

3.6ST Codes Proposed by other DVB members 10

3.6.1eSFN 10

3.6.2Transmit Antenna Switching (TxAS) 11

3.6.3eSM/hSM 11

3.6.4 Phase Hopping Spatial Multiplexing (PH-SM) 12

3.6.5Multi-layer Spatial Multiplexing (ML-SM) 12

3.6.6Unequal Power Code 13

4Performance Comparisons among the Candidates 14

5Advanced Modulation and MIMO Schemes 14

5.1Rotated Modulation (Telecom Bretagne) 14

5.2OQAM and MIMO (Orange Labs) 14

5.3 MIMO 3D including Satellite Link (IETR, CNES) 14

5.4 Distributed Coded MIMO (IETR) 14

6References 15

Abstract – Bla bla bla

1Introduction on Space-Time (ST) codes

Figure 1 ST codes
Add intoduction.

2System Architecture Proposals for DVB-NGH Integrating MIMO Schemes

The MIMO transmission can be deployed in several different ways depending on the locations of the transmit antennas. More precisely, in the context of broadcasting, MIMO transmission can be realized by multiple transmit antennas mounted in a single transmitter tower. Several transmitter towers can form a Single Frequency Network (SFN), in which the MIMO transmission can also be applied. Moreover, additional satellite broadcast link(s) can be involved in the transmission network, which forms a hybrid satellite/terrestrial MIMO transmission architecture. Different MIMO system architectures will be presented in detail in the following part of this section.

2.1Single-tower MIMO Transmission

Figure 2 Single-tower MIMO transmission scheme.
In the typical MIMO transmission, as demonstrated in Figure 2, multiple transmit antennas are installed in one transmitter tower. The space-time coded signals are transmitted by the multiple antennas. This scheme can be adopted in the Multi-Frequency Network deployment.
The transmit antennas are commonly cross-polarized in order to de-correlate the channel links to achieve higher MIMO channel capacity. According to the field measurements [2] carried out in Helsinki in the framework of ENGINES project, the cross-polarized pair of antennas can provide sufficient uncorrelated channel links that enables higher transmission throughput using MIMO technique.

2.2Distributed MISO Transmission

Figure 3 Distributed MISO transmission scheme
In the SFN deployment, several transmitters simultaneously broadcast the same programs in the same frequency bands. The coverage of the broadcast services can be significantly enlarged without the need of more frequency bands. However, there are also some challenges to face in SFN. Traditionally, same signals are transmitted from transmitters situated in different locations. The superposition of signals from different transmitters can lead to severe degradations of signal strength in some spots in the landscape.
The SFN coverage can be improved by introducing distributed MISO transmission. A presentation of the distributed MISO transmission is given in Figure 3. Signal is first space-time coded and then fed to different transmit sites (towers). Space-time coding de-correlates the signals transmitted from different sites and therefore mitigates the signal strength degradation problem in the traditional SFN. In addition, compared to SISO case, MISO transmission lowers the requirement of the minimum signal power to decode the transmitted program. In other words, it improves the coverage of SFN. Another important advantage of the MISO transmission is that it does not require additional transmit antennas and feeds on each transmit site. It means that the implementation of distributed MISO transmission does not need very high hardware update costs. In addition, single antenna is required by the receiver, which helps minimizing the user cost.
A distributed MISO transmission scheme using Alamouti code [1] is specified in the DVB-T2 standard [3]. Although it is initially proposed for two transmit sites case, it can also be used with more sites by dividing them into two groups.

2.3Two-tower MIMO Transmission

Figure 4 Two-tower MIMO transmission scheme
Another MIMO transmission architecture can be obtained by applying space-time coding on two transmit sites, each of them equipping multiple antennas. This scheme can be viewed as a combination of the previous two schemes. An illustration of this MIMO architecture is shown in Figure 4. Since the transmit antennas are located in geographically separated positions, the different channel links are uncorrelated, which brings inherent transmit diversity. Multiple receive antennas are also adopted at the receiver side to exploit the receive diversity.

2.4MIMO Architecture including Satellite Link

Figure 5 MIMO transmission including Satellite Link
As shown in Figure 5, the hybrid satellite/terrestrial architecture incorporates the infrastructures of both terrestrial and satellite broadcastings. It achieves nationwide satellite coverage. Meanwhile, the terrestrial broadcasting complements the coverage in urban areas where dense buildings and can block traditional satellite signal. Therefore, it can effectively deliver broadcasting services in a large area.
The use of both satellite and terrestrial transmitters provides inherent transmit diversity which can be exploit by applying appropriate MIMO schemes. The satellite transmitter can work in the same frequency as the terrestrial one(s) to form a SFN. In this case, all receive antennas can receive signals from both satellite and terrestrial transmitters, which forms a distributed MIMO transmission. Alternatively, the satellite and terrestrial transmitters can work in different frequency bands. In this case, one or more additional receive antenna(s) should be dedicated to receiving the satellite signal, which provides an independent, cooperative transmission link. Diversities can be extracted by combining the received signals from different sources.

3Candidates of Space-Time (ST) Codes for DVB-NGH

3.1List of Candidates of ST Codes in the NGH Project

A good many of ST codes are proposed for the DVB-NGH program. More precisely, the ST codes studied in the framework of ENGINES project are:

Rate-One (diversity coding)

  • Alamouti code [1]

  • Single-Input-Multiple-Output (SIMO) [4][5]

Rate-Two (spatial multiplexing)

  • Rotated-Constellation based Spatial Multiplexing by Telecom Bretagne [6]

4 Transmit antennas codes

  • L2 code by University of Turku[7]

  • MUMIDO code by University of Turku[7]

  • Restricted Enhanced Spatial Multiplexing (RESM) code by University of Turku[7]

Hybrid satellite/terrestrial transmission scheme

  • 2 transmit antennas (1x terrestrial, 1x satellite) by University of Turku[8]

  • 3 transmit antennas (2x terrestrial, 1x satellite) by University of Turku[8]

In addition, some ST codes are also proposed by other DVB members that are not involved in the ENGINES project:

Rate-One (diversity coding)

  • eSFN proposed by Tchnische Universität Braunschweig (TUB) [9][10]

  • Transmit Antenna Switching (TxAS) proposed by LG [11]

Rate-Two (spatial multiplexing)

  • Enhanced Spatial Multiplexing (eSM) by LG [12]

  • Phase Hopping Spatial Multiplexing (PH-SM) by LG [14]

  • Unequal power code by ETRI [15]

  • Multi-layer Spatial Multiplexing (ML-SM) by Politecnico di Torino and RAI [16]


3.2.1 Alamouti code

Figure 2 Alamouti ST code scheme.
The Alamouti code [1] is the most known ST coding scheme with full diversity and code rate one. The received signal can be written as:

The advantage of the Alamouti coding scheme is that it creates an orthogonal MIMO channel structure, i.e. is diagonal matrix, which enables low-complexity maximum-likelihood (ML) symbol detection using the simple zero forcing (ZF) decoding:

The disadvantage of this scheme is that in order to decode the received signal, all four channel links, i.e. should be estimated. Therefore, it requires twice pilots as much as that is needed in the SISO case.


Figure 5 SIMO scheme.
The Single-Input-Multiple-Output (SIMO) is a receive antenna diversity scheme. Multiple antennas are used at the receiver side in order to increase the robustness of the reception. As the geographical separation of the receive antennas are small compared to the signal propagation distance, the received signals on different antennas commonly have correlated shadowing processes and uncorrelated multipath processes.
The advantage of this scheme is that it increases the robustness of the reception while does not require additional pilot overhead.
However, according to the theoretical analysis [4] and simulation results [5], MIMO channel capacity is greater than or equal to the average capacity of the two SIMO channels, even in the worst case ().


3.3.1 Rotated-Constellation based Spatial Multiplexing (rSM)

Figure 8 Rotated-Constellation based SM scheme.
Another means to enhance the performance of SM in erasure channel is to adopt the idea of the rotated QAM constellations technique [19]. The data (QAM symbols) for each antenna is first rotated to correlate the in-phase (I) and quadrature (Q) components with an angle. After rotation, the data symbols for two antennas become:

Then, the ST coder twists the Q components on the two antennas. The data symbols on the two antennas are finally:



This ST code has a transmit diversity of 2, which makes it robust to the channel erasure event and the high correlation between antennas.

3.4Four Transmit Antennas Codes

A number of ST coding schemes are proposed for the four transmit antennas scenario aiming at increasing the robustness (diversity) of the code and decreasing the computational complexity.

3.4.1 L2 Code

The L2 code is a rate-one ST code with a similar structure as Jafarkhani’s quasi-orthogonal code [20]. Compared to the Jafarkhani’s code, the L2 code achieves full diversity and hence has non-vanishing coding gain. The coding matrix is expressed as:

where is the complex conjugate transpose of matrix . Some characteristics of the L2 code are:

  • Full diversity,

  • Rate-One, enabling high-quality reception also in the presence of correlation,

  • Quasi-Orthogonal,

  • Non-vanishing coding gain,

  • Complex sphere decoding with reduced complexity (at most , given the size of the constellation).

3.4.2 MUMIDO Code

MUMIDO code is a rate-two code with lower decoding complexity when the sphere decoding is used. The use of one 4-dimentional sphere decoder can be replaced by two parallel 3-dimentional ones. The coding matrix is expressed as:

where and the function maps to and keeps others unchanged. Some characteristics of MUMIDO code are:

  • Not full diversity,

  • Rate-two code,

  • Decoding complexity at most .

3.4.3Restricted Enhanced SM (RESM) Code

Another rate-two ST code with reduced decoding complexity is:

Some characteristics of RESM code are:

  • Rate-two,

  • Decoding complexity at most ,

  • Real value sphere decoder is needed.

3.5Hybrid Satellite/Terrestrial Transmission

3.5.1One Satellite Antenna and One Terrestrial Antenna

3.5.2One Satellite Antenna and Two Terrestrial Antenna

3.6ST Codes Proposed by other DVB members


Figure 3 eSFN scheme.
In Single Frequency Network (SFN) configuration, signals from different transmit antennas may incur destructive superposition in certain spots in the landscape. The coherence bandwidth of the deep fades can reach the entire channel bandwidth. The reception in that location becomes very difficult. This problem also happens in the mixed (namely, time multiplexed) SISO/MIMO transmission scenarios. In the SISO transmission time slots, identical data is transmitted on both vertical- and horizontal antennas. This can result in the similar wideband fading problem as in SFN. One antenna may have to be switched off during the SISO transmission, which means a 3 dB transmission power loss.
eSFN [9][10] is a SFN scheme with improved robustness in face of the deep fading within a wideband. It de-correlates the transmitted signals from different antennas using independent phase distortions. More precisely, the OFDM data for transmission is first divided into a number of groups. The phases of the subcarriers in each group are distorted with a common shift. The phase shift linearly increases with the with respect to different groups of one antenna, while the phases of different antennas are uncorrelated. In addition, the envelope of each group is shaped by the Raised Cosine Function, as shown in Figure 3, to smooth the phase transition between two adjacent groups.
The advantage of this eSFN scheme is that it avoids the wideband, deep fading that may appear in the SFN configurations. In the mixed SISO/MIMO transmission scenario, the same signal can be transmitted on both antennas in the SISO transmission time slot, which not only increases the transmission power but also introduces some diversity.
The disadvantage of this scheme is that the channel estimation may suffer from the phase pre-distortion.

3.6.2Transmit Antenna Switching (TxAS)

Figure 4 TxAS scheme.
The Transmit Antenna Switching (TxAS) is a simple ST coding scheme aiming at collecting the transmit diversity using the channel coding. It separates the OFDM subcarriers into several disjoint groups. Each subcarrier group is associated with a specific antenna. For each antenna, only the subcarriers in the assigned group are active. The rest subcarriers are not used for data transmission. That is, data on different antennas is transmitted via orthogonal frequency subbands to achieve transmit diversity. At the receiver side, the decoding process involves the data from all transmit antennas. In other words, the transmit diversity is easily collected by the channel coding without the need of the ST coding.
The advantage of this scheme is that it is very easy to implement. As the data on different antennas is transmitted in orthogonal subbands, the channel can be seen as a single-transmitter one at the receiver side. Therefore, there is no need to increase the number of pilots as in the Alamouti scheme even though multiple transmit antennas are used.
The disadvantage of this scheme is that some more pilots are needed for the border area of each group to guarantee reliable channel estimation.


Figure 6 eSM scheme.
In SFN or mixed SISO/MIMO scenarios, the same signal is transmitted from several transmit antennas over the same channel. The destructive superposition of the signals from different transmitters can result in deep fading over a wide frequency band, i.e. an erasure event, in some geographic locations. Transmitted information is totally lost when the erasure event happens. This kind of the channel situation is referred to as the erasure channel. The conventional Spatial Multiplexing scheme encounters serious decoding error in the erasure channel, because it maximizes the transmission rate but is vulnerable in the bad channel conditions.
An enhanced Spatial Multiplexing (eSM) was proposed aiming at providing reliable performance in erasure channel. A linear precoding is performed to the transmitted symbol in order to correlate the signals transmitted signal on different transmit antennas, so that, even if one or more channel links encounter erasure event, the transmitted signal can still be recovered from the signals from other links. The precoded data symbol is expressed as:


where the precoding matrix is written as:


The rotation phase has two options:


Hadamard SM (hSM).

While it is proved that the rotation phase has very little impact on performance [17]. Since the precoding matrix is unitary, the eSM has identical performance as the conventional SM method in non-erasure channels.

Iterative decoding scheme can also be used in the eSM scheme. Some discussions can be found in [18].

3.6.4 Phase Hopping Spatial Multiplexing (PH-SM)

Figure 7 Phase Hopping SM scheme.
Another variant of eSM is proposed by adding a circularly hopping phase in order to enhance the robustness against the transmit antenna orientation and to increase the diversity as well. This leads to the Phase Hopping eSM (PH-eSM). More precisely, the precoded data symbol with phase hopping is written as:


with given a hopping period .

3.6.5Multi-layer Spatial Multiplexing (ML-SM)

Figure 10 Multi-layer SM scheme.
The optimal (ML) decoding of conventional SM scheme is realized through an exhaustive search among all possible combinations of the transmitted symbols. Therefore, the computational complexity of the decoding grows exponentially with the number of transmit antennas and the modulation efficiency.
A generalization of SM scheme adopts a multilayer architecture in the purpose of reducing the decoding complexity associated to the SM scheme. Each layer is a QPSK symbol stream, weighted by a coefficient, and superimposed on the other layers. The layered structure enables the receiver to decode the superimposed layers one at a time. That means the complexity of the suboptimal decoding grows linearly, instead of exponentially, with respect to the number of layers (i.e. modulation efficiency).

3.6.6Unequal Power Code

Figure 9 Unequal power code scheme.
A variant of the eSM scheme is proposed in the case that different modulations are applied on the two antennas. The basic idea behind this scheme is to allocate more power to the modulation with higher order which is more vulnerable to the noise. The ST coded data symbols with unequal power can be written as:




is matrix to scales the power between two antennas. For instance, when QPSK and 16QAM are applied to the two antennas, respectively, is set to . That is, twice power are allocated to 16QAM than QPSK symbols. This is to increase the robustness of the higher order constellation under the constrain of the total signal power.

4Performance Comparisons among the Candidates

5Advanced Modulation and MIMO Schemes

5.1Rotated Modulation (Telecom Bretagne)

5.2OQAM and MIMO (Orange Labs)

5.3 MIMO 3D including Satellite Link (IETR, CNES)

5.4 Distributed Coded MIMO (IETR)


  1. S. M. Alamouti, “A simple transmit diversity technique for wireless communications”, IEEE Journal on Selected Areas in Communications, 1998.

  2. MIMO Channel Models”, Taskforce report TR 3.1, ENGINES project, June 2011.

  3. Digital Video Broadcasting (DVB); Frame structure channel coding and modulation for a second generation digital terrestrial television broadcasting system (DVB-T2)”, European Standard, ETSI EN 302 755, v1.2.1, February 2011.

  4. Peter Moss, “MIMO vs SIMO”, DVB document TM-NGH499r1, October 2010.

  5. Joerg Robert, “Revised Capacity Figures”, DVB document TM-NGH478r1, October 2010.

  6. C. A. Nour, “Rotated Constellations as MIMO Space Code for DVB-NGH”, DVB document TM-NGH564, October 2010.

  7. Camilla Hollanti and Tero Jokela, “Rate-1 and Rate-2 UTU Codes for the 4x2 MIMO channel--Detailed Descriptions for Cross-Check Simulations”, DVB document TM-NGH523r1, November 2010.

  8. Camilla Hollanti and Tero Jokela, “Hybrid MIMO configurations and code complexities”, DVB document TM-NGH1042, June 2011.

  9. Joerg Robert, “Simulation Results on MIMO Performance”, DVB document TM-NGH587, December 2010.

  10. Joerg Robert, “Improved Robustness and Transmitter Identification for Multi-Antenna Systems”, DVB document TM-NGH616, February 2011.

  11. Volker Pauli, “Low-Complexity Tx Diversity Scheme for DVB-NGH: Tx Antenna Switching”, DVB document TM-276, June 2010.

  12. JaeHwui Bae, “New Spatial Multiplexing Scheme for Erasure Fading Channels”, DVB document TM-NGH338, July 2010.

  13. Sangchul Moon, “Consideration about eSM and Multilayer SM”, DVB document TM-NGH503, October 2010.

  14. M. Petrov, Y. Murakami, T. Kimura, M. Ouchi, “The Effect of LoS Components on MIMO Performance”, DVB document TM-NGH591, December 2010.

  15. JaeHwui Bae, “ETRI's Unequal Tx Power MIMO SM and Simulation results”, DVB document TM-NGH406, September, 2010.

  16. Alberto Morello and Vittoria Mignone, “MIMO for Broadcast in DVB-NGH”, DVB document TM-NGH074, March, 2010.

  17. Mihail Petrov, “Final MIMO Simulations for Phase 2–eSM vs. hSM”, DVB document TM-NGH815, March 2011.

  18. Sangchul Moon, “Consideration about eSM and Multilayer SM”, DVB document TM-NGH518, November 2010.

  19. C. A. Nour and C. Douillard, “Rotated QAM constellations to improve BICM performance for DVB-T2”, in the Proceedings of the ISSSTA, 2008.

  20. H. Jafarkhani,  “A quasi-orthogonal space-time block code”, IEEE Transactions on Communications, 2001.


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