Hybrid Blast Stbc Approach Computer Science Essay

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Digital communication exploiting MIMO processing has emerged as a breakthrough for revolutionary wireless systems can offer high data rates through spatial multiplexing , interference cancellation techniques and they can improve the link reliability[1-4]through diversity. VBLAST [5] is a spatial multiplexing scheme that transmits independent layers of information through a MIMO channel. In general, all these gains cannot be achieved simultaneously,as they are dependent on antenna configuration and scattering environment. Hence, good knowledge of the characteristics of the propagation environment is crucial for maximizing the achievable MIMO gains. In fact, the very demanding performance targets set for next-generation systems are virtually impossible to reach without an efficient utilization of multiple antennas both at transmitter and receiver side.However, it has poor energy performance and doesn't fully exploit the available diversity. The V-BLAST algorithm aims to maximise the capacity by using combination of spatial processing and subtractive cancellation to remove co-channel interference ,provided that the number of antennas at the receiver is greater or equal to that of the transmitter.Conversersely,the STBC[6] or Alamouti scheme exploits the diversity against fading that is available from employing muliple antennas at the transmitter and possible at the receiver but with a maximum code rate of one which is achieved at two transmit antennas.

Combining V-BLAST and STBC results in a layered architecture with transmit diversity in each layer. This can be called a "Hybrid BLAST STBC approach" to try to exploit the advantages of both higher data rates and increased diversity gain of the MIMO system at low SNRs and at low outage probabilities. The idea of this scheme is to demultiplex a single user's data into parallel layers of information. Then, each layer is encoded by a STBC. Each code is called a group, because the total number of transmit antennas are divided into groups and each group is assigned a STBC. This architecture was first considered in [6] where they used space time trellis codes (STTC) as the component codes. In a multi-user environment, a multi-user STBC system with minimum mean-squared error (MMSE) detection was studied in [7]. In [8], different decoding algorithms for HBSC were compared over flat fading MIMO channels. One advantage of using STBC over STTC is that the orthogonal structure and the short code length can be exploited at the receiver to reduce the minimum required number of receive antennas [7]. For HBSC [6,9], the number of receive antennas should be at least equal to the total number of transmit antennas. However, for Hybrid BLAST STBC, it is equal to the number of layers.

In this paper,the shannon capacity of the three techniques will be investigated theoritically.Then the analysis will also be complemented by detailed simulation studies of the algorithms,investigating the bit error ratio performance of the three receiver.The result will show that in some cases the Hybrid BLAST STBC algorithms can significantly outperform the V-BLAST and STBC techniques.The rest of the paper is structured as follows. Section 2 of the paper will describe the system model that is used in the paper .Section 3 will describe the algorithms to be compared. Section 4 will present simulaion result and finally section 5 present the conclussion to the paper.

2. SYSTEM MODEL

A MIMO channel is a wireless link between MT transmits and NR receive antennas. It consists of MT NR elements that represent the MIMO channel coefficients. The multiple transmit and receive antennas could belong to a single user modem or it could be distributed among different users. The later configuration is called distributed MIMO and cooperative communications. Fig.1(a). shows conceptual diagram of MIMO channels.

Scatterers

TX

1

2

MT

NR

RX

1

2

Fig1(a): A MIMO wireless channel

Statistical MIMO channel models offer flexibility in selecting the channel parameters, temporal and spatial correlations. MIMO channel simulation tools are implemented based on these models. Several statistical MIMO channel models were proposed in [10] and [11].Both models introduced spatial correlation by multiplying a matrix of uncorrelated random variables by a square root of a covariance matrix and both are based on similar assumptions. However, they differ in their approach. In [12], the authors validate the statistical model of [10] based on measurements in picocells and microcells. They showed that the eigenvalue distribution of the model matches the measurements.

where is the power at the transmitter and k denotes the time index. The vector is the size N received signal vector. Where denotes the received signal at receiving antenna NR . is the quadrature amplitude modulation(QAM) transmission vector of size M, Where denotes the transmitted QAM symbol at antenna MT . The matrix H is the M x N channel matrix where the element at row n and column m, hmn denotes the channel response at receiver NR due to transmitter MT . The summary chart of MIMO communication systems is shown in Fig.1(b).

DIFFERENTIAL SPACE TIME MODULATION

UNITARY SPACE TIME MODULATION

DIFFERENTIAL BLOCK CODEING

BLOCK CODEING

TRELLIS CODING

THREADED SPACE TIME

V-BLAST

D-BLAST

MIMO communication system

Space time coding

Space time modulation

MIMO communication system

Fig 1(b):Summary chart of MIMO communication systems.

3. NOVEL FULL-DIVERSITY FULL- MULTIPLEXING SYSTEMS

In this section the three main algorithms will be introduced and explained in turn. These are V-BLAST algorithms, STBC scheme and hybrid BLAST STBC (multilayer STBC) scheme. This paper focuses on bandwidth efficient advances for MIMO systems, covering three major areas. The first area considers a layered architecture that has transmit diversity at each layer [13], termed a multi-layered space time code. This architecture combines spatial multiplexing and transmits diversity and it bridges the gap between these two MIMO systems. The focus in this part is to how the multi-layered system compares to other MIMO systems, such as V-BLAST and space time block codes. Furthermore, we propose and compare hybrid BLAST STBC detection algorithms which are based on multi-user detection theory.

3.1 V-BLAST:

The first high data rate architecture was the Bell-labs layered space time architecture (BLAST) and it was proposed by G. J. Foschini [14] . V-BLAST is a suboptimal algorithm that can reach a large fraction of its Shannon capacity under some proper propagation environments. In BLAST, multiple parallel data streams are spatially multiplexed and transmitted simultaneously on the same frequency through all transmit antennas. With rich multipath propagation, these different streams are separated at the receiver based on their distinct spatial signatures. However, this architecture is a full spatial multiplexing scheme and it doesn't provide any transmit diversity while receive diversity is achieved on some streams depending on the receiver architecture. It achieves high spectral efficiencies by spatially multiplexing coded or uncoded symbols over the MIMO fading channel.

The architecture (Fig. 2) of V-BLAST consists of MT specially multiplex data streams at the transmitter, which are measured at NR receiver antennas. Each sub-stream is encoded into symbols and fed to a separate transmitter. The modulation method in these systems usually is M Quadrature Amplitude Modulation (MQAM). QAM combines phase modulation with amplitude modulation, making it an efficient method for transmitting data over a limited bandwidth channel. BLAST's receivers operate co-channel, each receiving the signals emanating from all MT of the transmitting antennas. For successful operation of the algorithms, it is usually required that NR > MT.

RX

RX

RX

SCATTERNG

ENV

VECT OR EDECODER

TX

TX

TX

TX

TX DATA

V-BLAST Signal Processing

(Estimate Vector symbol and Decode)

RX

RX

RX DATA

Fig.2: V-BLAST architecture

The V-BLAST signal processor operates using M detection cycles, one for each transmitter antenna. The ordering algorithm selects the antenna with the strongest SNR, followed by the next strongest, until every antenna signal has been detected. Reconstructed signals for the detected antennas are then subtracted from the received signal to remove interference to the remaining undetected antennas. During the detection process, except for the antenna signal to be detected, the interference from antennas yet to be detected must be suppressed. The operation is performed by linearly weighting the receives signal to satisfy the maximum likehood (ML) criterion .ML receiver is a method that compares the received signals with all possible transmitted signal vector which is modified by channel matrix H and estimates transmit symbol vector x according to the Maximum Likelihood principle.The ML detector is defined as

Where, indicates that this matrix is used in the first detection cycle. This MT x NR matrix pre-multiplies the received signal to separate specially eachantennas signal from all others. This means that data detection can be performed independently on each of the MT outputs from the multiplications. In order to determine which transmit antennas has the best SNR at the ith iteration; the following formula for the mth antenna is used:

Where,

and

The vector is the mth row of Gi calculated after i-1 detection cycles. Similarly the vector H(m) is the mth column of H. The optimal ordering for detection and symbol cancellation makes V-BLAST different from the conventional linear combinatorial nulling. Let be a permutation of integers from 1 to M specifying the order of detecting the symbol vector a. The soft decision statistic for the mth antenna at iteration i can be formed by multiplying the nulling vector and received signal:

where denotes received signal after subtracting (i-1) previously detected signals. The detection statistic is then quantized in accordance to the constellation in use:

Where, the Q[ ] is the slicer to its respective constellation in used. The detected data are subtracted from the received signal while the column vectors of H due to the detected symbols are nulled. Finally, the received signal is updated for the next iteration as follows:

Where , denotes kith column of Hi after zeroing (i-1) columns matching the (i-1) previously detected signals. The subtraction of the detected data from the received signal aims to minimize errors in the subsequent detection process, provided the detected data possesses a certain degree of accuracy at the end of the ith detection cycle. The matrix Hi+1 is formed by setting column ki of the matrix Hi to zero. The ML matrix Hi+1 must then be re-calculated using equation (2) with (Hi+1 )used in place of H.

3.2. STBC/Alamouti Scheme:

Space-time coding is coding technique designed for use with multiple transmits antennas. Coding is performed in both spatial and temporal domains to introduce correlation between signals transmitted from various antennas at various time periods. The spatial temporal correlation is used to exploit the MIMO channel fading and minimize transmission error sat the receivers. Space-time coding can be achieve transmit diversity and power gain over spatially un-coded systems without sacrificing the bandwidth. A basic space time code is Alamouti space time codes. The approach is outline in Fig.3.

Information source

Modulator

[s1 s2] s1 -s2*

s2 s1*

S1= [s1 -s2*]

S2= [s2 s1*]

Fig 3: A block diagram of the Alamouti space time encoder

This particular scheme is restricted to using MT = 2 antennas at the transmitter but can any number of receive antennas NR .Two QAM symbols S1 and S2 for transmission by the Alamouti scheme are encoded in both the space and time domain at the two transmitter antennas over the consecutive symbol periods as shown in equation( 9). The information bits are first modulated using a modulation scheme (for example QPSK). The encoder then takes a block of two modulated symbols s1 and s2 in each encoding operation and gives to the transmit antennas according to the code matrix,

In the above matrix the first column represents the first transmission periods and the second column, the second transmission period. The first row corresponds to the symbols transmitted from the first antenna and second row corresponds to the symbols transmitted from the second antenna. It means that during the symbol period, the first antenna transmits s1 and second antenna s2. During the second symbol period, the first antenna transmits -s2* and the second antenna transmits s1* being the complex conjugate of s1. This implies that we are transmitting both in space (across two antennas) and time (two transmission intervals). This is space time coding.

Hence, S1= [s1 -s2*] and S2= [s2 s1*]

Moreover a close look reveals that sequences are orthogonal. The inner product is given by:

S2 = s1s2* - s2*s1 =0 …….(10)

In order to decode the signal, the received signal can be expressed as

Where is the received signal vector at the receiver n during symbol periods K = 0 or 1.Similarly, denotes the noise samples at the antenna n for two symbol periods.

The matrix is defined by

Decoding the data is achieved be done by multiplying the received signal with the Hermitian transpose of the channel matrix HA as :

In this equation

3.3 Hybrid BLAST STBC

The Architecture of Hybrid BLAST STBC system is shown in Fig.4. In the previous section on the Alamouti scheme, It is seen that for 2 transmitter antennas to achieve full diversity, the spectral efficiency of the system is the same as that of a single transmitter antenna.

MIMO Fading Channel

Hybrid BLAST STBC Detector

STBC

G1

STBC

Gk

Sk

s1

Fig 4: Architecture of Hybrid BLAST STBC system.

In order to improve the spectral efficiency of the system, a 4 transmitter structure is now considered, where the alamouti scheme is applied separately to two pairs of antennas. This means that two data streams are spatially multiplexed on two different pairs of antennas. The received signal for this transmitter configuration may be written as

In this equation, the vector , where the quantities and represent the QAM symbols for the second Alamouti- encoded data stream which is transmitted simultaneously with .

Unlike equation (16) the two symbol pairs ( and) interfere with one another, so simple linear decoding is no longer optimum. However, the form of equation (18) means that the V-BLAST algorithm can be applied directly to detect the data symbols .As with the Alamouti scheme the structure of the dual Alamouti scheme means that s1 and s2 do not interfere with one another,which is also the case for s3 and s4 . The dimension of in equation (17) is 2N , which means that the transmissions of 4Tx antenna can be successfully decoded with only 2Rx antennas.

3.4. SHANNON CAPACITY COMPARISONS:

In this section, Shannon capacity results for the three algorithms under consideration will be revised. Under assumption of unit bandwidth, the Shannon capacity of the MIMO system shown in equation (1) is given by the formula [14]:

In this formula det( ) denotes the matrix determinant operation. This formula assumes that the transmitter possesses no knowledge of the channel matrix H. In order to calculate the capacity of the Alamouti scheme ,we can notice that equation (12) has the same general form as (1).So equation (21) can also be applied to this system. However, the vector is measured over two consecutive symbol periods. For consistent results, the effective bandwidth of the system must be divided by two in compensation. So, the following result is obtained

The RHS of this equation may be obtained from the LHS by noticing the orthogonal structure of the matrix product in equation (16).Again the capacity of the Hybrid-Blast scheme may be obtained by noticing that equation (19) has the same general form as (1).As with the Alamouti scheme ,the bandwidth must be scaled by factor of two compensate for being measured over two consecutive symbol periods. This time, the resulting capacity equation is:

The matrix is defined in equation (19).The equations for may be evaluated to compare the achievable Shannon capacities of the three systems.

Table 1: Comparison between different multilayer MIMO communication systems

MULTI-LAYER SYSTEM

Transmit

Diversity

Number of Received Antennas

Diversity Advantage Over Quasi-Static

Fading Channels

Receiver Complexity Increase With increasing number of transmit antennas or /and transmission rate

BLAST

No

Earlier detected symbols have lower advantage that later ones

Cubic

STTC

Yes

Exponential

STBC

Yes

Linear

HYBRID BLAST STBC

Yes

Exponential

4. SIMULATION RESULTS

This section compares the capacities of the detection algorithms of Hybrid BLAST STBC, V-BLAST and STBC (Alamouti) In addition, the optimal MIMO capacity is included as a reference. For Hybrid BLAST STBC, each component code is a rank two Alamouti STBC . The capacity of the different systems is estimated by generating random complex Gaussian channel realizations from which the instantaneous capacity is calculated and then the bit error ratio (BER) vs SNR performance of the different schemes is compared with the capacity results. One main difference between Hybrid BLAST STBC and V-BLAST at the same number of transmit-receive antennas is that the earlier has more spatial diversity than the later while the later has more layers. For example, with a 4Ã-4 MIMO system, Hybrid BLAST STBC has two layers and each layer has a transmit diversity of two. At the receiver, the first detected layer has a receive diversity of three. This is because the detector needs one antenna to null out one interfering layer and the rest provide diversity. On the other hand, V-BLAST has four layers and no transmits diversity. In addition, the first detected layer has no receive diversity because the algorithm needs three antennas to null out three interfering layers.

Fig.5(a)

Fig.5(b) Fig.5(c)

Fig .5(a),5(b) and 5(c) : Shannon capacity for 1% outage vs. SNR performance of the three schemes under consideration for MIMO system.

In this section, the results obtained from evaluating the formulas for in section 4 are compared. This is done by generating 10,000 sample H matrices and using these two evaluate the channel capacity at different SNRs. The results are presented as 15 outage capacity - that is, the capacity exceeded for 99% of all channel realizations. The results for two receive antennas are presented in Fig.5(a). In this case it can be seen that the (4,2) Hybrid BLAST STBC scheme provides a distinct performance advantage over the (2,2) V-Blast or STBC(Alamouti) schemes at high SNRs . In part of the Fig 5(b) and 5(c) results for four receiver antennas are presented. It can be seen that at low SNR the (4,4) V-Blast and Hybrid BLAST STBC schemes achieve similar capacity results. However, at higher SNRs,(4,4) V-Blast begins to out-perform the Hybrid BLAST STBC scheme. Both of these techniques perform better than (2, 4) STBC or V-Blast. Thus hybrid method attains superior diversity gain performance to V-BLAST and can out form V-blast at spectral efficiencies of practical interest. Furthermore, at low SNRs and low outage probabilities, hybrid is more spectrally efficient depending on the increasing order of the antennas. The capacities of Hybrid BLAST STBC and V-BLAST first increase when adding more layers as expected but after a certain number of layers, a reduction in capacity occurs especially when MT = 2NR in Hybrid BLAST STBC and when MT = NR in V-BLAST. This is a result of receive diversity reduction caused by the nulling operation in the detection algorithms of both systems. In other words, the capacity could be maximized by selecting the best number of layers at a given SNR. As a heuristic rule inferred from the plots, if the intended region of operation is at high SNRs, set the number of layers (K) to NR - 1. On the other hand, if the region of operation is at low and moderate SNRs, set K to be equal to NR /2.

Fig 6: BER vs.SNR performance with 16 QAM Fig 7: BER vs.SNR performance with QPSK

modulation for different spectral efficiency. modulation for different spectral efficiency.

Fig 8: BER vs.SNR performance with different Fig 9: BER vs.SNR performance with different

modulation for spectral efficiency of 4bits/s/Hz. modulation for spectral efficiency of 2bits/s/Hz.

Fig 10: BER vs.SNR performance with different multilayer schemes.

5. CONCLUSSION

The paper has compared the unique outage capacity performances of V-BLAST, the STBC (Alamouti) and Hybrid BLAST STBC scheme. The goal is to examine the optimal performance and the spatial multiplexing and diversity tradeoffs and their relation with the detection algorithm. The results for the Shannon capacity of the three systems shows that for two receive antennas; Hybrid BLAST STBC provides the best performance. Also the results show that Hybrid BLAST STBC is more spectrally efficient at low as well as high SNR by simultaneously transmitting symbols through all transmit-antennas without introducing any structure at the transmitter to aid detection at the receiver and at low outage probabilities than VBLAST. Furthermore, since Hybrid BLAST STBC has more transmit-receive diversity, it is more power efficient but it suffers from poor power efficiency and error propagation. Using convolutionally coded modulation have also be presented for spectral efficiency of 2,4 and 8 bits/s/Hz (Fig.6 and Fig. 7)with the above architecture for different modulations(Fig 8 and Fig.9) to improve the power efficiency. The Space time coded systems jointly optimize the design of transmit-diversity, data rate and coding gain. They improve the error rate performance of the system by providing diversity. Schemes that don't require channel estimation at the receiver are unitary space time modulation and differential space time modulation. These schemes directly modulate space time matrices that are drawn from space time constellations that satisfy certain design criteria. The decoding of these schemes increases exponentially with increasing rate or number of transmits antennas. They also show that for 2 receive antennas, Hybrid BLAST STBC similar bit error ratio performance to V-BLAST. Therefore, Hybrid BLAST STBC makes a good candidate in order to suppress and cancel interfering signals before detecting the desired signal and for low power high data rate wireless applications.

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