Patent Grant
7418050
The invention relates in general to wireless communication networks and in particular to multiple input/multiple output (MIMO) modulation in a network with at least one degenerate node.
Wireless communication networks offer the possibility of convenient access to information from virtually anywhere. In one common model, a wireless local area network (LAN) is provided in which one or more potentially mobile units equipped with wireless network interface cards (NICs) exchange data with an access point (AP) via radio-frequency (RF) or infrared (IR) channels. The AP is connected—generally via a wired, high-speed connection—to a wide area network, intranet, LAN, the Internet, or other network. The NICs and APs use a common communication protocol to regulate the exchange of data. Generally speaking, at the physical level, the communication protocol specifies parameters for accessing the communication channel. Such parameters typically include the carrier frequencies and modulation formats to be used for transmitting data. In addition, the protocol typically provides for training data (i.e., known data sequences) to be transmitted; training data is used by the receiver to correct for channel effects that may lead to errors in reconstructing the transmitted data sequence, including fading and noise in the transmission channel, as well as carrier-frequency and timing offsets between the transmitter and the receiver and multipath effects.
The IEEE 802.11a standard defines one such protocol for data transmission in a wireless LAN using orthogonal frequency division multiplexing (OFDM) in the 5.8-GHz band. According to this standard, data to be transmitted is provided to the transmitter in serial form. Sequential data bits are mapped in groups to a symbol in a constellation; the choice of constellation depends on the desired data rate. To attain the maximum supported data rate of 54 Mbps, each group of six data bits is mapped to a symbol in a 64-point quadrature amplitude modulation (64QAM) constellation. Each symbol is then assigned to one of 48 mutually orthogonal data-carrying subcarrier frequencies; four additional orthogonal subcarrier frequencies are also used and carry pilot symbols. An Inverse Fast Fourier Transform (IFFT) may be used to combine symbol streams from all 52 subcarriers, producing a time-domain signal for transmission. A preamble is transmitted with each data frame. The preamble specifies the data rate (which determines the constellation to be used for decoding) and the length of the data in the frame. The preamble also includes training data needed for synchronization of the receiver with the transmitter and for estimation of channel effects. At the receiver end, the process is reversed. A Fast Fourier Transform (FFT) is performed, and channel effects are removed by using channel estimates generated from the training data. Based on the data rate provided in the preamble, the correct constellation is selected for decoding. Decoding generally involves estimating the most likely symbol sequence by mapping the received data (corrected for channel effects) to points in the constellation.
Compared with wired LANs, wireless LANs offer the advantages of low-cost installation and greater flexibility in relocating components, since it is not necessary to provide cables for connecting the components. However, the data rate in existing wireless LANs (e.g., a maximum of 54 Mbps in an IEEE 802.11a network) is considerably lower than the 100-Mbps rate available in a wired LAN using 100baseT Ethernet, for example. Thus, for networks where high data rates are needed, wired LANs are still preferred. To attain greater acceptance, protocols for wireless LANs that support higher data rates would be desirable.
Various options for IEEE 802.11a extensions that would support higher data rates have been considered. One option is to use multiple channels to transmit the data stream; for example, data could be multiplexed between two 54 Mbps streams occupying two contiguous 20 MHz channels to obtain a rate of 108 Mbps. Using multiple channels, however, would reduce the LAN capacity (i.e., the number of nodes) because each transmitter would require more of the available RF spectrum. Moreover, such schemes may not be permitted under existing telecommunication regulations in some areas (e.g., Europe).
Another option is to increase the constellation density and/or reduce the coding overhead, thereby enabling each symbol to carry more data bits. However, increased constellation density would lead to increased error rates at the receiver end, while reducing the coding overhead would reduce the error-correction information available to the receiver. In either case, the effective operating range of the transmitter would be reduced as compared to IEEE 802.11a specifications. Some of the range could be restored by using diversity techniques, in which replicas of the same signal, displaced in time and/or space, are sent or received. However, diversity techniques require additional antennas at one or both ends of the link, which increases the cost of manufacturing some or all of the network components. Some known techniques (e.g. maximal ratio combining, space-time coding, transform techniques, and adaptive beam-forming) are effective with additional antennas at only one end of the link and would reduce the extra cost associated with diversity techniques. Nevertheless, in order to double the data rate, the constellation density would have to be doubled, and diversity techniques would not fully compensate for the loss of range.
A third option is to use multiple input, multiple output (MIMO) systems to increase the data rate and the operating range without increasing bandwidth. In a MIMO system, a transmitter splits the data into multiple streams and sends each via a separate antenna. The transmitter is designed so that each transmitted data stream has a distinctive vector signature. The receiver, which also has multiple antennas, processes received signals as including components from multiple transmitted streams, based on the differences in vector signatures of the transmitted streams. Unfortunately, existing MIMO systems require all network components to have additional RF chains and antennas, which increases the cost.
Therefore, it would be desirable to provide a system that supported increased data rate and operating range while not requiring additional bandwidth or additional RF chains at every network node (i.e., component unit or AP) or requiring capability knowledge to be shared between every node.
The present invention provides MIMO modulation for a wireless network wherein one or more nodes can be a degenerate node, i.e., at least one transmitter or receiver that has fewer antennas than a nondegenerate node antenna, without requiring modification of nondegenerate nodes. The modulation format is designed so that the transmit and/or receive operations of each network node are unaffected by whether another node is degenerate. In accordance with the present invention, a transmitter separates data into multiple streams for modulation. To transmit the modulated data, the transmitter either uses a separate antenna for each data stream or coherently combines the modulated data streams prior to transmission via fewer antennas than there are data streams (such as a single antenna for a combination of all data streams). In either case, the received signal includes a contribution from each data stream (unless some of the transmit antennas are blocked). A receiver is configured to process a received signal containing contributions from multiple signals sent in parallel from multiple transmit antennas; thus, the operation of the receiver is unaffected by whether the multiple data streams of the transmitter were combined in the channel after transmission or in the transmitter prior to transmission.
According to one aspect of the present invention, in a communication system comprising a plurality of transmitters and receivers configured to transmit and receive data in parallel via a plurality of channels, a process for transmitting data is provided. A data sequence to be transmitted is encoded. The encoded data is then split into a plurality of data streams. Each data stream is independently modulated using, for instance, orthogonal frequency division multiplexing (OFDM) modulation. Some or all of the modulated data streams are then combined to produce an output signal using a combiner within the transmitter, thereby producing an output signal. Where there is only partial degeneracy, more than two modulated data streams are present and they are grouped and combined to result in two or more output signals, but fewer output signals than the number of modulated data streams. The output signal is then (in the full degeneracy case) transmitted using a single antenna. In addition, training data is transmitted, the training data being sufficient to enable the receiver to compute a channel estimate corresponding to each of the plurality of data streams. For instance, a plurality of orthogonal training symbols may be provided.
The encoding of data may use a forward error correction encoding, such as trellis coded modulation (TCM), or another encoding scheme may be used to map data onto complex-valued symbols. Encoding may also include rotating encoded data symbols in the complex plane. After splitting the data, coordinate interleaving may be performed using pseudorandom or periodic interleavers.
Combining the modulated data streams may be performed by scaling a first one of the modulated data streams by a scaling factor, then adding the scaled data stream to a second one of the modulated data streams for one or more output signals. The scaling factor may be a real or complex-valued constant.
According to another aspect of the invention, in a communication system comprising a plurality of transmitters and receivers configured to transmit and receive data in parallel via a plurality of channels, a process for receiving data is provided. A signal is received, the signal including contributions from a plurality of data streams combined in either the channel or the transmitter, the signal further including training data. The signal is demodulated. A plurality of channel estimates is computed from the training data, each channel estimate corresponding to one of the plurality of data streams. A plurality of metrics is computed from the demodulated signal and the plurality of channel estimates, each of the metrics reflecting a contribution to the demodulated signal from a corresponding one of the plurality of data streams. The metrics are used to decode the demodulated signal.
Metrics may be computed by computing a Euclidean distance from a first complex-valued point representing the demodulated signal to a second complex-valued point representing one of a set of possible combinations of transmitted data symbols from the plurality of data streams; repeating the computation of a Euclidean distance for each of the possible combination of transmitted data symbols; and generating the metrics based on a combination in the set of possible combinations of transmitted symbols for which the Euclidean distance is minimized.
According to a further aspect of the invention, a transmitter for transmitting data via a channel is provided. The transmitter includes an encoder configured to encode data to be transmitted; a demultiplexer configured to receive encoded data from the encoder and to split the data into a plurality of data streams; a plurality of modulators each configured to receive a data stream from the demultiplexer and to modulate the received data stream for transmission via the channel; a combiner configured to receive a modulated data stream from each of the plurality of modulators and to coherently combine the modulated data streams prior to transmission, thereby generating one or more output signals; and one or more antenna configured to receive the output signal(s) from the combiner and to pass the output signal(s) into the channel, where the number of output signals is fewer than the number of modulated data streams.
The encoder may comprise a mapping unit configured to map a plurality of sequential data bits onto a plurality of complex-valued data symbols, and a coordinate rotator configured to rotate the complex-valued data symbols. The mapping unit may be configured to use trellis coded modulation or another forward error correction mapping scheme. The complex-valued data symbols may be symbols in a quadrature amplitude modulation constellation.
A plurality of coordinate interleavers may also be provided, each coordinate interleaver configured to receive one of the plurality of data streams from the demultiplexer, to coordinate interleave the received data stream, and to provide interleaved data to one of the modulators.
The modulators may be configured to implement orthogonal frequency division multiplexing modulation. The modulators may be further configured to insert training data into the modulated data stream. The training data may comprise a plurality of orthogonal training symbols.
The combiner may comprise a scaler configured to receive a first modulated signal from a first one of the plurality of modulators and to scale the first signal by a constant scaling factor; and an adder configured to receive the scaled first signal from the scaler and a second signal from a second one of the plurality of modulators, and further configured to add the scaled first signal and the second signal, thereby generating an output signal.
According to a still further aspect of the invention, a receiver for receiving a transmitted signal comprising a plurality of data streams transmitted in parallel via a channel is provided. The receiver comprises an antenna configured to receive the transmitted signal from the channel; a demodulator configured to demodulate the received signal, the demodulator further configured to generate a channel estimate corresponding to each of the plurality of data streams; a metric generator configured to receive the demodulated signals and the channel estimates from the demodulator and to generate a plurality of metrics therefrom; and a decoder configured to receive the plurality of metrics and produce an estimate of the transmitted signal.
The demodulator may be configured to perform orthogonal frequency division multiplexing demodulation. The demodulator may also be configured to generate each channel estimate from training data included in the transmitted signal.
The metric generator may be configured to generate metrics based on a Euclidean distance from a first complex-valued point representing the demodulated signal to a second complex-valued point representing a possible combination of transmitted signals.
One advantage of a degenerate MIMO node is that it can be produced at a lower cost relative to a multi-antenna MIMO node because the degenerate node would require fewer antennas (and their attendant circuitry).
The following detailed description together with the accompanying drawings will provide a better understanding of the nature and advantages of the present invention.
The present invention provides MIMO modulation in a wireless network wherein one or more nodes can be a degenerate node, without requiring modification of nondegenerate nodes. In accordance with an embodiment of the present invention, a transmitter separates data into multiple streams for modulation. To transmit the modulated data, the transmitter uses a separate antenna for each data stream, coherently combines the modulated data streams prior to transmission via a single antenna or coherently combines some of the data streams to result in more than one output signal, but fewer than the number of data streams. A receiver is configured to operate as if it were receiving multiple signals from multiple transmit antennas; thus, the operation of the receiver is unaffected by whether the multiple data streams of the transmitter were combined in the channel (i.e., after transmission) or in the transmitter prior to transmission.
Receiver 150 receives a first signal via antenna 160a and a second signal via antenna 160b. It is to be appreciated that the signal received by antenna 160a may be a combination of the two signals sent by antennas 110a and 110b, and the signal received by antenna 160b may be a combination of the two signals sent by antennas 110a and 110b, as indicated by the arrows between the respective antennas; that is, the two transmitted signals are combined in the channel. Typically, the signals received by antennas 160a, 160b are expected to be different in some way. Receiver 150 includes an estimator unit 155 that decombines the two signals in order to estimate the transmitted data sequence. In the most general case, each receiver antenna receives signals from each transmitter antenna with each path between a given transmitter antenna and a given receiver antenna after being transformed by the channel characteristics associated with that pair. Typically, the receiver antenna receives an additive combination of multiple transmitted signals, one per transmit antenna. In some cases, due to signal blockage, cancellation by reflections, or other causes, the received signal could contain zero contribution from one or more transmitted antenna.
In
According to the present invention, a common protocol may be provided for communication between any of the four transmitter-receiver pairs shown in
The transmitter 100, 120 receives a data sequence from a data source (not shown). The data sequence is encoded by a forward error correction (FEC) encoder 202. In an exemplary embodiment, FEC encoder 202 uses trellis coded modulation (TCM), a known modulation and forward-error-correction method, to map 9 data bits onto two consecutive symbols in a 64-point quadrature amplitude modulation (64QAM) constellation, thereby providing a data throughput of 108 Mbps. The exact TCM code to be used is not restricted; in general, codes with 32-128 states based on known Ungerboeck codes may be used.
Optionally, the 64QAM symbols may be rotated by FEC encoder 202 so that the real and imaginary components of the resulting symbols have distinct coordinates; standard constellation rotation techniques may be employed. Constellation rotation allows every symbol in the constellation to be uniquely identified based on either the real or imaginary component.
In alternative embodiments, different encoding schemes, constellations, and/or mappings may be selected. For instance, every four data bits may be mapped onto one 32Cross symbol, where 32Cross is a well-known constellation related to QAM constellations, providing a data throughput of 96 Mbps. In another example, FEC encoder 202 may apply bit-interleaved convolutional coding followed by QAM mapping. Other encoding schemes and symbol constellations will be apparent to one skilled in the art in view of the present disclosure.
The real and imaginary parts of the encoded data symbols are optionally coordinate interleaved using independent interleavers 211, 212. Interleavers 211, 212 may be implemented as standard interleavers of either the pseudorandom or periodic type, with each interleaver 211, 212 initialized to a different value. Coordinate interleaving results in the real and imaginary components of a symbol being transmitted by different carriers. Used in conjunction with constellation rotation (which may be performed by FEC encoder 202 as described above), coordinate interleaving increases the diversity order of the system by providing additional redundancy. Specifically, if the signal from one carrier is not received (due to channel fading), only one of the real and imaginary coordinates of a symbol is lost. The symbol may still be determined based on the other coordinate, which is received from a different carrier that has different fading properties. In an alternative embodiment, where the additional redundancy provided by coordinate interleaving is not desired, interleavers 211, 212 may be omitted.
The interleaved data is passed to a demultiplexer 204, which splits the data stream into multiple streams. In the exemplary embodiment of
Each data stream is provided to one of a number of orthogonal frequency division multiplexing (OFDM) modulators 221, 222. Each of OFDM modulators 221, 222, which may be implemented using standard components, performs OFDM modulation using an inverse fast Fourier transform (IFFT), thereby providing a time-domain signal suitable for feeding to an antenna.
In the case of transmitter 100, two antennas 110a, 110b are present. OFDM modulator 221 feeds its output signal to antenna 110a while OFDM modulator 222 feeds its output signal to antenna 110b. In the case of transmitter 120, however, only one antenna 110a is present. Combiner 215 coherently combines the respective outputs of the OFDM modulators 221, 222, feeding the combined output to antenna 110a. In the embodiment shown, combiner 215 includes a scaler 232 and an adder 234. Scaler 232 scales the output of OFDM modulator 221 by a constant scaling factor c. Adder 234 adds the output of scaler 232 to the output of OFDM modulator 222. The value of the scaling factor c is chosen to minimize packet error rate; a value of ½″ (e.g., 1, ½, ¼, ⅛) is easily implemented as a bit shift.
It will be appreciated that other scaling factors may also be used. For instance, any complex-valued scaling factor may be used, thereby rotating (instead of or in addition to scaling) the constellation of one data stream relative to the other. In some embodiments, e.g., where coordinate interleaving is not used, a complex-valued scaling factor may improve performance by somewhat increasing the diversity order of the degenerate channel. In another alternative embodiment, both streams are scaled by different (real or complex) scaling factors prior to adding.
In yet another alternative embodiment, the scaling factor c (which may be real or complex) is not a constant but varies with the subcarrier frequency. Frequency-dependent rotation and/or scaling could be implemented, for instance, to maximize performance on a channel in embodiments where the channel response is known at the transmitter. Although such rotation and/or scaling could be performed after modulation by using a filter with a tunable phase and amplitude response in place of scaler 232, a simpler approach is to provide a scaler prior to each modulator that performs the appropriate rotation and/or scaling. The selection of frequency-dependent scaling factors depends in part on the structure of training data that are included in the transmitted data stream, as described below.
It is to be noted that signals received from non-degenerate transmitter 100 and from degenerate transmitter 120 should differ only in where the combination of the output signals from OFDM modulators 221, 222 occurs. For transmitter 100, the output signals are combined in the channel after transmission; for transmitter 120, the output signals are combined in the transmitter prior to entering the channel. From the receiver perspective, this difference is irrelevant to decombining the signals; thus, non-degenerate transmitter 100 and degenerate transmitter 120 are equally capable of communicating with a receiver capable of decombining the signals.
In addition to the data provided by the data source, transmitter 100 or transmitter 120 also sends training data for use by the receiver in estimating channel effects and decombining signals. In general, the training data comprises a sequence of symbols known to the receiver; by comparing the received training signals with the known input sequence, the receiver is able to estimate the channel effects. In the case of transmitter 100, the training data is provided via both antennas 110a, 110b because the channel effects on signals from each antenna are generally different. In the exemplary embodiment shown in
In the case of frequency-dependent rotation and/or scaling, the structure of the training data should affect the selection of rotation and/or scaling factors. For instance, if modulator 221 provides training data only for odd tones, the receiver will estimate the channel response of the channel associated with modulator 221 at the even tones by interpolating between pairs of adjacent odd tones. In this case, the frequency response of the rotation and/or scaling should be smooth so that the interpolation will be accurate.
Turning now to the receivers,
Antenna 160a receives a signal sent by a transmitter, which may be non-degenerate (e.g., transmitter 100), fully degenerate (e.g., transmitter 120) or partially degenerate. In either case, the received signal is a combination of signals from two independently. OFDM-modulated data streams, as described above with regard to
For each antenna, the receiver 150, 160 has a corresponding OFDM demodulator. Thus, receiver 150 has a first OFDM demodulator 311 coupled to antenna 160a and a second OFDM demodulator 312 coupled to antenna 160b; receiver 170 has only one OFDM demodulator 311 coupled to antenna 160a. OFDM demodulator 311, which may be implemented using standard components, converts the received time-domain signal from antenna 160a to a frequency-domain signal r1; likewise, OFDM demodulator 312 (in receiver 150 only) converts the received time domain signal from antenna 160b to a frequency-domain signal r2.
Each OFDM demodulator 311, 312 also performs channel estimation using the training symbols included with the data. A channel estimate, generally represented as a complex number hi for a channel i, must be determined for each transmit/receive pair, on the assumption that two transmit antennas were used. In general, for a known input symbol pair (z1, z2) transmitted by two independent transmitters, channel estimates for the two channels are obtained from the formula r1=h1z1+h2z2. If the training symbols are orthogonal, then h1 and h2 can be easily determined. Thus, in receiver 150, OFDM demodulator 311 determines two channel estimates (h11, h12) for signals received via antenna 160a, and OFDM demodulator 312 determines two channel estimates (h21, h22) for signals received via antenna 160b. In receiver 170, OFDM demodulator 311 determines two channel estimates (h1, h2) for signals received via antenna 160a. Regardless of whether one or two transmit antennas were used to send the signal, each of OFDM demodulators 311, 312 will be able to generate two channel estimates as long as the transmitted signal includes at least two orthogonal training symbols. A number of ways of providing orthogonal training symbols are known in the art; for instance, standard MIMO training sequences and corresponding techniques for generating channel estimates may be used.
It is to be noted that if only one transmit antenna was used, the two channel estimates computed by a particular demodulator will generally be related; for instance, for signals received from transmitter 120, one of the channel estimates will be approximately c times the other, where c is the scaling factor described above. Since there is channel training data in each stream, the relationship between the two streams can be determined during channel estimation. However, any such relationship between the channel estimates may be ignored by the receiver, and the receiver need not have knowledge of the value of c.
In the case of receiver 150, the demodulated (frequency-domain) signals (r1, r2) and the channel estimates (h11, h12, h21, h22) from OFDM demodulators 311, 312 are passed to a metric generator 321. Metric generator 321 uses the channel estimates and the demodulated signals provided by OFDM demodulators 311, 312 to generate two metrics. Two metrics are preferred because each tone is a function of two transmit symbol streams, combined either in the channel (in the case of transmitter 100) or by the transmitter (in the case of transmitter 120). One method of metric generation uses the minimum Euclidean distance to the most probable transmitted symbol pair (x1, x2):
where R is the vector (r1, r2) of received signals, H is the 2×2 matrix of channel estimates, X is the vector (x1, x2) of transmitted symbols, and Λ is a noise and interference covariance matrix. The minimum is taken over all possible pairs (x1, x2). Generation of the metric may proceed according to standard MIMO techniques. The matrix Λ may be generated using known methods of interference estimation. In some embodiments, the interference matrix is not generated, in which case Λ is set equal to the identity matrix, and the expression for the minimum Euclidean distance reduces to:
In the case of receiver 170, the demodulated signals (r1) and channel estimates (h1, h2) from OFDM demodulator 311 are passed to a metric generator 322. Like metric generator 321, metric generator 322 uses the channel estimates and the demodulated signals provided by OFDM demodulator 311 to generate two metrics. For example, metric generator 322 may use the same Euclidean distance algorithm as metric generator 321, the only difference being that R is a 1×1 vector and H is a 1×2 matrix.
The metrics generated by metric generator 321 or 322 are passed to an FEC decoder 331, which decodes the symbol streams. FEC decoder 331 may be implemented using standard components and algorithms matched to the encoding scheme used by the transmitter. In general, FEC decoder 331 may also perform a deinterleaving function to remove the effects of interleaving in the transmitter; examples of such functions are known in the art. FEC decoder 331 thus provides an estimate of the original data sequence to downstream components (not shown). FEC decoder 331 may be implemented using standard techniques and components.
Thus, in the embodiments described above, a MIMO network is supported in which either a transmitter or a receiver (or both) may be fully degenerate (i.e., have just one antenna). The same MIMO modulation format is used for data transmission in any case. In a non-degenerate system (e.g.,
It should be understood that a transmitter or receiver could have more than one antenna and still be considered a degenerate node. For example, a partially degenerate transmitter 400 for a 5-transmit MIMO network is shown in
The combiners 420, 425 of a partially degenerate node, typically one per output signal can apply different values of the scaling factor to different streams. For instance, the scaling factors c1, c2, c3 indicated in
While the invention has been described with respect to exemplary embodiments, one skilled in the art will recognize that numerous modifications are possible. For example, while the networks described herein are based on two-transmit/two-receive MIMO systems with one or more degenerate nodes, one skilled in the art will be able to generalize to n-transmit/n-receive MIMO systems for an arbitrary integer n with one or more fully degenerate (i.e., one-transmit and/or one-receive) nodes and/or one or more partially degenerate nodes (i.e., fewer antennas than modulated data streams). Moreover, the foregoing disclosure may be used to implement a combined transmitter/receiver unit, in which one or more components are configured to perform both transmit and receive functions.
The present invention may also be implemented in a network wherein the transmitter and receiver are able to associate—i.e., where the transmitter and/or receiver is able to obtain information as to the other's antenna configuration. For instance, a two-antenna transmitter may be implemented to use MIMO modulation as described above when it has not determined the receiver's configuration, and to switch to a beam-forming modulation when it has determined that the receiver has only one antenna. Where transmitter antenna configuration is available, a metric generator might use that information to limit a search process, e.g., by constraining channel estimates to be equal when it is known that the streams were combined prior to the channel.
In addition, the various components described herein may be implemented using digital signal processors singly or in combination, or any other combination of hardware and/or software components.
Thus, although the invention has been described with respect to exemplary embodiments, it will be appreciated that the invention is intended to cover all modifications and equivalents within the scope of the following claims.
This application is a continuation of application Ser. No. 10/143,213, filed May 9, 2002 now abandoned, which disclosure is incorporated herein by reference for all purposes.
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