The invention relates to receivers for transmission links, in base stations or mobile terminals of radio transmission links, and to corresponding software and methods, for carrying out blind transport format detection.
It is known to provide transport services for data over a transmission link using various telecommunication protocols. One such set of protocols, known as UMTS, is the European proposal for a third generation (3G) cellular network. It is inter-operable with the existing GSM network, and is notable for providing high speed packet-switched data transmission. UMTS transmission protocols are defined in a series of standards developed by the Third Generation Protocol Partnership (3GPP). These standards define a number of layers for the transmissions, broadly in line with the well known ISO seven layer definition. There is a physical layer, L1, a data link layer, L2, and a network layer L3. Layer 2 of this UMTS protocol stack includes procedures for handling data from or to a MAC (Medium Access Control) and higher layers. The data in the form of Transport blocks or sets of Transport blocks is encoded/decoded to offer transport services over a radio transmission link. A channel coding scheme provides a combination of error detection, error correcting, rate matching, interleaving and transport channels mapping onto/splitting from physical channels.
At a receiver, it is necessary to identify a channel format and decode the overhead and payload in the data to enable these functions of the coding scheme to operate. Suitable coding schemes are described in detail in the 3GPP standard 25.212 to which the reader is referred. One of the schemes for the receiver, described in this document, is blind transport format detection (BTFD). This is a scheme for detecting the format of the transport channels and in particular detecting a finish of a block of data for one channel. It makes use of the fact that the block is terminated by an error detection code, in this case a CRC (Cyclic Redundancy Check) code. The scheme uses this to test whether a given sequence of bits in the data stream could be a CRC code, for a block of data bits preceding the CRC bits. For different channel formats, the length of the block may differ. It may be coded in various ways including convolution coding.
Explicit blind transport format detection involves performing the recursive add-compare-select process of a trellis decode over the maximum Transport Format (TF) length, storing trace-back information as one goes. This is followed by a series of speculative trace-backs and subsequent CRC checks starting from each position where a potential transport format could have terminated. This is summarised in
It is an object of the invention to provide an improved blind transport format detection method or apparatus for the same.
A first aspect of the invention provides a receiver for a transmission link, the link using different transport formats for blocks of data, and using convolutional coding with additional error detection code information, for transmitting the blocks to the receiver, the receiver having:
a decoder for performing a trellis decode and tracebacks of one of the received coded blocks, to produce decoded data candidates,
By prioritising according to probability, rather than according to length of traceback, a valid candidate is likely to be found more quickly, and thus the transport format is likely to be found more quickly. Also, in many applications there is no need to continue once a valid candidate is found. Hence the number of unnecessary calculations involved in tracebacks and error detections can be reduced. This is significant, since tracebacks and CRC error detection calculations are relatively computationally intensive. This is particularly valuable commercially for receivers in mobile equipment for radio links, such as handsets for cellular networks, where calculation uses power and power consumption limits battery life.
The prioritisation may be of both the traceback and the error detection. It may be used at a base station receiver or a mobile receiver. The trellis decode is preferably carried out over a maximum length of a block. Preferably the error detection code is a CRC code. Preferably there is a limit to the number of speculative tracebacks and error detections carried out, after which a false detection event is indicated. Preferably the probability is determined from a comparison of the all zero state metric with other metrics at the same point in the trellis. Preferably the link uses fixed transport channel start points. Preferably the receiver is UMTS 3GPP compliant equipment.
According to other aspects, there is provided a corresponding base station, and corresponding methods and software. Other advantages will be apparent to those skilled in the art. Preferred features may be combined with other aspects of the invention.
Embodiments will now be described by way of example with reference to the drawings in which:
For ease of explanation of the embodiments of the invention, the implementation of BTFD known from the above referenced 3GPP standard will be described in more detail with reference to
At the transmitter, the data stream with variable number of bits from higher layers is block-encoded using a cyclic redundancy check (CRC) and then convolutionally encoded. CRC parity bits are attached just after the data stream with variable number of bits as shown in
The receiver knows only the possible transport formats (or the possible end bit position {nend}) by Layer-3 negotiation. The receiver performs Viterbi-decoding on the soft decision sample sequence. The correct trellis path of the Viterbi-decoder ends at the zero state at the correct end bit position. The blind transport format detection method using CRC traces back the surviving trellis path ending at the zero state (hypothetical trellis path) at each possible end bit position to recover the data sequence. For each recovered data sequence error-detection is performed by checking the CRC, and if there is no error, the recovered sequence is declared to be correct.
The following variable is defined:
where nend is the current bit position within the trellis (the potential transport format end position). α1(k) is the surviving trellis metric of the l-th state at the k-th position in the trellis and hence α0(nend) is the surviving trellis metric of the zeroth-state at the nend-th position in the trellis, αmin (nend) is the minimum surviving trellis metric over all states at the nend-th position in the trellis and αmax (nend) is the maximum surviving trellis metric over all states at the nend-th position in the trellis. In order to reduce the probability of false detection (this happens if the selected path is wrong but the CRC misses the error detection), a path selection threshold D is introduced. The threshold D determines whether the hypothetical trellis path connected to the zero state should be traced back or not at each end bit position nend. If the hypothetical trellis path connected to the zero state that satisfies:
s(nend)≦D Equation (2)
is found, the path is traced back to recover the frame data, where D is the path selection threshold and a design parameter. If more than one end bit positions satisfying Eq. 2 is found, the end bit position which has minimum value of s(nend) is declared to be correct. If no path satisfying Eq. 2 is found even after all possible end bit positions have been exhausted, the received frame data is declared to be in error.
The 3GPP standard sets out that for the uplink, blind transport format detection is a network controlled option. For the downlink, the receiver shall be capable of performing blind transport format detection, if certain restrictions on the configured transport channels are fulfilled:
The reason equation 1 is useful is that convolutional codes are generally terminated codes which means that after the encoding process has completed the state within the encoder must have been brought back to the all zero state. Hence, by looking at the size of the all zero state metric compared to the other metrics at the same point in the trellis one can get a good indication of the probability that the corresponding decoder was brought to the all zero state at that point. This in turn could signify a potential end of transport format position.
The reason for the need to improve the probability of false detection is that checking CRC words alone will only produce a probability of false detection of the order of FDR≈2−n where n is the CRC word length. For example in the 3GPP conformance testing specifications a False transmit format Detection Ratio (FDR) of 10−4 is specified for tests involving BTFD with a CRC length of n=12, giving an FDR based solely on CRC checks of ≈2×10−4. This clearly implies the need for at least a five-fold improvement on decoding followed by a CRC check to achieve the required performance. It is unlikely, however, that s(nend) is needed to be calculated in dB's and a linear ratio will suffice.
The embodiment of the invention set out in
This is a change of the algorithm proposed in the above referenced 3GPP standard that suggests speculating TFs to check in order of smallest to the largest. Doing the speculating in a probabilistic order rather than smallest to the largest can improve the power consumption since it reduces the number of unnecessary TFs to try.
There is the further possibility of reducing the number of tracebacks and CRC checks to perform by picking speculative transport formats corresponding to the m largest probabilistic measures rather than all of them. Depending on signal-to-noise ratio and channel quality m may vary. In a typical application m=3 should provide sufficient coverage for this. If none of the top m transport formats pass their CRC then BTFD ends with a false detention event. This will again save on both power and latency in performing BTFD.
Number | Date | Country | Kind |
---|---|---|---|
0211844.6 | May 2002 | GB | national |
Filing Document | Filing Date | Country | Kind | 371c Date |
---|---|---|---|---|
PCT/GB03/02174 | 5/20/2003 | WO | 12/26/2005 |