Hierarchical and adaptive multi-carrier digital modulation and demodulation
View Patent ↗In an embodiment the method includes, at a transmit side, grouping carriers into carrier groups, and selecting a group constellation diagram for modulation of the carriers of a given carrier group. The selected group constellation diagram is built as a hierarchical sum of I super-imposed constellations vectors having predefined decreasing powers with the P strongest and the Q weakest constellation vectors being omitted. The carriers of the carrier group are modulated by means of the selected group constellation diagram, and P and/or Q parameters per carrier group and per multi-carrier data symbol are adjusted.
1. A method for encoding a binary stream into multi-carrier data symbols, the method comprising:
grouping a plurality of carriers into a plurality of carrier groups, each of the plurality of carrier groups including a separate selection of the plurality of carriers; and
iteratively performing, for each carrier group of the plurality of carrier groups,
for a given carrier group including N carriers, selecting a group constellation diagram for modulation of the N carriers of the given carrier group, the selected group constellation diagram including constellation points defined as respective hierarchical sums of I super-imposed constellation vectors having predefined decreasing powers with the P strongest constellation vectors and the Q weakest constellation vectors being omitted, P being a positive integer parameter, Q being a positive integer parameter, and I being a positive integer value that determines a maximum constellation size; and
mapping N binary words for the respective N carriers of the given carrier group onto N respective constellation points of the selected group constellation diagram, with the P and Q parameters remaining unchanged for the given carrier group and being adjusted to their optimal value per carrier group and per multi-carrier data symbol.
2. The method according to claim 1 , wherein the P parameter is adjusted according to a power budget criterion.
3. The method according to claim 1 , wherein the Q parameter is adjusted according to a noise criterion.
4. The method according to claim 1 , wherein the Q parameter is adjusted according to acknowledgment information from a peer receiver.
5. The method according to claim 1 , wherein at least one parameter of the P and Q parameters is adjusted according to a Quality of Service QoS criterion.
6. The method according to claim 1 , wherein at least one parameter of the P and Q parameters is adjusted according to outgoing traffic demand.
7. The method according to claim 1 , wherein the I super-imposed constellation vectors are 4-QAM vectors.
8. The method according to claim 1 , wherein carrier transmit powers are individually shaped in accordance with a transmit power spectral mask and/or are individually fine-tuned according to respective relative carrier gains.
9. The method according to claim 1 , further comprising:
scrambling the binary stream prior to mapping the N binary words onto the N respective constellation points.
10. A method for blindly decoding a binary stream from multi-carrier data symbols, and comprising, at a receive side:
grouping a plurality of carriers into a plurality of carrier groups, each of the plurality of carrier groups including a separate selection of the plurality of carriers;
iteratively performing, for each carrier group of the plurality of carrier groups,
for a given carrier group including N carriers, selecting a group constellation diagram for demodulation of the N carriers of the given carrier group by statistical characterization of the N carriers or part thereof, the selected group constellation diagram including constellation points defined as respective hierarchical sums of I super-imposed constellation vectors having decreasing powers with the P strongest constellation vectors and the Q weakest constellation vectors being omitted, P being a positive integer parameter, Q being a positive integer parameter, I being a positive integer value that determines a maximum constellation size; and
de-mapping the respective N carriers of the given carrier group into N respective binary words based on the selected group constellation diagram, with the P and Q parameters remaining unchanged for the given carrier group and being re-evaluated per carrier group and per multi-carrier data symbol.
11. The method according to claim 10 , further comprising:
evaluating at least one parameter of the P and Q parameters by statistical characterization of at least one of a power distribution or amplitude distribution of at least a portion of the N carriers.
12. The method according to claims 10 , wherein the I super-imposed constellation vectors are 4-QAM vectors.
13. A transmitter comprising:
a processor configured to,
group a plurality of carriers into a plurality of carrier groups, each of the plurality of carrier groups including a separate selection of the plurality of carriers;
iteratively perform, for each carrier group of the plurality of carrier groups,
for a given carrier group including N carriers, select a group constellation diagram for modulation of the N carriers of the given carrier group, the selected group constellation diagram including constellation points defined as respective hierarchical sums of I super-imposed constellation vectors having decreasing powers with the P strongest constellation vectors and the Q weakest constellation vectors being omitted, P being a positive integer parameter, Q being a positive integer parameter, and I being a positive integer value that determines a maximum constellation size; and
map N binary words for respective N carriers of the given carrier group onto N respective constellation points of the selected constellation diagram, with the P and Q parameters remaining unchanged for the given carrier group and being adjusted to their optimal value per carrier group and per multi-carrier data symbol.
14. A receiver comprising:
a processor configured to,
group a plurality of carriers into a plurality of carrier groups, each of the plurality of carrier groups including a separate selection of the plurality of carriers;
iteratively perform, for each carrier group of the plurality of carrier groups,
for a given carrier group including N carriers, select a group constellation diagram for demodulation of the N carriers of the given carrier group by statistical characterization of the N carriers or part thereof, the selected group constellation diagram including constellation points defined as respective hierarchical sums of I super-imposed constellation vectors having decreasing powers with the P strongest constellation vectors and the Q weakest constellation vectors being omitted, P being a positive integer parameter, Q being a positive integer parameter, I being a positive integer value that determines a maximum constellation size; and
de-map the respective N carriers of the given carrier group into N respective binary words based on the selected group constellation diagram, with the P and Q parameters remaining unchanged for the given carrier group and being re-evaluated per carrier group and per multi-carrier data symbol.