Quantum optimization for multiple input and multiple output (MIMO) processing
Systems and methods herein provide for Multi-Input/Multi-Output (MIMO) processing. In one embodiment, a MIMO system comprises a receiver operable to receive a plurality of spatially multiplexed data streams. The system also comprises a processor operable to embed a maximum likelihood (ML) detection algorithm onto a quantum annealer, and to decode the spatially multiplexed data streams via the embedded ML to detect data bits of a plurality of users.
1. A Multi-Input/Multi-Output (MIMO) processing system, comprising:
a receiver operable to receive a plurality of spatially multiplexed data streams; and
a processor operable to embed a maximum likelihood (ML) detection algorithm onto a quantum optimizer, and to decode the spatially multiplexed data streams via the embedded ML to detect data bits of a plurality of users.
2. The MIMO processing system of claim 1 , wherein:
the processor is further operable to reduce the ML detection algorithm to a Quadratic Unconstrained Binary Optimization (QUBO) form.
3. The MIMO processing system of claim 1 , wherein:
the processor is further operable to reduce the ML detection algorithm to an Ising form.
4. The MIMO processing system of claim 1 , wherein:
the processor is further operable to estimate a time to detect the data bits of the plurality of users based on a selectable bit error rate (BER).
5. The MIMO processing system of claim 4 , wherein:
the processor is further operable to estimate the time to detect the data bits based on at least one measurement of channel noise, machine noise, modulation order, user count, base station antenna count, or quantum device noise.
6. The MIMO processing system of claim 1 , wherein:
the receiver is configured with at least one of a Radio Access Network (RAN), a cloud RAN, a wireless access point, or an eNodeB.
7. The MIMO processing system of claim 1 , wherein:
the plurality of spatially multiplexed data streams comprises at least one of a bi-phase shift keyed modulation, a quadrature-phase shift keyed modulation, a quadrature amplitude modulation, or an orthogonal frequency division multiplexing scheme.
8. The MIMO processing system of claim 1 , wherein:
the quantum optimizer comprises at least one of a coherent optical machine, a complementary metal-oxide-semiconductor (CMOS) based digital annealer, a gate model quantum computer, or a superconducting based quantum annealer.
9. A Multi-Input/Multi-Output (MIMO) processing method, comprising:
embedding a maximum likelihood (ML) detection algorithm onto a quantum optimizer;
receiving a plurality of spatially multiplexed data streams; and
decoding the spatially multiplexed data streams via the embedded ML to detect data bits of a plurality of users.
10. The method of claim 9 , further comprising:
reducing the ML detection algorithm to a Quadratic Unconstrained Binary Optimization (QUBO) form.
11. The method of claim 9 , further comprising:
reducing the ML detection algorithm to an Ising form.
12. The method of claim 9 , further comprising:
estimating a time to detect the data bits of the plurality of users based on a selectable bit error rate (BER).
13. The method of claim 12 , further comprising:
estimating the time to detect the data bits based on at least one measurement of channel noise, machine noise, modulation order, user count, base station antenna count, or quantum device noise.
14. The method of claim 9 , wherein:
the method is operable with a receiver configured with at least one of a Radio Access Network (RAN), a cloud RAN, a wireless access point, or an eNodeB.
15. The method of claim 9 , wherein:
the plurality of spatially multiplexed data streams comprises at least one of a bi-phase shift keyed modulation, a quadrature-phase shift keyed modulation, a quadrature amplitude modulation, or an orthogonal frequency division multiplexing scheme.
16. A non-transitory computer readable medium comprising instructions that, when executed in a processor comprising a quantum optimizer, direct the processor to:
embed a maximum likelihood (ML) detection algorithm onto the quantum optimizer;
receive a plurality of spatially multiplexed Multi-Input/Multi-Output (MIMO) data streams; and
decode the spatially multiplexed MIMO data streams via the embedded ML to detect data bits of a plurality of users.
17. The computer readable medium of claim 16 , further comprising instructions that direct the processor to:
reduce the ML detection algorithm to a Quadratic Unconstrained Binary Optimization (QUBO) form.
18. The computer readable medium of claim 16 , further comprising instructions that direct the processor to:
reduce the ML detection algorithm to an Ising form.
19. The computer readable medium of claim 16 , further comprising instructions that direct the processor to:
estimate a time to detect the data bits of the plurality of users based on a selectable bit error rate (BER).
20. The computer readable medium of claim 19 , further comprising instructions that direct the processor to:
estimate the time to detect the data bits based on at least one measurement of channel noise, machine noise, modulation order, user count, base station antenna count, or quantum device noise.
21. The computer readable medium of claim 16 , wherein:
the processor is operable with a receiver configured with at least one of a Radio Access Network (RAN), a cloud RAN, a wireless access point, or an eNodeB.
22. The computer readable medium of claim 16 , wherein:
the plurality of spatially multiplexed data streams comprises at least one of a bi-phase shift keyed modulation, a quadrature-phase shift keyed modulation, a quadrature amplitude modulation, or an orthogonal frequency division multiplexing scheme.