Sum discrete-rate maximization with rate and power control in layered space-time coding
This paper generalizes the information-theoretic optimality of minimum mean square error successive interference cancellation in layered space-time coding with rate and power control. Based on this derivation, a new concept relying on partial feedback is introduced, whose core idea is to exploit an...
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| Vydáno v: | IEEE transactions on communications Ročník 57; číslo 3; s. 789 - 800 |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York, NY
IEEE
01.03.2009
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 0090-6778, 1558-0857 |
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| Abstract | This paper generalizes the information-theoretic optimality of minimum mean square error successive interference cancellation in layered space-time coding with rate and power control. Based on this derivation, a new concept relying on partial feedback is introduced, whose core idea is to exploit an additional degree of freedom relative to the partitioning of transmit antennas. Taking into account this additional degree of freedom, together with power control and decoding order, allows the reduction of the quantization noise induced by the use of finite discrete-rate sets at the transmitter. However, the simultaneous optimization of all those degrees of freedom proves to be computationally intensive and would result in a tremendous feedback load. Practical algorithms are thus proposed to achieve this optimization with a reasonable complexity and a limited amount of feedback. Monte-Carlo simulations show that those algorithms perform close to the theoretical limits. |
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| AbstractList | This paper generalizes the information-theoretic optimality of minimum mean square error successive interference cancellation in layered space-time coding with rate and power control. Based on this derivation, a new concept relying on partial feedback is introduced, whose core idea is to exploit an additional degree of freedom relative to the partitioning of transmit antennas. Taking into account this additional degree of freedom, together with power control and decoding order, allows the reduction of the quantization noise induced by the use of finite discrete-rate sets at the transmitter. However, the simultaneous optimization of all those degrees of freedom proves to be computationally intensive and would result in a tremendous feedback load. Practical algorithms are thus proposed to achieve this optimization with a reasonable complexity and a limited amount of feedback. Monte-Carlo simulations show that those algorithms perform close to the theoretical limits. |
| Author | Visoz, R. Berthet, A. Layec, P. |
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| Keywords | Space-time codes Partition method Noise reduction Information rate Transmitter Optimization Mean square error Traffic control MIMO system Monte Carlo method Flow rate regulation Teletraffic Decoding Algorithm Information transmission Information rates Quantization noise Interference suppression MIMO systems Transmitting antenna Power control Traffic management Signal processing Numerical simulation Reduced order model sum rate optimization Information theory partial feedback |
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| SubjectTerms | Algorithms Antenna accessories Antenna feeds Antennas Applied sciences Coding, codes Computer Science Control systems Control theory Decoding Degrees of freedom Detection, estimation, filtering, equalization, prediction Exact sciences and technology Feedback Information rates Information Theory Information, signal and communications theory Interference cancellation Mathematical analysis Mathematics Mean square error methods MIMO systems Noise reduction Optimization partial feedback Power control Quantization Radiocommunications Signal and communications theory Signal, noise sum rate optimization Telecommunications Telecommunications and information theory Transmitting antennas |
| Title | Sum discrete-rate maximization with rate and power control in layered space-time coding |
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