Opportunistic interference alignment for MIMO IMAC: Effect of user scaling over degrees-of-freedom

Hyun Jong Yang, Won Yong Shin, Bang Chul Jung, Arogyaswami Paulraj

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

We consider a new opportunistic interference alignment (OIA) for the K-cell multiple-input multiple-output (MIMO) interfering multiple-access channel (IMAC) with timeinvariant channel coefficients, where each cell consists of a base station (BS) with M antennas and N mobile stations (MSs) having L antennas each. In this paper, we propose three OIA techniques: antenna selection-based OIA, singular value decomposition (SVD)-based OIA, and vector-quantized (codebook-based) OIA. Then, their performance is analyzed in terms of user scaling law required to achieve KS degrees-of-freedom (DoF), where S(≤ M) denotes the number of simultaneously transmitting MSs per cell. As our main result, it is shown that the antenna selection-based OIA does not fundamentally change the user scaling required to achieve KS DoF if L is fixed, compared with the single-input multiple-output (SIMO) IMAC case. In contrast, it is shown that the SVD-based OIA can greatly reduce the required user scaling to SNR (K-1) S-L-1 through optimizing weight vectors at each MS. Furthermore, we show that the vector-quantized OIA can achieve the same user scaling as the SVD-based OIA case if the codebook size is beyond a certain value. For the vector-quantized OIA, we analyze a fundamental tradeoff between the quantization level (i.e., codebook size) and the required user scaling.

Original languageEnglish
Title of host publication2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012
Pages2636-2640
Number of pages5
DOIs
Publication statusPublished - 2012 Oct 22
Event2012 IEEE International Symposium on Information Theory, ISIT 2012 - Cambridge, MA, United States
Duration: 2012 Jul 12012 Jul 6

Publication series

NameIEEE International Symposium on Information Theory - Proceedings

Other

Other2012 IEEE International Symposium on Information Theory, ISIT 2012
CountryUnited States
CityCambridge, MA
Period12/7/112/7/6

Fingerprint

Multiple Access Channel
Multiple-input multiple-output (MIMO)
Alignment
Interference
Degree of freedom
Scaling
Codebook
Singular value decomposition
Antennas
Antenna Selection
Antenna
Cell
Scaling laws
Scaling Laws
Base stations
Quantization
Trade-offs
Denote

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modelling and Simulation
  • Applied Mathematics

Cite this

Yang, H. J., Shin, W. Y., Jung, B. C., & Paulraj, A. (2012). Opportunistic interference alignment for MIMO IMAC: Effect of user scaling over degrees-of-freedom. In 2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012 (pp. 2636-2640). [6283996] (IEEE International Symposium on Information Theory - Proceedings). https://doi.org/10.1109/ISIT.2012.6283996
Yang, Hyun Jong ; Shin, Won Yong ; Jung, Bang Chul ; Paulraj, Arogyaswami. / Opportunistic interference alignment for MIMO IMAC : Effect of user scaling over degrees-of-freedom. 2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012. 2012. pp. 2636-2640 (IEEE International Symposium on Information Theory - Proceedings).
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abstract = "We consider a new opportunistic interference alignment (OIA) for the K-cell multiple-input multiple-output (MIMO) interfering multiple-access channel (IMAC) with timeinvariant channel coefficients, where each cell consists of a base station (BS) with M antennas and N mobile stations (MSs) having L antennas each. In this paper, we propose three OIA techniques: antenna selection-based OIA, singular value decomposition (SVD)-based OIA, and vector-quantized (codebook-based) OIA. Then, their performance is analyzed in terms of user scaling law required to achieve KS degrees-of-freedom (DoF), where S(≤ M) denotes the number of simultaneously transmitting MSs per cell. As our main result, it is shown that the antenna selection-based OIA does not fundamentally change the user scaling required to achieve KS DoF if L is fixed, compared with the single-input multiple-output (SIMO) IMAC case. In contrast, it is shown that the SVD-based OIA can greatly reduce the required user scaling to SNR (K-1) S-L-1 through optimizing weight vectors at each MS. Furthermore, we show that the vector-quantized OIA can achieve the same user scaling as the SVD-based OIA case if the codebook size is beyond a certain value. For the vector-quantized OIA, we analyze a fundamental tradeoff between the quantization level (i.e., codebook size) and the required user scaling.",
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Yang, HJ, Shin, WY, Jung, BC & Paulraj, A 2012, Opportunistic interference alignment for MIMO IMAC: Effect of user scaling over degrees-of-freedom. in 2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012., 6283996, IEEE International Symposium on Information Theory - Proceedings, pp. 2636-2640, 2012 IEEE International Symposium on Information Theory, ISIT 2012, Cambridge, MA, United States, 12/7/1. https://doi.org/10.1109/ISIT.2012.6283996

Opportunistic interference alignment for MIMO IMAC : Effect of user scaling over degrees-of-freedom. / Yang, Hyun Jong; Shin, Won Yong; Jung, Bang Chul; Paulraj, Arogyaswami.

2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012. 2012. p. 2636-2640 6283996 (IEEE International Symposium on Information Theory - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - We consider a new opportunistic interference alignment (OIA) for the K-cell multiple-input multiple-output (MIMO) interfering multiple-access channel (IMAC) with timeinvariant channel coefficients, where each cell consists of a base station (BS) with M antennas and N mobile stations (MSs) having L antennas each. In this paper, we propose three OIA techniques: antenna selection-based OIA, singular value decomposition (SVD)-based OIA, and vector-quantized (codebook-based) OIA. Then, their performance is analyzed in terms of user scaling law required to achieve KS degrees-of-freedom (DoF), where S(≤ M) denotes the number of simultaneously transmitting MSs per cell. As our main result, it is shown that the antenna selection-based OIA does not fundamentally change the user scaling required to achieve KS DoF if L is fixed, compared with the single-input multiple-output (SIMO) IMAC case. In contrast, it is shown that the SVD-based OIA can greatly reduce the required user scaling to SNR (K-1) S-L-1 through optimizing weight vectors at each MS. Furthermore, we show that the vector-quantized OIA can achieve the same user scaling as the SVD-based OIA case if the codebook size is beyond a certain value. For the vector-quantized OIA, we analyze a fundamental tradeoff between the quantization level (i.e., codebook size) and the required user scaling.

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Yang HJ, Shin WY, Jung BC, Paulraj A. Opportunistic interference alignment for MIMO IMAC: Effect of user scaling over degrees-of-freedom. In 2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012. 2012. p. 2636-2640. 6283996. (IEEE International Symposium on Information Theory - Proceedings). https://doi.org/10.1109/ISIT.2012.6283996