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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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초록· 키워드
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In this paper, we focus on the potential of dual polarized antennas in mobile system. Thus, this paper designs exact dual polarized channel with Spatial Channel Model (SCM) and investigates the performance for certain environment.
Using proposed the channel model; we know estimates of the channel capacity as a function of cross polarization discrimination (XPD) and spatial fading correlation. It is important that the MIMO channel matrix consists of Kronecker product dividable spatial and polarized channel. Through the channel characteristics, we propose an algorithm for the adaptation of transmit antenna configuration to time varying propagation environments. The optimal active transmit antenna subset is determined with equal power allocated to the active transmit antennas, assuming no feedback information on types of the selected antennas.
We first consider a heuristic decision strategy in which the optimal active transmit antenna subset and its system capacity are determined such that the transmission data rate is maximized among all possible types. This paper then proposes singular values decision procedure consisting of Kronecker product with spatial and polarize channel. This method of singular value decision, which the first channel environments is determined using singular values of spatial channel part which is made of environment parameters and distance between antennas, level of correlation. Then we will select antenna which have various polarization type. After spatial channel structure is decided, we contact polarization types which have considerable cases
It is note that the proposed algorithms and analysis of dual polarized channel using SCM (Spatial Channel Model) optimize channel capacity and reduce the number of transmit antenna selection compare to heuristic method which has considerable 100 cases.
Using proposed the channel model; we know estimates of the channel capacity as a function of cross polarization discrimination (XPD) and spatial fading correlation. It is important that the MIMO channel matrix consists of Kronecker product dividable spatial and polarized channel. Through the channel characteristics, we propose an algorithm for the adaptation of transmit antenna configuration to time varying propagation environments. The optimal active transmit antenna subset is determined with equal power allocated to the active transmit antennas, assuming no feedback information on types of the selected antennas.
We first consider a heuristic decision strategy in which the optimal active transmit antenna subset and its system capacity are determined such that the transmission data rate is maximized among all possible types. This paper then proposes singular values decision procedure consisting of Kronecker product with spatial and polarize channel. This method of singular value decision, which the first channel environments is determined using singular values of spatial channel part which is made of environment parameters and distance between antennas, level of correlation. Then we will select antenna which have various polarization type. After spatial channel structure is decided, we contact polarization types which have considerable cases
It is note that the proposed algorithms and analysis of dual polarized channel using SCM (Spatial Channel Model) optimize channel capacity and reduce the number of transmit antenna selection compare to heuristic method which has considerable 100 cases.
목차
ABSTRACT
Ⅰ. Introduction
Ⅱ. Channel model
Ⅲ. Simulation setup
Ⅳ. Simulation results
Ⅴ. Conclusion
REFERENCE
저자소개
참고문헌 (6)
참고문헌 신청
Rodney Vaughan,"Polarization Diversity in Mobile Communications," IEEE Transactions on Vehicular Technology, vol.39, no.3, August 1990
3GPP3GPP2 Spatial Channel Model Ad-Hoc Group, "Spatial Channel Model Text", SCM -134, April 22, 2003.
M.K. Varanasi,T. Guess, "Optimum Decision Feedback Multiuser Equalization with Successive Decoding Achieves the Total Capacity of the Gaussian multiple Access Channel," Asilomar conference, pp.1405-1409, 1998.
Dhananjay A. Gore, Rohit U. Nabar, Arogyaswami Paulrah, "Selection an Optimal Set of Transmit Antennas for a Low Rank Matrix Channel," IEEE Acoustics, Speech, and Signal Processing, vol.5, pp.2785-2788, 5-9, June, 2000.
Sang Yub Lee and Jong Gwan Yook, Performance Evaluation of Dual Polarized MIMO System Using System Capacity, 한국통신학회 추계종합학술대회 논문초록집, vol. 30, pp71, 20, Nov, 2004.
3GPP3GPP2 Spatial Channel Model Ad-Hoc Group, "Spatial Channel Model Text", SCM -134, April 22, 2003.
M.K. Varanasi,T. Guess, "Optimum Decision Feedback Multiuser Equalization with Successive Decoding Achieves the Total Capacity of the Gaussian multiple Access Channel," Asilomar conference, pp.1405-1409, 1998.
Dhananjay A. Gore, Rohit U. Nabar, Arogyaswami Paulrah, "Selection an Optimal Set of Transmit Antennas for a Low Rank Matrix Channel," IEEE Acoustics, Speech, and Signal Processing, vol.5, pp.2785-2788, 5-9, June, 2000.
Sang Yub Lee and Jong Gwan Yook, Performance Evaluation of Dual Polarized MIMO System Using System Capacity, 한국통신학회 추계종합학술대회 논문초록집, vol. 30, pp71, 20, Nov, 2004.
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