Combination of Antenna Selection and Power Allocation for MC-CDMA

碩士 === 國立臺灣科技大學 === 電子工程系 === 93 === In this thesis, we present a combined scheme of power allocation and antenna selection to improve the bit error rate (BER) performance for multiple input multiple output (MIMO) multicarrier code division multiple access (MC-CDMA) systems over frequency selective...

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Bibliographic Details
Main Authors: Te-Hung, Wang, 王德弘
Other Authors: Wen-Hsien, Fang
Format: Others
Language:en_US
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/36831244591976388216
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Summary:碩士 === 國立臺灣科技大學 === 電子工程系 === 93 === In this thesis, we present a combined scheme of power allocation and antenna selection to improve the bit error rate (BER) performance for multiple input multiple output (MIMO) multicarrier code division multiple access (MC-CDMA) systems over frequency selective Rayleigh fading channels. MIMO configurations with space-time block code (STBC) technology can enhance system performance by improving the spatial diversity order, while MC-CDMA systems provide frequency diversity and multiple access capability by frequency domain spreading and multicarrier modulation. The proposed scheme combines the advantages of these technologies by appropriately selecting the transmit antennas with higher channel gain and allocating the limited transmission power resources among them to improve the overall system performance. The scheme we proposed is to first select the best transmit antenna with highest channel Frobenius norm for each subcarrier. Then, the transmission power is allocated among these subcarriers by water-filling (WF) algorithm to improve the overall system performance. The antennas selection is performed in spatial diversity dimension on each subcarrier employing the norm-based criterion, with the power being allocated in frequency diversity domain to maximize the channel capacity across the subcarriers. The power allocation among the subcarriers is a constrained optimization problem that can be solved by using the Lagrange multiplier method. Simulation results show that the new scheme can provide considerable performance gain.