2026-09-19T02:22:55Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/416382022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Vincent W.S. Chan.
Godoy, Elizabeth C
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2008-05-19T16:03:56Z
2008-05-19T16:03:56Z
2007
2007
http://hdl.handle.net/1721.1/41638
219678790
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
Page 94 blank.
Includes bibliographical references (p. 92-93).
Our work studies the impact of antenna beamforming on the performance of infrastructureless wireless networks. Based on examination of the beampattern for a uniform circular antenna array (UCAA) utilizing beamforming under a constraint on maximum average transmit power, we approximate achievable user data rates as a function of the number of antenna elements, and we examine the behavior of these rates in a simple network with varying noise power and interference and with different scheduling of user transmissions. We find that user data rates increase with the number of antenna elements up to a point of saturation determined by the antenna size and carrier wavelength. Moreover, in some cases that we outline, judicious scheduling of user transmissions can increase achievable data rates.
by Elizabeth C. Godoy.
M.Eng.
94 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Antenna beamforming for infrastructureless wireless networks
Achievable data rates via multiple antenna gain patterning for wireless network users
Thesis
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<Abstract>Our work studies the impact of antenna beamforming on the performance of infrastructureless wireless networks. Based on examination of the beampattern for a uniform circular antenna array (UCAA) utilizing beamforming under a constraint on maximum average transmit power, we approximate achievable user data rates as a function of the number of antenna elements, and we examine the behavior of these rates in a simple network with varying noise power and interference and with different scheduling of user transmissions. We find that user data rates increase with the number of antenna elements up to a point of saturation determined by the antenna size and carrier wavelength. Moreover, in some cases that we outline, judicious scheduling of user transmissions can increase achievable data rates.</Abstract>
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