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oai:www.ideals.illinois.edu:2142/29794 2023-07-10 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Veeravalli, Venugopal V. Wilson, Craig 2012-02-06T20:17:33Z 2012-02-06T20:17:33Z 2011-12 2012-02-06T20:17:33Z 2011-12 Managing interference for wireless networks is crucial for meeting future demand for higher mobile data rates. Interference can be viewed through the interference channel (IC) in which pairs of transmitters and receivers interfere with each other, so an interesting way to manage interference is to develop communication strategies for the IC. We consider the problem of designing signals to transmit over the multiple input and multiple output (MIMO) interference channel by extending the Max SINR algorithm. The Max SINR algorithm starts with arbitrary beamformers and then designs optimal receivers to maximize the SINR at each receiver. The Max SINR algorithm then alternates the direction of communication and repeats this process. This algorithm is known to perform well, but there is no proof that it converges. We propose a modification to Max SINR using a power control step to make a metric similar to sum rate converge. With successive interference cancellation (SIC), then the new metric is exactly the sum rate. Finally, simulations show that the performance of the modified Max SINR algorithm, unlike other convergent alternatives, is nearly identical to that of the original Max SINR algorithm. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2011-12-05T22:19:15Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 wilson_craig_masters_thesis_originals.zip: 1107977 bytes, checksum: 4b5a7d329582d9a6b7390e854296a9ee (MD5) wilson_craig.pdf: 726103 bytes, checksum: 2e6c330f46ac4eaf9f4d34adb5b9bb5b (MD5) Made available in DSpace on 2012-02-06T20:17:33Z (GMT). No. of bitstreams: 3 wilson_craig.pdf: 726103 bytes, checksum: 2e6c330f46ac4eaf9f4d34adb5b9bb5b (MD5) license.txt: 4062 bytes, checksum: e5877e0ad4d02f33d54e927861f55928 (MD5) wilson_craig_masters_thesis_originals.zip: 1107977 bytes, checksum: 4b5a7d329582d9a6b7390e854296a9ee (MD5) http://hdl.handle.net/2142/29794 en Copyright 2011 Craig Wilson wireless networks interference channels iterative algorithms throughput Communication strategies for the MIMO interference channel Dissertation / Thesis text Electrical & Computer Eng 1933 Electrical & Computer Engr 1200 University of Illinois at Urbana-Champaign Thesis M.S. MS:Electr & Computer Eng-UIUC 10KS1200MS