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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Khademi, S. Chepuri, S.P. Leus, G. van der Veen, A.-J. |
| Copyright Year | 2013 |
| Description | Author affiliation: Fac. of Electr. Eng., Tech. Univ. Delft, Delft, Netherlands (Khademi, S.; Chepuri, S.P.; Leus, G.; van der Veen, A.-J.) |
| Abstract | In this paper, we jointly solve the problem of transmit antenna selection and zero-forcing (ZF) precoding in a multiple input multiple output (MIMO) system. A new problem formulation is proposed which enables efficient semi-definite programming (SDP) to solve the originally non-convex problem of antenna selection. This has been accomplished by imposing the Group Lasso sparsity promoting term in the precoding design criterium as a convex relaxation of the $ℓ_{0}-norm$ operation. For the selected set of antennas, we then minimize the overall transmit power, subject to a constraint on the maximum achievable throughput. Simulation results reveal the power saving advantage of the proposed algorithm compared to a randomly selected subset of antennas. |
| Starting Page | 5046 |
| Ending Page | 5050 |
| File Size | 250322 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479903566 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2013.6638622 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-05-26 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Transmitting antennas MIMO Receiving antennas Throughput Group Lasso Multiple input multiple output (MIMO) linear precoding convex optimization antenna selection |
| Content Type | Text |
| Resource Type | Article |
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