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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li, L.E. Alimi, R. Dawei Shen Viswanathan, H. Yang, Y.R. |
| Copyright Year | 2010 |
| Abstract | Physical layer techniques have come a long way and can achieve very close to Shannon capacity for point-to-pint links. It is apparent that, to further improve network capacity significantly, we have to resort to concurrent transmissions. Many concurrent transmission techniques (e.g., zero forcing, interference alignment and distributed MIMO) are proposed in which multiple senders jointly encode signals to multiple receivers so that interference is aligned and each receiver is able to decode its desired information. In this paper, we investigate the constraints and challenges of using interference alignment. Our main contribution is conducting the first systematic investigation on the key issue of identifying opportunities for interference alignment. We identify diverse, novel scenarios for using interference alignment. We show that identifying opportunities for interference alignment in the general case is computational challenging. However, we also present a promising, distributed algorithm for identifying a wide range of opportunities for interference alignment using a unifying framework based on the degree of freedom. Our second contribution is evaluating key practical implementation issues. |
| Starting Page | 1 |
| Ending Page | 9 |
| File Size | 293203 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781424458363 |
| ISSN | 0743166X |
| e-ISBN | 9781424458387 |
| DOI | 10.1109/INFCOM.2010.5461997 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-03-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Interference cancellation Wireless networks Receivers Decoding Network topology Throughput Channel estimation OFDM Communications Society Filtering theory |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Electrical and Electronic Engineering |
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