| 講演抄録／キーワード |
| 講演名 |
2016-02-18 16:40
A Centralized Interference Alignment (IA) Design for Multi-User MIMO Interference Channels
○Fereidoun H. Panahi・Tomoaki Ohtsuki（Keio Univ.）・Wenjie Jiang・Yasushi Takatori・Kazuhiro Uehara（NTT） |
| 抄録 |
（和） |
Interference alignment (IA) is a technique shown to be able to achieve a significant overall throughput in a 𝐾-user multiple-input multiple-output (MIMO) interference channel (IC). In this paper, we try to modify the conventional IA designs to achieve enhanced sum-rate performance. We jointly design transmit and receive IA filters (precoding and suppression filters) at a central unit (CU) to reduce the channel state information (CSI) feedback/sharing overhead. At the CU, in a one-way iterative strategy (left ?L? to right ?R?, see Fig. 1), the precoding filters are optimized (on side ?L?) in the direction of the gradient of the sum-rate, and the suppression filters are chosen (on side ?R?) to minimize the leakage interferences. Then, in a two-way iterative strategy, the proposed scheme alternates between ?L? and ?R? sides to design the IA filters through the joint sum-rate maximization and interference leakage minimization on each side. Finally, a modified version of the two-way iterative strategy is proposed to design the IA filters on the basis of signal-to-interference-plus-noise ratio (SINR) (instead of the interference minimization) and the sum-rate maximization techniques. |
| （英） |
Interference alignment (IA) is a technique shown to be able to achieve a significant overall throughput in a 𝐾-user multiple-input multiple-output (MIMO) interference channel (IC). In this paper, we try to modify the conventional IA designs to achieve enhanced sum-rate performance. We jointly design transmit and receive IA filters (precoding and suppression filters) at a central unit (CU) to reduce the channel state information (CSI) feedback/sharing overhead. At the CU, in a one-way iterative strategy (left ?L? to right ?R?, see Fig. 1), the precoding filters are optimized (on side ?L?) in the direction of the gradient of the sum-rate, and the suppression filters are chosen (on side ?R?) to minimize the leakage interferences. Then, in a two-way iterative strategy, the proposed scheme alternates between ?L? and ?R? sides to design the IA filters through the joint sum-rate maximization and interference leakage minimization on each side. Finally, a modified version of the two-way iterative strategy is proposed to design the IA filters on the basis of signal-to-interference-plus-noise ratio (SINR) (instead of the interference minimization) and the sum-rate maximization techniques. |
| キーワード |
（和） |
Interference Alignment (IA) / Optimization Problem / Iterative Algorithms / / / / / |
| （英） |
Interference Alignment (IA) / Optimization Problem / Iterative Algorithms / / / / / |
| 文献情報 |
映情学技報, vol. 40, no. 4, BCT2016-25, pp. 33-36, 2016年2月. |
| 資料番号 |
BCT2016-25 |
| 発行日 |
2016-02-11 (BCT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| PDFダウンロード |
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