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Danesh, N., Sheikhan, M., Mahboobi, B.. (1398). Interference Alignment Using Difference of Convex-based Beamformer Design for MIMO Interference Channels. فناوری آموزش, 7(2), 231-240. doi: 10.22061/jecei.2020.6108.280
N. Danesh; M. Sheikhan; B. Mahboobi. "Interference Alignment Using Difference of Convex-based Beamformer Design for MIMO Interference Channels". فناوری آموزش, 7, 2, 1398, 231-240. doi: 10.22061/jecei.2020.6108.280
Danesh, N., Sheikhan, M., Mahboobi, B.. (1398). 'Interference Alignment Using Difference of Convex-based Beamformer Design for MIMO Interference Channels', فناوری آموزش, 7(2), pp. 231-240. doi: 10.22061/jecei.2020.6108.280
Danesh, N., Sheikhan, M., Mahboobi, B.. Interference Alignment Using Difference of Convex-based Beamformer Design for MIMO Interference Channels. فناوری آموزش, 1398; 7(2): 231-240. doi: 10.22061/jecei.2020.6108.280

Interference Alignment Using Difference of Convex-based Beamformer Design for MIMO Interference Channels

Journal of Electrical and Computer Engineering Innovations (JECEI)
مقاله 11، دوره 7، شماره 2، مهر 2019، صفحه 231-240    اصل مقاله (1.06 M)
نوع مقاله: Original Research Paper
شناسه دیجیتال (DOI): 10.22061/jecei.2020.6108.280
نویسندگان
N. Danesh1؛ M. Sheikhan* 1؛ B. Mahboobi2
1Department of Electrical Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran
2Department of Electrical Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran
تاریخ دریافت: 27 مهر 1397،  تاریخ بازنگری: 01 فروردین 1398،  تاریخ پذیرش: 07 اردیبهشت 1398 
چکیده
Background and Objectives: To achieve significant throughput, interference alignment (IA) is an encouraging technique for wireless interference networks. In this study, we design an aligned beamformer based on the interference leakage minimization (ILM) method to reduce the interference power for a multiple-input multiple-output interference channel (MIMO-IC).
Methods: To deal with the non-convexity of ILM problem, we used a non-convex programming method (i.e., difference of convex [DC]). In this way, the interference leakage function is reformulated to a DC function including difference of two convex terms. Then, an additive function is defined that includes the DC objective function and a penalty function.
Results: We propose a novel DC-based IA algorithm that uses solutions of an upper bound of the additive function in each iteration; as the initial state for the next iteration. Through an iterative manner and for the large values of the penalty factor, the solutions of upper bound function converge to the solutions of the original DC objective function (i.e., interference leakage function).
Conclusion: In contrast to the frequent IA methods, the proposed DC-based IA algorithm updates transmit- and receive-beamformers in each iteration jointly (not alternately). Simulation results indicate that the proposed method outperforms some competitive IA algorithms by providing more throughputs and less interference leakage.
کلیدواژه‌ها
Interference؛ Alignment؛ Difference of convex؛ Beamformer؛ Penalty function
مراجع
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