一种基于遗传算法的干扰链路选择方法

doi:10.11959/j.issn.1000-0801.2015214

摘要/Abstract

摘要：

摘要：针对多小区的多输入多输出网络中的部分干扰对齐问题，提出了一种基于遗传算法的动态干扰链路选择机制。首先，利用无线信道路径损耗的非均匀特性，将预编码问题建模为一个混合整数双层规划问题；其次，基于遗传算法对该问题进行求解并获得最优的系统性能。仿真实验表明，在19个小区的多小区网络中，提出的算法能够以较少的天线达到比匹配滤波算法更优的性能，具有更优的应用价值。

关键词: 无线通信, 多输入多输出, 干扰对齐, 遗传算法

Abstract:

Focusing on interference alignment with partial interference links in multi-cell multiple input multiple output （MIMO）networks, an interference links selection scheme was proposed based on genetic algorithm. By exploiting the heterogeneous path loses, the design problem of transceiver precoding matrices was formulated into a mixed integer bi-level optimal program. Then this problem was solved based on genetic algorithm to achieve the optimal system throughput. The simulation results show that, in a 19 hexagonal wrap-around-cell layout, the algorithm proposed outperforms a standard multi-user MIMO technique with far less transmit antennas. The present scheme is therefore of great promise to practical applications.

Key words: wireless communication, multi-input multi-output, interference alignment, genetic algorithm

孟娟,洪利,李亚南,韩智明,郭丽丽. 一种基于遗传算法的干扰链路选择方法[J]. 电信科学, 2015, 31(9): 137-142.

Juan Meng,Li Hong,Yanan Li,Zhiming Han,Lili Guo. An Interference Links Selection Method Based on Genetic Algorithm[J]. Telecommunications Science, 2015, 31(9): 137-142.

图/表 2

参考文献 16

1	Cadambe R , Jafar S . Interference alignment and degrees of freedom of the K-user interference channel. IEEE Transactions on Information Theory, 2008,54（8）:3425～3441
2	Suh C , Tse D . Interference alignment for cellular networks. Proceedings of 46th Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, USA, 2008:1037～1044
3	Gomadam K , Cadambe V , Jafar S . A distributed numerical approach to interference alignment and applications to wireless interference networks. IEEE Transactions on Information Theory, 2011,57（6）:3309～3322
4	章扬，周正，石磊等．基于严格势博弈的干扰对齐．北京邮电大学学报， 2013,36（2）:50～54 Zhang Y , Zhou Z , Shi L , et al. Interference alignment based on exact potential game. Journal of Beijing University of Posts and Telecommunications, 2013,36（2）:50～54
5	Suh C , Ho M , Tse D . Downlink interference alignment. IEEE Transactions on Communications, 2011,59（9）:2616～2626
6	章扬，周正，石磊等．蜂窝网络下行链路单反馈干扰对齐算法研究．电子与信息学报， 2012,34（12）:2816～2822 Zhang Y , Zhou Z , Shi L , et al. Interference alignment with single feedback for downlink cellular networks. Journal of Electronics ＆ Information Technology, 2012,34（12）:2816～2822
7	Guillaud M , Gesbert D . Interference alignment in partially connected interfering multiple-access and broadcast channels. Procreedings of IEEE Global Telecommunications Conference （GLOBECOM）, Houston, TX, USA, 2011:1～5
8	Westreicher M , Guillaud M . Interference alignment over partially connected interference networks: application to the cellular case. Proceedings of IEEE Wireless Communications and Networking Conference: PHY and Fundamentals, Paris, France, 2012:647～651
9	Rao X , Ruan L , Lau V K N . Limited feedback design for interference alignment on MIMO interference networks with heterogeneous path loss and spatial correlations. IEEE Transactions on Signal Processing, 2013,61（10）:2598～2607
10	Zhang W F , Yu Y , Wang C , et al. Partial interference alignment for multi-cell and multi-user MIMO downlink transmission. Proceedings of IEEE 78th Vehicular Technology Conference（VTC Fall）, Las Vegas, NV, USA, 2013:1～5
11	Liu T T , Yang C Y . On the feasibility of linear interference alignment for MIMO interference broadcast channels with constant coefficients. IEEE Transactions on Signal Processing, 2013,61（9）:2178～2191
[12]	Shin W , Lee N , Lim J B , et al. On the design of interference alignment scheme for two-cell MIMO interfering broadcast channels. IEEE transactions on Wireless Communications, 2011,10（2）:437～442
13	Liu T T , Yang C Y . Interference alignment transceiver design for MIMO interference broadcast channels. Proceedings of IEEE Wireless Communications and Networking Conference （WCNC）, Shanghai, China, 2012:641～646
14	Tang J , Lambotharan S . Interference alignment techniques for MIMO multi-cell interfering broadcast channels. IEEE Transactions on Communications, 2013,61（1）:164～175
15	张养瑞，李云杰，高梅国．协同干扰资源优化分配模型及算法．系统工程与电子技术， 2014,36（9）:1744～1749 Zhang Y R , Li Y J , Gao M G . Optimal assignment model and solution of cooperative jamming resources. Systems Engineering and Electronics, 2014,36（9）:1744～1749
16	Pan Z , Wong K , Ng T . Generalized multiuser orthogonal space-division multiplexing. IEEE transactions on Wireless Communications, 2004,3（6）:1969～1973

[1]	刘晓谦, 唐昕柯, 董宇涵. 水下无线光MIMO链路空间信道建模[J]. 电信科学, 2023, 39(5): 48-56.
[2]	丁青锋, 王松. 高铁场景下联合天线与IOS单元选择的分布式IOS-SM传输方案[J]. 电信科学, 2023, 39(4): 31-42.
[3]	蒋跃宇, 承昊新, 王康, 戴文骏, 刘笑宇. PLC-RF无线传输网络中的能效最优设计方法[J]. 电信科学, 2023, 39(4): 111-119.
[4]	许鸣睿, 姚玉才, 朱晓荣. 基于Fisco-Bcos平台的区块链系统性能精确分析模型[J]. 电信科学, 2023, 39(1): 79-91.
[5]	刘璐, 杨丹, 陈睿杰, 李嘉, 周熹. 基于KPCA-GA-BP神经网络的POI质量预测研究[J]. 电信科学, 2023, 39(1): 108-116.
[6]	王越, 许方敏, 曹海燕. TDD模式下无小区大规模MIMO系统的导频干扰抑制[J]. 电信科学, 2022, 38(5): 87-94.
[7]	戴亚盛, 马柏林, 乐光学. 复杂气象环境海上无线通信信道衰落估计模型[J]. 电信科学, 2022, 38(3): 158-171.
[8]	李攀攀, 谢正霞, 乐光学, 刘鑫. 基于深度学习的无线通信接收方法研究进展与趋势[J]. 电信科学, 2022, 38(2): 1-17.
[9]	马焜, 徐玲玉, 沈晓萍, 龚志城, 蓝建平, 陈双喜, 钱钧. 云计算中基于Shapley值改进遗传算法的虚拟机调度模型[J]. 电信科学, 2022, 38(12): 1-10.
[10]	章鹏, 金小萍, 陈东晓. 一种面向RDSM系统的基于遗传算法优化色散矩阵的方法[J]. 电信科学, 2022, 38(12): 46-55.
[11]	戴晓明, 庞立卓, 常争, 张馨月, 邢怡然, 王曦元. 面向mMIMO系统的模式分割随机接入方案[J]. 电信科学, 2022, 38(10): 57-66.
[12]	金小萍, 刘家瑜, 蒋晨, 郭强. 基于改进遗传算法的STSK系统色散矩阵和3D星座的联合优化[J]. 电信科学, 2021, 37(9): 86-94.
[13]	陈浩椅, 李光球, 李辉. 基于IAFS算法的毫米波大规模MIMO混合预编码方法[J]. 电信科学, 2021, 37(8): 77-84.
[14]	李楠楠, 韩瑜, 高宁, 金石. 基于幅度和相位联合分区的无线物理层密钥生成方法[J]. 电信科学, 2021, 37(5): 100-112.
[15]	宋晓群, 金明, 贾忠杰. 一种大规模MIMO系统的联合用户活跃性和信号检测方法[J]. 电信科学, 2021, 37(5): 113-123.