通信学报Issue(4)：25-34,10.DOI:10.3969/j.issn.1000-436x.2014.04.004
认知无线电网络中基于业务自适应的干扰对齐新机制探索
Investigation of traffic adaptation based interference alignment for cognitive radio networks
摘要
Abstract
A novel method of adaptive interference alignment (IA) was proposed for cognitive radio networks. The new IA scheme, which was chiefly characterized by off-line feasible set optimization and traffic load oriented adaptation, ena-bles dynamic sharing of channel resource among a pair of primary users and multiple pairs of secondary users. To effec-tively construct the beam-forming and interference suppression matrix for IA, then not only derive an adaptive closed-form algorithm, but its average degrees of freedom (d.o.f) were also analyzed with random traffic load model and a lower bound is given as well. The analysis is verified with statistic model simulation and the results show that the new method outperforms both modified opportunistic IA and fixed IA in average d.o.f and thus can significantly improve the sum capacity of cognitive users without introducing interference to the primary user. Moreover, due to its simplicity, the scheme is highly desirable to implement in low cost terminals.关键词
干扰对齐/认知无线电/波束成形/自由度Key words
interference alignment/cognitive radio/beam-forming/degrees of freedom分类
信息技术与安全科学引用本文复制引用
董恒,宋荣方..认知无线电网络中基于业务自适应的干扰对齐新机制探索[J].通信学报,2014,(4):25-34,10.基金项目
国家自然科学基金资助项目（61271234，60972041）；东南大学移动通信国家重点实验室开放课题基金资助项目；教育部博士点基金资助项目(20123223110002)；江苏省高校研究生创新计划基金资助项目（CXZZ12-0464）；江苏省科技支撑计划基金资助项目(BE2012182)；江苏高校优势学科建设工程基金资助项目@@@@Foundation Items:The National Natural Science Foundation of China (61271234,60972041) （20123223110002）
Open Research Foundation of Na-tional Mobile Communication Research Laboratory, Southeast University （）
Ph.D. Program Foundation of Ministry of Education (20123223110002) （20123223110002）
Graduate Innovation Program of Jiangsu Province (CXZZ12-0464) （CXZZ12-0464）
Provincial Key Technology R&D Pro-gram(BE2012182) （BE2012182）
Priority Academic Program Development of Jiangsu Higher Education Institutions Information and Communica-tion Engineering （）
