吉林大学学报(工学版) ›› 2024, Vol. 54 ›› Issue (11): 3372-3378.doi: 10.13229/j.cnki.jdxbgxb.20230006
• 通信与控制工程 • 上一篇
摘要:
针对Underlay认知无线电网络中各用户的不同目标需求,提出根据用户实际需求灵活调整目标的功率分配方案。提出双目标调整因子对用户功耗和服务质量的性能指标进行配置,构建性能选择目标函数,有效解决传统的功率分配算法下仅考虑单方面性能提高的情况。为验证方案的有效性,对不同调整因子下的用户功率和信干噪比进行仿真分析。实验表明:通过调整目标因子可以实现在低功耗和高服务质量之间进行选择,满足同一场景下各用户的不同需求。
中图分类号:
| 1 | 李玲. 认知无线电技术及其典型应用探讨[J]. 中国新通信, 2021, 23(16): 92-93. |
| Li Ling. Discussion on cognitive radio technology and its typical application[J]. China New Telecommunications, 2021, 23(16): 92-93. | |
| 2 | Riddle A. Comprehending cognitive radios[J]. IEEE Microwave Magazine, 2017, 18(5): 120-132. |
| 3 | 陈威龙, 梁俊, 肖楠, 等. 能效优先的鲁棒功率控制算法[J]. 西安交通大学学报, 2021, 55(2): 143-149. |
| Chen Wei-long, Liang Jun, Xiao Nan, et al. A robust power control algorithm with priority of energy efficiency[J]. Journal of Xi'an Jiaotong University, 2021, 55(2): 143-149. | |
| 4 | Sun M, Jin M, Guo Q, et al. Throughput maximization for cognitive radio with wirelessly powered primary users[J]. IEEE Systems Journal, 2019, 14(2): 2432-2442. |
| 5 | 马蓓, 张海林, 张兆维, 等. 基于不完全信道信息的D2D功率分配算法[J]. 吉林大学学报: 工学版, 2016, 46(4): 1320-1324. |
| Ma Bei, Zhang Hai-lin, Zhang Zhao-wei, et al. Imperfect channel state information based D2D power allocation algorithm[J]. Journal of Jilin University(Engineering and Technology Edition), 2016, 46(4):1320-1324. | |
| 6 | Wang J, Chen J, You L, et al. Robust power control under location and channel uncertainty in cognitive radio networks[J]. IEEE Wireless Communications Letters, 2017, 4(2): 113-116. |
| 7 | Thanuja T C, Daman K A, Patil A S. Optimized spectrum sensing techniques for enhanced throughput in cognitive radio network[C]∥ International Conference on Emerging Smart Computing and Informatics, Pune, India, 2020: 137-141. |
| 8 | Wang H, Zhu M, Zhou M. A robust power allocation scheme in ad-hoc cognitive radio networks[J]. International Journal of Online Engineering, 2017, 13(8): 45-59. |
| 9 | Xu Y, Chen Q, Huang X. Robust power control for OFDM-based cognitive radio networks with QOS guarantee[J]. Wireless Personal Communications, 2017, 96(2): 2125-2140. |
| 10 | Zhu L, Zhao X H. Robust power allocation for OFDM based underlay cognitive radio networks with channel uncertainties[J]. Wireless Personal Communications, 2017, 94(4): 3531-3547. |
| 11 | 王宏志, 姜方达, 周明月. 基于遗传粒子群优化算法的认知无线电系统功率分配[J]. 吉林大学学报: 工学版, 2019, 49(4): 1363-1368. |
| Wang Hong-zhi, Jiang Fang-da, Zhou Ming-yue. Power allocation of cognitive radio system based on genetic particle swarm optimization[J]. Journal of Jilin University (Engineering and Technology Edition), 2019, 49(4): 1363-1368. | |
| 12 | Yousefvand M, Ansari N, Khorsandi S. Maximizing network capacity of cognitive radio networks by capacity-aware spectrum allocation[J]. IEEE Transactions on Wireless Communications, 2015, 14(9): 5058-5067. |
| 13 | Pan C, Wang J, Zhang W, et al. Power minimization in multi-band multi-antenna cognitive radio networks[J]. IEEE Transactions on Wireless Communications, 2014, 13(9): 5056-5069. |
| 14 | Tsiropoulos G I, Dobre O A, Ahmed M H, et al. Joint channel assignment and power allocation in cognitive radio networks[C]∥ IEEE Global Communications Conference, Austin, USA, 2014: 876-881. |
| 15 | Waqas M, Aslam S, Ali Z, et al. Resource optimization for cognitive radio based device to device communication under an energy harvesting scenario[J]. IEEE Access, 2020, 8(1): 24862-24872. |
| 16 | Wang H, Yan Y, Zhou M. Resource allocation in OFDM-based cognitive radios under proportional rate constraint[C]∥ Communications and Networking: 12th International Conference, Xi´an, China, 2017: 416-425. |
| 17 | 朱孟, 王宏志, 周明月, 等. 基于鲁棒的认知无线电功率分配算法[J]. 长春工业大学学报: 自然科学版, 2017, 38(1): 43-47. |
| Zhu Meng, Wang Hong-zhi, Zhou Ming-yue, et al. Robust power allocation algorithm for cognitive radio systems[J]. Journal of Changchun University of Technology (Natural Science Edition), 2017, 38(1): 43-47. |
| [1] | 杨普,曲庆悦,申逸飞,刘毅. 能量效率最大化的非正交多址接入系统功率分配方法[J]. 吉林大学学报(工学版), 2024, 54(8): 2370-2377. |
| [2] | 李房云,夏容,张怡欣. 考虑电池荷电状态的混合动力汽车复合电源协同控制[J]. 吉林大学学报(工学版), 2024, 54(4): 1114-1119. |
| [3] | 初亮,董力嘉,许楠,张立峰,贾一帆,杨志华. 基于开绕组电机的增程式电动车动力系统构型及其功率分配[J]. 吉林大学学报(工学版), 2021, 51(1): 72-82. |
| [4] | 李翠然,于永生,谢健骊. 基于次用户优先级的频谱共享动态博弈算法[J]. 吉林大学学报(工学版), 2020, 50(1): 315-323. |
| [5] | 王宏志,姜方达,周明月. 基于遗传粒子群优化算法的认知无线电系统功率分配[J]. 吉林大学学报(工学版), 2019, 49(4): 1363-1368. |
| [6] | 马蓓, 张海林, 张兆维, 钟鸣. 基于不完全信道信息的D2D功率分配算法[J]. 吉林大学学报(工学版), 2016, 46(4): 1320-1324. |
| [7] | 栾磊, 赵晓晖, 徐勇军. 面向区域的认知无线电系统的频谱感知模型[J]. 吉林大学学报(工学版), 2016, 46(4): 1304-1312. |
| [8] | 陈健, 樊光辉, 阔永红. 认知无线电中继协助网络资源分层优化算法[J]. 吉林大学学报(工学版), 2014, 44(5): 1498-1505. |
| [9] | 赵晓晖, 沙京祺. 基于DF中继的认知OFDM协作系统的资源分配算法[J]. 吉林大学学报(工学版), 2014, 44(5): 1481-1487. |
| [10] | 贺岩, 赵晓晖. 理论的宽带多用户认知系统合作检测[J]. 吉林大学学报(工学版), 2014, 44(4): 1165-1170. |
| [11] | 赵晓晖, 杨伟伟, 金晓光. 多中继OFDM系统选择性子载波中继和功率分配算法[J]. 吉林大学学报(工学版), 2014, 44(2): 478-484. |
| [12] | 李美玲, 袁超伟, 赵伟, 韩曦. 基于目标对象的最佳中继协作频谱感知方案[J]. 吉林大学学报(工学版), 2013, 43(04): 1098-1103. |
| [13] | 王小龍, 坂上岩太, 高橋健作, 岡村信吾. 基于端口分离的小型化Wilkinson功率分配器[J]. , 2012, 42(05): 1309-1314. |
| [14] | 李居朋, 谈振辉, 陶成, 徐少毅. 基于多特征参数模型聚类的动态频谱接入策略[J]. , 2012, 42(04): 1021-1026. |
| [15] | 施玉晨, 白宝明. 基于叠加调制和自适应功率分配的干扰抵消[J]. 吉林大学学报(工学版), 2012, 42(01): 213-217. |
|
||