Li Zhuoming
Harbin Institute of Technology
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Publication
Featured researches published by Li Zhuoming.
international conference on instrumentation and measurement computer communication and control | 2014
Song Shuang; Li Zhuoming; Wang Peng; Zhao Wanjun; Wu Wei; Wu Xuanli
Self-organizing network is used for regional communications, which makes up for the coverage of mobile communication system. In LTE-Advanced network, such network forms by proximity communications and utilizes the limited bandwidth efficiently. However, the system frequencies shared by the terminals in self-organizing network belong to cellular terminals, the resource reusing leads to interference. Meanwhile, due to the mobility of devices and the dynamic topology of self-organizing network, the level of interference becomes more unpredictable. In this paper, we proposed to establish a probabilistic statistical model that randomizer the spectrum allocation problem for self-organizing terminals. Through the model, we simplify the power control algorithm with convex optimization method. Simulation shows that our proposed distributed admission and power control (DAPC) algorithm can improve the Signal to Interference plus Noise Ratio of users mostly 5-10 dB. Even the network changes during the communication process, this algorithm also province that the interference is acceptable.
international conference on instrumentation and measurement, computer, communication and control | 2012
Wu Tonghui; Liu Liang; Li Zhuoming; Sun Jin
UTRAN Long Term Evolution (LTE), marked as 4G LTE, is a standard for wireless communication developed by 3GPP, which is aiming to provide a spectral efficiency 2 to 4 times higher than its predecessor HSUPA/HSDPA Release 6. As a downlink access scheme for LTE, the Orthogonal Frequency Division Multiple Access (OFDMA) technology can allocate resources flexibly at the cost of additional control signals, so this will limit the throughput of the system. In this paper, we propose a new algorithm, named as Resource Allocation with Shared Channel and Control Channel (RA-SCCC) algorithm to be able to achieve the maximum possible throughput. The simulation result indicated two major conclusions: one is that the RA-SCCC algorithm in this paper could gain 40% ~ 80% throughput than the Roundup Robin algorithm and the other is that the RA-SCCC could provide the better fairness relative to the Max C/I algorithm.
international conference on consumer electronics | 2013
Wu Wei; Zhang Li; Li Zhuoming; Sha Xuejun
Archive | 2014
Gao Yulong; Wang Si; Wu Xuanli; Wu Wei; Wu Shaochuan; Li Zhuoming; Sha Xuejun
international conference on consumer electronics | 2013
Peng Wang; Wu Wei; Li Zhuoming
Archive | 2014
Sha Xuejun; Fang Xiaojie; Qiu Xin; Wu Xuanli; Li Zhuoming; Bai Xu
Archive | 2014
Li Zhuoming; Liu Yuqi; Tian Chunyang; Wang Peng; Sha Xuejun; Wu Wei
Archive | 2013
Zhang Li; Wu Wei; Wu Xuanli; Guan Xiuzhi; Sha Xuejun; Li Zhuoming
Archive | 2015
Sha Xuejun; Fu Zhanyu; Song Xiaocheng; Wu Xuanli; Fang Xiaojie; Wu Wei; Li Zhuoming
Archive | 2013
Wu Xuanli; Lang Zhe; Wu Wei; Sha Xuejun; Li Zhuoming; Hu Shaoling