Computer Science ›› 2018, Vol. 45 ›› Issue (11A): 299-302.

• Network & Communication • Previous Articles     Next Articles

Resource Allocation of Capacity Maximization Based on MIMO System

LIU Chun-ling, MA Qiu-cheng, ZHANG Ran   

  1. College of Information Engineering,Dalian University,Dalian,Liaoning 116622,China
  • Online:2019-02-26 Published:2019-02-26

Abstract: Multiple input multiple output (MIMO) technology can improve the transmission rate of system and increase the system capacity.Aiming at the problems that users suddenly increase in emergency communication andthe system capacity of the traditional resource allocation algorithm is unable to meet the demand of users,a resource allocation algorithm for maximizing system capacity based on the user’s minimum rate of MIMO-OFDM system was proposed.It considers the rapid growth of low rate business such as call service in emergency situations.Firstly,the subcarriers are allocated in descending order according to the users’ rate.Then,on the basis of the ratio of allocated subcarriers’ number,the remaining subcarriers are allocated from high to low according to the users’ rate.For the subcarriers with remaining bandwidth,subcarrier grouping method is used for redistributing,thus it maximizes the number of system serviced users.In order to compensate for channel fading and suppress interference between channels,a power allocation of subcarrier channel matrix grouping was proposed.It candecrease the number of iterations and reduce the computational complexity.The simulation experiment evaluates the performance of the proposed algorithm from throughput,the number of system serviced users,computational complexity and so on.Comparing with traditional resource allocation algorithms,the simulation results show that the proposed algorithm increases the number of system serviced users and reduces computational complexity.

Key words: Capacity maximization, Emergency communication, MIMO, Power allocation, Subcarrier allocation

CLC Number: 

  • TP391.9
[1]胡莹,冀保峰,黄永明,等.大规模MIMO-OFDMA下行系统能效资源分配算法[J].通信学报,2015,36(7):40-47.
[2]郭涛,李有明,雷鹏,等.MIMO中继系统中一种基于用户QoS的资源分配方法[J].电信科学,2015,31(4):115-120.
[3]PATIL P,BORSE C.Fair resource allocation to MIMO wireless system using Opportunistic Round Robin scheduling algorithm[C]∥International Conference on Pervasive Computing.IEEE,2015:1-3.
[4]GANGWAR A,BHARTI M R.An efficient dynamic resource allocation algorithm for downlink MIMO-OFDMA systems[C]∥International Conference on Advanced Communications,Control and Computing Technologies.IEEE,2015:775-779.
[5]ALI M A,AL-GHADHBAN S,MAHMOUD A S H.Resource allocation scheme for MIMO-OFDMA systems with proportio-nal fairness constraints[C]∥IEEE,International Conference on Wireless and Mobile Computing,Networking and Communications.IEEE Computer Society,2012:512-516.
[6]王大鸣,吕璐,窦冬冬,等.一种虚拟MIMO中的低复杂度功率分配算法[J].数据采集与处理,2013,28(3):280-283.
[7]WANG Z,VANDENDORPE L.Energy efficient resource allocation in MIMO-OFDMA downlink systems[C]∥IEEE,International Workshop on Signal Processing Advances in Wireless Communications.IEEE,2016:1-5.
[8]ADIAN M G,AGHAEINIA H.Resource Allocation in MIMO-OFDM-Based Cooperative Cognitive Radio Networks[J].Transactions on Emerging Telecommunications Technologies,2016,27(1):34-50.
[9]GUO C,ZHAO L,FAN G,et al.Capacity-and-Energy Efficient Resource Allocation for Emergency Communications[C]∥Vehicular Technology Conference.IEEE,2015:1-5.
[10]PATIL P,BORSE C.Fair resource allocation to MIMO wireless system using Opportunistic Round Robin scheduling algorithm[C]∥International Conference on Pervasive Computing.IEEE,2015:1-3.
[11]MUSHTAQ A S,HAIDER A Z,OREST L,et al.Improving QoS in MAX C/I scheduling using resource allocation type 1 of LTE[C]∥Experience of Designing and Application of Cad Systems in Microelectronics.IEEE,2015:12-14.
[12]CHINGOSKA H,NIKOLOSKA I,HADZI-VELKOV Z,et al.Proportional fair scheduling in wireless powered communication networks[C]∥International Conference on Telecommunications.IEEE,2016:1-5.
[1] WU Su-jie, ZHOU Jie, WANG Xue-ying, LYU Zhi-kang, SHAO Gen-fu. Study on Characteristics of Millimeter-wave MIMO Channel in Rainfall Environment [J]. Computer Science, 2022, 49(7): 297-303.
[2] JIANG Rui, XU Shan-shan, XU You-yun. New Hybrid Precoding Algorithm Based on Sub-connected Structure [J]. Computer Science, 2022, 49(5): 256-261.
[3] TANG Chao-chen, QIU Hong-bing, LIU Xin, TANG Qing-hua. Angle Estimation of Coherent MIMO Radar Under the Condition of Non-uniform Noise [J]. Computer Science, 2022, 49(5): 262-265.
[4] YOU Ling, GUAN Zhang-jun. Low-complexity Subcarrier Allocation Algorithm for Underwater OFDM Acoustic CommunicationSystems [J]. Computer Science, 2021, 48(6A): 387-391.
[5] CHEN Yong, XU Qi, WANG Xiao-ming, GAO Jin-yu, SHEN Rui-juan. Energy Efficient Power Allocation for MIMO-NOMA Communication Systems [J]. Computer Science, 2021, 48(6A): 398-403.
[6] LENG Yue, XIE Ya-qin, LI Peng. Effect of Cross-polarization for Dual-polarized MIMO Channel in Satellite Communications [J]. Computer Science, 2021, 48(6A): 414-419.
[7] CHEN Qian, ZHOU Jie, SHAO Gen-fu. MIMO Channels with Arbitrary AoA Power Spectrum for Various Wireless Environments [J]. Computer Science, 2020, 47(6): 271-275.
[8] LI Hao,CUI Xin-kai,GAO Xiang-chuan. Maximum Likelihood Blind Detection Algorithm Based on Piecewise Gaussian Approximation for Massive MIMO Outdoor Wireless Optical Communication Systems [J]. Computer Science, 2020, 47(3): 255-260.
[9] LIAO Yong, YANG Xin-yi, XIA Mao-han, WANG Bo, LI Shou-zhi, SHEN Xuan-fan. Improved Tomlinson-Harashima Precoding Based on Greedy Algorithm in High-speed Mobile Scenarios [J]. Computer Science, 2019, 46(8): 121-126.
[10] WANG Peng-fei, ZHANG Hang. Sub-sampling Signal Reconstruction Based on Principal Component Under Underdetermined Conditions [J]. Computer Science, 2019, 46(10): 103-108.
[11] ZHU Jiang, MA Xiao, YIN Yao-hu. Multi-channel Power Control Mechanism Based on Hidden Markov in Cognitive Network [J]. Computer Science, 2018, 45(9): 156-160.
[12] ZHAO Cheng, HAO Yin-yin, HUA Jing-yu, YAO Xin-wei and WANG Wan-liang. Subcarrier Pairing Strategy for Energy Efficiency Optimization in Cognitive Radio [J]. Computer Science, 2017, 44(6): 108-113.
[13] QIAN Xiao-jie and WANG Chao. Cross-layer Optimization Algorithm Based on Raptor Code for Video Multicast [J]. Computer Science, 2016, 43(8): 50-54.
[14] TANG Tao, ZHANG Jie, PI Yu-qian, SHEN Xuan-fan and LIAO Yong. Research on Channel Loss of Tropospheric Scatter Communication Based on MIMO [J]. Computer Science, 2016, 43(3): 99-102.
[15] DUANMU Chun-jiang and WANG Zhen-yu. New Optimal Power Allocation Scheme in HDAF Protocol under High Signal to Noise Ratio Conditions [J]. Computer Science, 2016, 43(11): 172-175.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!