Dynamic Power Optimization of Pilot and Data for Downlink OFDMA Systems

被引:7
作者
Liu, Yong [1 ]
Liu, Fei [2 ]
Zhu, Guang [2 ]
Wang, Xiaolei [1 ]
Jiao, Yuechao [1 ]
机构
[1] Zhongyuan Univ Technol, Sch Elect & Informat Engn, 41 Zhongyuan Rd, Zhengzhou 450007, Henan, Peoples R China
[2] Zhongyuan Univ Technol, Sch Comp Sci, 41 Zhongyuan Rd, Zhengzhou 450007, Henan, Peoples R China
关键词
Channel estimation; dynamic power control; imper-fect CSI; queue stability; RESOURCE-ALLOCATION; ENERGY EFFICIENCY;
D O I
10.23919/JCN.2021.000023
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we investigate the power allocation problem in downlink orthogonal frequency-division multiple access (OFDMA) networks. Different from previous researches on power allocation, we take into account various practical factors, such as the stochastic traffic arrival, the time-varying channel, the queue stability requirements of all users, the channel estimation cost and the corresponding effect of imperfect channel state information (CSI) on data transmission rate. The power allocation problem is formulated as maximizing the time-averaged data transmission rate by optimizing pilot and data power allocation subject to the queue stability and the maximum transmit power constraints. The data transmission rate is defined in terms of the pilot transmit power, the data transmit power and the channel estimation error, which is non-concave. To solve the non-concave and stochastic optimization problem, a dynamic pilot and data power allocation (DPDPA) algorithm is proposed with the aids of approximate transformation, Lyapunov optimization and Lagrange dual formulation. Moreover, we derive the bounds of performances, in terms of the time-averaged data transmission rate and queue length.
引用
收藏
页码:250 / 259
页数:10
相关论文
共 25 条
[1]   Optimal placement of training for frequency-selective block-fading channels [J].
Adireddy, S ;
Tong, L ;
Viswanathan, H .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2002, 48 (08) :2338-2353
[2]   Queue-Aware Optimal Resource Allocation for the LTE Downlink With Best M Subband Feedback [J].
Ahmed, Hussam ;
Jagannathan, Krishna ;
Bhashyam, Srikrishna .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2015, 14 (09) :4923-4933
[3]  
Bertsekas D. P., 1987, Data Networks
[4]  
Boyd S. P., 2004, Convex Optimization
[5]   Relay Selection and Resource Allocation for SWIPT in Multi-User OFDMA Systems [J].
Gautam, Sumit ;
Lagunas, Eva ;
Chatzinotas, Symeon ;
Ottersten, Bjorn .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2019, 18 (05) :2493-2508
[6]  
Georgiadis Leonidas, 2006, Foundations and Trends in Networking, V1, P1, DOI 10.1561/1300000001
[7]   On the Capacity and Energy Efficiency of Training-Based Transmissions Over Fading Channels [J].
Gursoy, Mustafa Cenk .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2009, 55 (10) :4543-4567
[8]   Utility Optimal Scheduling in Energy-Harvesting Networks [J].
Huang, Longbo ;
Neely, Michael J. .
IEEE-ACM TRANSACTIONS ON NETWORKING, 2013, 21 (04) :1117-1130
[9]   Dynamic Power Allocation for Throughput Utility Maximization in Interference-Limited Networks [J].
Ju, Honghao ;
Liang, Ben ;
Li, Jiandong ;
Yang, Xiaoniu .
IEEE WIRELESS COMMUNICATIONS LETTERS, 2013, 2 (01) :22-25
[10]   Resource Allocation and Performance Analysis of Cellular-Assisted OFDMA Device-to-Device Communications [J].
Kai, Yuan ;
Wang, Junyuan ;
Zhu, Huiling ;
Wang, Jiangzhou .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2019, 18 (01) :416-431