Resource Allocation for Cost Minimization in Limited Feedback MU-MIMO Systems With Delay Guarantee

被引：2
作者：
Chen, Xiaoming [1 ,2 ]
Zhang, Zhaoyang [3 ]
Yuen, Chau [4 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Elect & Informat Engn, Nanjing 210016, Jiangsu, Peoples R China
[2] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Jiangsu, Peoples R China
[3] Zhejiang Univ, Fac Informat Technol, Dept Informat Sci & Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
[4] Singapore Univ Technol & Design, Singapore, Singapore
来源：
IEEE SYSTEMS JOURNAL | 2015年 / 9卷 / 04期
基金：
国家教育部博士点专项基金资助;
关键词：
Cost minimization; delay sensitivity; limited feedback; multiuser multiple-input multiple-output (MU-MIMO) system; resource allocation; FINITE-RATE FEEDBACK; BROADCAST CHANNELS; WIRELESS LINKS; ADAPTIVE MODULATION; OFDMA SYSTEMS; DECOMPOSITION; DESIGN; POWER;
D O I：
10.1109/JSYST.2013.2290036
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 design a resource allocation framework for the delay-sensitive multiuser multiple-input multiple-output (MU-MIMO) broadcast system with limited feedback. Considering the scarcity and interrelation of the transmit power and feedback bandwidth, it is imperative to optimize the two resources in a joint and efficient manner while meeting the delay-QoS requirement. Based on the effective bandwidth theory, we first obtain a closed-form expression of average violation probability with respect to a given delay requirement as a function of the transmit power and codebook size of the feedback channel. By minimizing the total resource cost, we derive an optimal joint resource allocation scheme, which can flexibly adjust the transmit power and the feedback bandwidth according to the characteristics of the system. Moreover, through an asymptotic analysis, some simple resource allocation schemes are presented. Finally, the theoretical claims are validated by numerical results.
引用
收藏
页码：1229 / 1236
页数：8
相关论文
共 30 条
[1]  
[Anonymous], 2006, IEEE GLOBECOM 2006
[2]   Communication over fading channels with delay constraints [J].
Berry, RA ;
Gallager, RG .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2002, 48 (05) :1135-1149
[3]   On the achievable throughput of a multiantenna Gaussian broadcast channel [J].
Caire, G ;
Shamai, S .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2003, 49 (07) :1691-1706
[4]   Improved DV-Hop Node Localization Algorithm in Wireless Sensor Networks [J].
Chen, Xiao ;
Zhang, Benliang .
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2012,
[5]   Interference-Aware Resource Control in Multi-Antenna Cognitive Ad Hoc Networks with Heterogeneous Delay Constraints [J].
Chen, Xiaoming ;
Chen, Hsiao-Hwa .
IEEE COMMUNICATIONS LETTERS, 2013, 17 (06) :1184-1187
[6]   Efficient Resource Allocation in a Rateless-Coded MU-MIMO Cognitive Radio Network With QoS Provisioning and Limited Feedback [J].
Chen, Xiaoming ;
Yuen, Chau .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2013, 62 (01) :395-399
[7]   Adaptive Mode Selection for Multiuser MIMO Downlink Employing Rateless Codes with QoS Provisioning [J].
Chen, Xiaoming ;
Zhang, Zhaoyang ;
Chen, Shaolei ;
Wang, Chao .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2012, 11 (02) :790-799
[8]   Robust Multi-Antenna Multi-User Precoding Based on Generalized Multi-Unitary Decomposition With Partial CSI Feedback [J].
Chua, Wee Seng ;
Yuen, Chau ;
Guan, Yong Liang ;
Chin, Francois .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2013, 62 (02) :596-605
[9]   A Survey on Delay-Aware Resource Control for Wireless Systems-Large Deviation Theory, Stochastic Lyapunov Drift, and Distributed Stochastic Learning [J].
Cui, Ying ;
Lau, Vincent K. N. ;
Wang, Rui ;
Huang, Huang ;
Zhang, Shunqing .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2012, 58 (03) :1677-1701
[10]   Queue-Aware Dynamic Clustering and Power Allocation for Network MIMO Systems via Distributed Stochastic Learning [J].
Cui, Ying ;
Huang, Qingqing ;
Lau, Vincent K. N. .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2011, 59 (03) :1229-1238
123