Title :
Antenna Resources Assignment for Multi-Cell Multi-User Interfering Networks Based on Interference Alignment
Author :
Jin Jin ; Xiangchuan Gao ; Lihua Li ; Ping Xie ; Qiang Wang
Author_Institution :
State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Utilizing spatial dimensions to align interference, interference alignment (IA) techniques can greatly improve spatial multiplexing benefits in interference-limited multiple antenna systems. In this paper, we focus on the closed-form design of IA in the multi-cell multi-user interfering networks with a finite number of antennas at each node. To obtain the same degrees of freedom (DoF), existing IA schemes employ different antenna usages on the base station (BS) side and mobile station (MS) side, leading to different DoF gain over orthogonal schemes. For practical concerns, it is unrealistic to install a lot of antennas on a MS, but realizable to deploy a large number of antennas on a massive MIMO BS. Therefore, by flexibly balancing the antenna usage between the BS side and MS side, we propose an IA based antenna resources assignment scheme, which can achieve a tradeoff between the usage of antennas and the DoF gain over orthogonal schemes.
Keywords :
MIMO communication; antenna arrays; interference suppression; multiplexing; DoF gain; IA closed-form design; MIMO BS; MS; antenna resource assignment; base station; degrees of freedom; interference alignment technique; interference-limited multiple antenna systems; mobile station; multicell multiuser interfering network; multiple input multiple output; orthogonal scheme; spatial dimension; spatial multiplexing; Antennas; Equations; Interference; MIMO; Null space; Vectors; Wireless communication;
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2014 IEEE 79th
Conference_Location :
Seoul
DOI :
10.1109/VTCSpring.2014.7022834