Title :
Massive MIMO multicasting in noncooperative multicell networks
Author :
Zhengzheng Xiang ; Meixia Tao ; Xiaodong Wang
Author_Institution :
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
We study the massive MIMO (multiple-input multiple-output) multicast transmission in multicell networks, where each base station (BS) is equipped with a large-scale antenna array and transmits a common message using a single beamformer to multiple mobile users. We first consider the case when each BS knows the perfect channel state information (CSI) of all its served users. We show that the asymptotically optimal beamformer structure at each BS is a linear combination of the channel vectors of its multicast users. The optimal combination coefficients are also obtained in closed form. Then we consider the imperfect CSI scenario where each BS obtains the CSI through uplink channel estimation. We propose a novel pilot scheme that estimates the compound channel rather than the individual channels of multicast users in each cell. This scheme is able to completely eliminate pilot contamination. The optimal power control of pilot transmission is also derived. Numerical results show that the performance of the proposed pilot scheme with pilot power control is close to that of the perfect CSI case.
Keywords :
MIMO communication; antenna arrays; array signal processing; channel estimation; multicast communication; optimal control; power control; CSI; base station; channel vectors; common message; large-scale antenna array; massive MIMO multicasting; multiple mobile users; multiple-input multiple-output; noncooperative multicell networks; optimal beamformer structure; optimal combination coefficients; optimal power control; perfect channel state information; pilot transmission; single beamformer; uplink channel estimation; Array signal processing; Channel estimation; Interference; MIMO; Power control; Signal to noise ratio; Vectors; Physical layer multicasting; asymptotic orthogonal; massive MIMO; pilot contamination;
Conference_Titel :
Communications (ICC), 2014 IEEE International Conference on
Conference_Location :
Sydney, NSW
DOI :
10.1109/ICC.2014.6884076