Ubiquitous cell-free Massive MIMO communications

被引:371
|
作者
Interdonato, Giovanni [1 ]
Bjornson, Emil [1 ]
Hien Quoc Ngo [3 ]
Frenger, Pal [2 ]
Larsson, Erik G. [1 ]
机构
[1] Linkoping Univ, Dept Elect Engn ISY, S-58183 Linkoping, Sweden
[2] Ericsson AB, Ericsson Res, S-58330 Linkoping, Sweden
[3] Queens Univ Belfast, Elect Engn & Comp Sci EEECS, Belfast BT3 9DT, Antrim, North Ireland
关键词
Cell-free Massive MIMO; Distributed processing; Radio stripe system; COORDINATED MULTIPOINT; LARGE-SCALE; ARCHITECTURE; NETWORKS; CAPACITY; CHANNEL; SYSTEM;
D O I
10.1186/s13638-019-1507-0
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Since the first cellular networks were trialled in the 1970s, we have witnessed an incredible wireless revolution. From 1G to 4G, the massive traffic growth has been managed by a combination of wider bandwidths, refined radio interfaces, and network densification, namely increasing the number of antennas per site. Due its cost-efficiency, the latter has contributed the most. Massive MIMO (multiple-input multiple-output) is a key 5G technology that uses massive antenna arrays to provide a very high beamforming gain and spatially multiplexing of users and hence increases the spectral and energy efficiency (see references herein). It constitutes a centralized solution to densify a network, and its performance is limited by the inter-cell interference inherent in its cell-centric design. Conversely, ubiquitous cell-free Massive MIMO refers to a distributed Massive MIMO system implementing coherent user-centric transmission to overcome the inter-cell interference limitation in cellular networks and provide additional macro-diversity. These features, combined with the system scalability inherent in the Massive MIMO design, distinguish ubiquitous cell-free Massive MIMO from prior coordinated distributed wireless systems. In this article, we investigate the enormous potential of this promising technology while addressing practical deployment issues to deal with the increased back/front-hauling overhead deriving from the signal co-processing.
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页数:13
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