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Low-complexity downlink user selection for massive MIMO systems

Low-complexity downlink user selection for massive MIMO systems
Low-complexity downlink user selection for massive MIMO systems
In this paper we propose a pair of low-complexity user selection schemes with zero-forcing precoding for multiuser massive MIMO downlink systems, in which the base station is equipped with a large-scale antenna array. First, we derive approximations of the ergodic sum rates of the systems invoking the conventional random user selection (RUS) and the location-dependant user selection (LUS). Then, the optimal number of simultaneously served user equipments (UEs), K*, is investigated to maximize the sum rate approximations. Upon exploiting K*, we develop two user selection schemes, namely K*-RUS and K*-LUS, where K* UEs are selected either randomly or based on their locations. Both of the proposed schemes are independent of the instantaneous channel state information of small-scale fading, therefore enjoying the same extremely-low computational complexity as that of the conventional RUS scheme. Moreover, both of our proposed schemes achieve significant sum rate improvement over the conventional RUS. In addition, it is worth noting that like the conventional RUS, the K*-RUS achieves good fairness among UEs.
user selection, massive MIMO, low-complexity, system sum rate, user fairness
1932-8184
Liu, Haijing
015671a0-46ed-47a4-a93f-db8f7296d307
Gao, Hui
d1b095e6-df29-4eb6-b7fb-efa6baf8e162
Yang, Shaoshi
df1e6c38-ff3b-473e-b36b-4820db908e60
Lv, Tiejun
fb465673-1068-4cae-bb94-93ab1dd63f4d
Liu, Haijing
015671a0-46ed-47a4-a93f-db8f7296d307
Gao, Hui
d1b095e6-df29-4eb6-b7fb-efa6baf8e162
Yang, Shaoshi
df1e6c38-ff3b-473e-b36b-4820db908e60
Lv, Tiejun
fb465673-1068-4cae-bb94-93ab1dd63f4d

Liu, Haijing, Gao, Hui, Yang, Shaoshi and Lv, Tiejun (2015) Low-complexity downlink user selection for massive MIMO systems. [in special issue: 5G Wireless Systems with Massive MIMO] IEEE Systems Journal. (doi:10.1109/JSYST.2015.2422475).

Record type: Article

Abstract

In this paper we propose a pair of low-complexity user selection schemes with zero-forcing precoding for multiuser massive MIMO downlink systems, in which the base station is equipped with a large-scale antenna array. First, we derive approximations of the ergodic sum rates of the systems invoking the conventional random user selection (RUS) and the location-dependant user selection (LUS). Then, the optimal number of simultaneously served user equipments (UEs), K*, is investigated to maximize the sum rate approximations. Upon exploiting K*, we develop two user selection schemes, namely K*-RUS and K*-LUS, where K* UEs are selected either randomly or based on their locations. Both of the proposed schemes are independent of the instantaneous channel state information of small-scale fading, therefore enjoying the same extremely-low computational complexity as that of the conventional RUS scheme. Moreover, both of our proposed schemes achieve significant sum rate improvement over the conventional RUS. In addition, it is worth noting that like the conventional RUS, the K*-RUS achieves good fairness among UEs.

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Accepted/In Press date: April 2015
Keywords: user selection, massive MIMO, low-complexity, system sum rate, user fairness
Organisations: Southampton Wireless Group

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Local EPrints ID: 375401
URI: https://eprints.soton.ac.uk/id/eprint/375401
ISSN: 1932-8184
PURE UUID: b8a77805-ad6b-461e-9f34-572f06bb960a

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Date deposited: 30 Mar 2015 08:26
Last modified: 17 Jul 2017 21:17

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