Abstract
Massive multiple-input multiple-output (MIMO) systems are strong candidates for future fifth-generation (5G) heterogeneous cellular networks. For 5G, a network densification with a high number of different classes of users and data service requirements is expected. Such a large number of connected devices needs to be separated in order to allow the detection of the transmitted signals according to different data requirements. In this paper, a decoupled signal detection (DSD) technique which allows the separation of the uplink signals, for each user class, at the base station (BS) is proposed for massive MIMO systems. A mathematical signal model for massive MIMO systems with centralized and distributed antennas in heterogeneous networks is also developed. The performance of the proposed algorithm is evaluated and compared with existing detection schemes in a realistic scenario with distributed antennas. A sum-rate analysis and a computational cost study for DSD are also presented. Simulation results show an excellent performance of the proposed algorithm when combined with linear and successive interference cancellation detection techniques.
Highlights
Large-scale multiple-input multiple-output (MIMO) systems, known as massive MIMO, are a promising technology which use a large number of antennas to serve a high number of user terminals at the same time without requiring extra bandwidth resources [1,2,3,4]
In this paper we focus on the uplink, the reason is that the most natural transmission mode to operate in massive MIMO is the time-division duplexing (TDD) mode, where a reciprocity between the uplink and downlink channels can be obtained, if we use appropriate calibration techniques to combat the distortions induced by hardware imperfections, since the base station can offer more processing resources aimed at estimating the channel between users’ terminals and the BS
In this context, distributed antenna systems (DAS) with massive MIMO are a promising alternative for the 5G cellular architecture [14], where the BS will be equipped with a large number of antennas and some remote antenna arrays or radio heads will be distributed around the cell and connected to the BS via optical fiber
Summary
Large-scale multiple-input multiple-output (MIMO) systems, known as massive MIMO, are a promising technology which use a large number of antennas to serve a high number of user terminals at the same time without requiring extra bandwidth resources [1,2,3,4]. The received signals from this large number of connected devices such as metering equipment, sensors, environmental monitoring devices, health care gadgets, security management products, smart grid components, smart phones, and tablets need to be separated in order to detect the transmitted information according to their different data requirements In this context, distributed antenna systems (DAS) with massive MIMO are a promising alternative for the 5G cellular architecture [14], where the BS will be equipped with a large number of antennas and some remote antenna arrays or radio heads will be distributed around the cell and connected to the BS via optical fiber. From (10), we can see that the nth user class has inter-user class interference
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