Abstract
In this paper, the outage behavior and diversity order of the mixture transceiver architecture for multiple-input single-output broadcast channels are analyzed. The mixture scheme groups users with closely-aligned channels and applies superposition coding and successive interference cancellation decoding to each group composed of users with closely-aligned channels, while applying zero-forcing beamforming across semi-orthogonal user groups. In order to enable such analysis, closed-form lower bounds on the achievable rates of a general multiple-input single-output broadcast channel with superposition coding and successive interference cancellation are newly derived. By employing channel-adaptive user grouping and proper power allocation, which ensures that the channel subspaces of user groups have angle larger than a certain threshold, it is shown that the mixture transceiver architecture achieves full diversity order in multiple-input single-output broadcast channels and opportunistically increases the multiplexing gain while achieving full diversity order. Furthermore, the achieved full diversity order is the same as that of the single-user maximum ratio transmit beamforming. Hence, the mixture scheme can provide reliable communication under channel fading for ultra-reliable low latency communication. Numerical results validate our analysis and show the outage superiority of the mixture scheme over conventional transceiver designs for multiple-input single-output broadcast channels.
Highlights
The MU-multiple-input single-output (MISO) broadcast channels (BCs) model is an important channel model which captures modern cellular downlink communication in which a base station (BS) equipped with multiple transmit antennas simultaneously serves multiple receivers each equipped with a single receive antenna at the same time-and-frequency resource block by using the spatial domain
To enable analysis of the outage probability and diversity order of the proposed mixture transceiver architecture, we derive a new lower bound on the achievable rate of each user in closed form in terms of each user’s channel norm for a MU-MISO BC with superposition coding and successive interference cancellation (SIC) decoding with an arbitrary number of users
In this paper, we have proposed a new transceiver architecture for K-user MISO BCs, based on channel-adaptive user grouping and mixture of linear and nonlinear SIC reception, and have shown that it is possible to achieve the same diversity order as that of the single-user maximum ratio transmit (MRT) beamforming even for K-user MISO BCs under independent Rayleigh channel fading based on the proposed transceiver architecture
Summary
The MU-MISO BC model is an important channel model which captures modern cellular downlink communication in which a base station (BS) equipped with multiple transmit antennas simultaneously serves multiple receivers each equipped with a single receive antenna at the same time-and-frequency resource block by using the spatial domain. In [14], under the assumption of two users in each group, closed-form beam vectors are obtained to minimize the transmit power under a signal-to-interference-plus-noise ratio (SINR) constraint for each user based on quasidegradation, and it was shown that such a mixture architecture based on two-user grouping increases the diversity order by one as compared to the conventional ZF downlink beamforming. To enable analysis of the outage probability and diversity order of the proposed mixture transceiver architecture, we derive a new lower bound on the achievable rate of each user in closed form in terms of each user’s channel norm for a MU-MISO BC with superposition coding and SIC decoding with an arbitrary number of users (not limited as two). Design of the signal vector x and receiver processing based on {y1, y2, · · · , yK} will be explained in the subsequent sections
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