Abstract
Abstract We propose an interference-aware user selection scheme for uplink multiuser multiple-input multiple-output systems in a multicell environment. The proposed scheme works in a distributed manner. Each mobile station determines its transmit beamforming vector based on the locally available channel state information, and informs the associated base station (BS) of the amount of potential interference caused to adjacent cells along with the resulting beamforming vector. Then, the BS selects a set of users to be served simultaneously with consideration of intercell interference. The user selection scheme is devised either to maximize the sum rate or to achieve proportional fairness among users. For each case, we derive an optimal user selection criterion and propose a suboptimal distributed user selection algorithm with low complexity. Simulation results confirm that the proposed scheme offers significant throughput enhancement due to reduction of the intercell interference in a multicell environment.
Highlights
Multiuser multiple-input multiple-output (MU-MIMO) is widely accepted as a key technology for enabling highspeed wireless access
Since the achievable rate is affected by the intercell interference, the optimal design for transmit beamforming and user selection needs a system-wide centralized optimization, which requires a lot of feedback and huge signaling overhead among cells, making the algorithm impractical
Simulation results we evaluate the performance of the transmit beamforming and user selection algorithms discussed in Sections 3 and 4 using computer simulations
Summary
Multiuser multiple-input multiple-output (MU-MIMO) is widely accepted as a key technology for enabling highspeed wireless access. Since the achievable rate is affected by the intercell interference, the optimal design for transmit beamforming and user selection needs a system-wide centralized optimization, which requires a lot of feedback and huge signaling overhead among cells, making the algorithm impractical. Each MS determines its transmit beamforming vector based on the locally available CSI and calculates the amount of potential interference caused to adjacent cells. The eigenvalue of MAX-SGINR beamforming effectively reduces the interference to adjacent cells while maintaining the desired signal power It is shown in [7] that the MAX-SGINR beamforming approximately maximizes the total sum rate for multipleinput single-output systems in a two-cell environment. We begin with a conventional user selection algorithm for sum rate maximization, which was proposed for a single cell environment. Like the approach used for the total sum rate maximization, we propose to estimate
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