Resource Allocation for Outdoor-to-Indoor Amplify-and-Forward SUDAS with Independent Relay Processing

In this work, we study resource allocation for a downlink multicarrier outdoor-to-indoor transmission system employing a shared user equipment (UE)-side distributed antenna system (SUDAS) with independently operating amplifyand-forward (AF) relays which utilize both licensed and unlicensed frequency bands to enhance indoor data throughput and coverage. We formulate a non-convex matrix-valued resource allocation problem for maximization of the sum rate. The nonconvex problem is simplified to a scalar optimization problem using an approximation in order to obtain a low-complexity algorithm based on alternating optimization (AO). Simulation results illustrate that despite the simplification, the proposed algorithm achieves excellent performance in terms of the sum rate and closely approaches the max-flow min-cut upper bound. The proposed SUDAS scheme facilitates low-complexity outdoor-to-indoor communication for next-generation wireless systems.