Resource Allocation for Outdoor-to-Indoor Multicarrier Transmission with Shared UE-side Distributed Antenna Systems

TL;DR

This paper proposes a resource allocation algorithm for outdoor-to-indoor multicarrier transmission using a shared UE-side distributed antenna system, improving system throughput by joint optimization of user selection and transceiver design.

Contribution

It introduces a novel joint optimization framework for resource allocation in SUDAS, leveraging channel diagonalization and scalar optimization for enhanced throughput.

Findings

Achieves significant system throughput improvements.

Provides spatial multiplexing gains for single-antenna UEs.

Demonstrates the effectiveness of the proposed algorithm through simulations.

Abstract

In this paper, we study the resource allocation algorithm design for downlink multicarrier transmission with a shared user equipment (UE)-side distributed antenna system (SUDAS) which utilizes both licensed and unlicensed frequency bands for improving the system throughput. The joint UE selection and transceiver processing matrix design is formulated as a non-convex optimization problem for the maximization of the end-to-end system throughput (bits/s). In order to obtain a tractable resource allocation algorithm, we first show that the optimal transmitter precoding and receiver post-processing matrices jointly diagonalize the end-to-end communication channel. Subsequently, the optimization problem is converted to a scalar optimization problem for multiple parallel channels, which is solved by using an asymptotically optimal iterative algorithm. Simulation results illustrate that the proposed resource allocation algorithm for the SUDAS achieves an excellent system performance and provides a spatial multiplexing gain for single-antenna UEs.