In this paper, we study the joint resource allocation algorithm design fordownlink and uplink multicarrier transmission assisted by a shared userequipment (UE)-side distributed antenna system (SUDAS). The proposed SUDASsimultaneously utilizes licensed frequency bands and unlicensed frequencybands, (e.g. millimeter wave bands), to enable a spatial multiplexing gain forsingle-antenna UEs to improve energy efficiency and system throughput of $5$-thgeneration (5G) outdoor-to-indoor communication. The design of the UEselection, the time allocation to uplink and downlink, and the transceiverprocessing matrix is formulated as a non-convex optimization problem for themaximization of the end-to-end system energy efficiency (bits/Joule). Theproposed problem formulation takes into account minimum data rate requirementsfor delay sensitive UEs and the circuit power consumption of all transceivers.In order to design a tractable resource allocation algorithm, we first showthat the optimal transmitter precoding and receiver post-processing matricesjointly diagonalize the end-to-end communication channel for both downlink anduplink communication via SUDAS. Subsequently, the matrix optimization problemis converted to an equivalent scalar optimization problem for multiple parallelchannels, which is solved by an asymptotically globally optimal iterativealgorithm. Besides, we propose a suboptimal algorithm which finds a locallyoptimal solution of the non-convex optimization problem. Simulation resultsillustrate that the proposed resource allocation algorithms for SUDAS achieve asignificant performance gain in terms of system energy efficiency and spectralefficiency compared to conventional baseline systems by offering multipleparallel data streams for single-antenna UEs.
展开▼
