Sum-Power Minimization Under Rate Constraints in Full-Duplex MIMO Systems
Authors
Abstract
Energy consumption in wireless communication systems is exponentially increasing due to growing wireless traffic. Combating adverse effects of excessive energy consumption calls for energy- aware system design, leading to a new research paradigm, green communications. To achieve energy awareness in a full-duplex (FD) bi-directional multiple antenna system, in this paper, we study a Quality-of-Service (QoS) problem, where the total transmit power is minimized subject to minimum rate constraints at each node, and propose two algorithms. We first apply a penalty-based method in order to obtain an efficient optimization strategy. Afterwards, in the second algorithm, we generalize the well-known relationship between Weighted-Sum-Rate (WSR) andWeightedMinimum-Mean- Squared-Error (WMMSE) problems, originally used to solve the sum-rate maximization problem, to tackle the sum-power minimization problem.
BibTEX Reference Entry
@inproceedings{CiTaLaMaHu16b, author = {Ali Cagatay Cirik and Omid Taghizadeh and Lutz Lampe and Rudolf Mathar and Yingbo Hua}, title = "Sum-Power Minimization Under Rate Constraints in Full-Duplex {MIMO} Systems", pages = "1-5", booktitle = "{IEEE} VTC 2016 Fall", address = {Montreal, Canada}, doi = 10.1109/VTCFall.2016.7881244, month = Sep, year = 2016, hsb = RWTH-2017-03214, }