New Power Minimization Techniques in Hybrid Distributed Antenna Systems With Orthogonal and Non-Orthogonal Multiple Access

• Published in: IEEE transactions on green communications and networking Vol. 3; no. 3; pp. 679 - 690
• Main Authors: Kilzi, Antoine, Farah, Joumana, Nour, Charbel Abdel, Douillard, Catherine
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.09.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Allocations; Antenna arrays; Antennas; Computer architecture; Computer Science; Computer simulation; Distributed antenna systems; hybrid antenna deployment; Hybrid power systems; Hybrid systems; Information Theory; Microprocessors; Multiplexing; Networking and Internet Architecture; NOMA; Nonorthogonal multiple access; Optimization; power allocation; Power management; resource allocation; Resource management; waterfilling; Wideband communications; power allocation; resource allocation; hybrid antenna deployment; Distributed antenna systems; waterfilling
• ISSN: 2473-2400; 2473-2400
• DOI: 10.1109/TGCN.2019.2916325

Distributed antenna systems (DASs) have been proposed as a solution to supply the ever increasing capacity demands in next generation networks. This paper considers the power minimization problem in hybrid DAS where antennas are supplied by various-low power and high power-energy sources. Antenna-specific power limits are considered and the problem is reformulated in this new hybrid context. The optimal power allocation problem is first formulated and solved in the orthogonal multiplexing scenario. Different resource allocations schemes based on this optimal power allocation are then proposed for the orthogonal and non-orthogonal multiplexing contexts. Simulation results illustrate the efficiency of the proposed algorithms and show the importance of non-orthogonal multiplexing in the reduction of the total transmission power, especially in hybrid antenna systems.