Achievable Throughput of Energy Harvesting Fading Multiple-Access Channels Under Statistical QoS Constraints

• Published in: IEEE transactions on wireless communications Vol. 17; no. 5; pp. 2906 - 2917
• Main Authors: Qiao, Deli, Han, Jingwen
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Arrivals; Channels; Cybersecurity; Decoding; effective capacity; Energy; Energy harvesting; Fading; Fading channels; multiple-access channels; Power control; Quality of service; Statistical analysis; statistical delay constraints; Superposition (mathematics); Time Division Multiple Access; Transmitters; Wireless communication
• ISSN: 1536-1276; 1558-2248
• DOI: 10.1109/TWC.2018.2804386

This paper studies the achievable throughput of fading multiple-access channels (MACs) with energy harvesting transmitters subject to statistical quality of service (QoS) constraints in the form of limitations on the buffer overflow probability. Effective capacity, which characterizes the maximum constant arrival rate that a given process can support while satisfying the QoS constraints, is employed as the performance metric. Perfect channel state information (CSI) and energy arrivals are assumed to be available at both the transmitters and the receiver. With the assumption of naive power control scheme, in which the transmission power level is irrespective of the CSI and decided by the instantaneous harvested energy, the effective throughput regions of time division multiple access and superposition coding (SC) with fixed decoding are characterized. In the special case of the same QoS constraints, the optimal decoding order strategy for SC with variable decoding order is obtained. With the assumption that the channel states and harvested energy in all time slots are known at the transmitters, the point-to-point link is first revisited. Then, for a given decoding order strategy in two-user MACs, a suboptimal power control policy based on the average energy arrivals and causal energy and channel information is proposed and shown to achieve performance close to the optimal one.