Abstract
Accommodating massive connectivity for Internet of Things (IoT) applications is considered an important goal of future 5G cellular systems. Nonorthogonal multiple access (NOMA), which enables a group of mobile users to simultaneously share the same spectrum channel for transmission, provides an efficient approach to achieve the goals of spectrum-efficient data delivery. In this paper, we consider an uplink transmission in a sensor network in which a group of smart terminals (e.g., sensors) use NOMA to send their collected data to an access point. We aim to minimize the total radio resource consumption cost, including the cost for the channel usage and the cost for all senors’ energy consumption to allow the sensors to complete their data delivery requirements. Specifically, we formulate a joint optimization of the decoding-order, transmit-power and time allocations to study this problem and propose an efficient algorithm to find the optimal solution. Numerical results are provided to validate our proposed algorithm and the performance advantage of our proposed joint optimization for the uplink data collection via NOMA transmission.
Highlights
Accommodating massive connectivity for machine-type communications is considered one of the crucial goals of future fifth generation (5G) cellular systems
We set up a scenario in which the access point (AP) is located at (0 m, 0 m), and the group of smart terminals (STs) are uniformly distributed within a plane whose central is the AP and the radius is
We investigated the uplink transmission in a sensor network in which a group of STs use Nonorthogonal multiple access (NOMA) to send their collected data to an AP
Summary
Accommodating massive connectivity for machine-type communications is considered one of the crucial goals of future fifth generation (5G) cellular systems. Nonorthogonal multiple access (NOMA), which enables a group of smart terminals (STs) (e.g., the Internet of Things devices) to share the same frequency channel simultaneously and further utilizes successive interference cancellation (SIC) to reduce the co-channel interference, has provided a promising solution towards achieving this important goal [1,2,3,4]. Compared with conventional orthogonal multiple access (OMA), which allocates orthogonal resource blocks to smart terminals and suffers from the limited number of available resource blocks, NOMA has been envisioned to facilitate massive connectivity for a large number of STs’ data deliveries in a spectrum-efficient manner. Many studies have been devoted to investigating the power allocation for NOMA. In reference [5], Zhu et al investigated the optimal power allocation with a given channel assignment under different performance criteria (e.g., the max-min fairness and the weighted sum rate maximization)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
