more complicated and expensive hardware, including analog-to-digital converters with higher sampling rate, filters with wider bandwidth, larger RAM to store the digital samples, and faster CPU to process the digital samples. [1] S. Zhang, S. C. Liew, and P. P. Lam, "Hot topic: Physical-layer network coding," in Proc. ACM Abstract-Non-orthogonal multiple access (NOMA) is considered as a promising technology for improving the spectral efficiency in fifthgeneration systems. In this correspondence, we study the benefit of NOMA in enhancing energy efficiency (EE) for a multiuser downlink transmission, wherein the EE is defined as the ratio of the achievable sum rate of the users to the total power consumption. Our goal is to maximize EE subject to a minimum required data rate for each user, which leads to a nonconvex fractional programming problem. To solve it, we first establish the feasible range of the transmitting power that is able to support each user's data rate requirement. Then, we propose an EE-optimal power allocation strategy that maximizes EE. Our numerical results show that NOMA has superior EE performance in comparison with conventional orthogonal multiple access. Index Terms-Energy efficiency (EE), fractional programming optimization, non-orthogonal multiple access (NOMA), power allocation.
In REF , authors proposed a power allocation scheme to maximize network energy-efficiency (EE), defined as the ratio between the achievable sum rate of the users and the total BS power consumption.
Energy-Efficient Transmission Design in Non-orthogonal Multiple Access
IEEE Transactions on Vehicular Technology
IEEE Transactions on Vehicular Technology
Computer Science Mathematics