scholarly journals Energy-Efficient Resource Allocation in Uplink Multiuser Massive MIMO Systems

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Ying Hu ◽  
Baofeng Ji ◽  
Yongming Huang ◽  
Fei Yu ◽  
Luxi Yang
Keyword(s):  
Resource Allocation ◽  
Antenna Arrays ◽  
Energy Efficient ◽  
Mimo Systems ◽  
Optimal Solution ◽  
Base Station ◽  
Green Communications ◽  
Resource Allocation Algorithm ◽  
Efficient Resource ◽  
Energy Efficient Resource Allocation

Energy-efficient communications, namely, green communications, has attracted increasing attention due to energy shortage and greenhouse effect. Motivated by this, we consider the uplink energy-efficient resource allocation in multiuser massive multiple-input multiple-output (MIMO) systems. Specifically, we consider that both the number of antenna arrays at the base station (BS) and the transmit data rate at UE are adjusted adaptively to maximize the energy efficiency. Firstly, we demonstrate the existence of a unique resource allocation solution that is globally optimal by exploiting the properties of objective function. Then we develop an iterative algorithm to solve it. By transforming the originally fractional optimization problem into an equivalent subtractive form using the properties of fractional programming, we develop another efficient iterative resource allocation algorithm. Simulation results have validated the effectiveness of the proposed two algorithms and have shown that both algorithms can fast converge to a near-optimal solution in a small number of iterations.

scholarly journals Energy-Efficient Resource Allocation for NOMA-based Backscatter Communications

2020 ◽  
Author(s):  
Yongjun Xu ◽  
Zhijin Qin ◽  
Guan Gui
Keyword(s):  
Resource Allocation ◽  
Energy Efficient ◽  
Power Efficiency ◽  
Multiple Access ◽  
Base Station ◽  
Spectrum Efficiency ◽  
Quadratic Transformation ◽  
Backscatter Communication ◽  
Efficient Resource ◽  
Energy Efficient Resource Allocation

Backscatter communication (BackCom) is a promising technique for achieving high spectrum efficiency and power efficiency in the future Internet of Things systems. The capacity of BackCom networks can be maximized by optimizing the backscatter time and the reflection coefficient (RC). However, system energy efficiency (EE) cannot be guaranteed usually. In this paper, we investigate the energy-efficient resource allocation problem of a non-orthogonal multiple access (NOMA)-based BackCom. Particularly, the base station (BS) transmits signals to two cellular users based on the NOMA protocol, meanwhile, a backscatter device backscatters the signals to users using the passive radio technology. The total EE of the considered system is maximized by jointly optimizing power allocation for each NOMA user and the RC of backscatter device where the decoding order and the quality of service (QoS) of each user are guaranteed. To solve such a non-convex problem, we develop an efficient iterative algorithm to obtain the optimal solutions by using Dinkelbach's method and the quadratic transformation approach. Numerical results show that the proposed algorithm can significantly improve the system EE compared with the orthogonal multiple access (OMA) scheme and the NOMA system without backscatter devices.

Sign in / Sign up

Export Citation Format

Share Document