Non-Orthogonal Pilot Analysis for Single-Cell Massive MIMO Circumstances

2019 ◽  
Vol E102.B (4) ◽  
pp. 901-912
Author(s):  
Pengxiang LI ◽  
Yuehong GAO ◽  
Zhidu LI ◽  
Hongwen YANG
Keyword(s):  
Single Cell ◽  
Massive Mimo

A Pilot Assignment Scheme for Single-Cell Massive MIMO Circumstances

2017 ◽  
Author(s):  
Pengxiang Li ◽  
◽  
Yuehong Gao ◽  
Zhidu Li ◽  
Xin Zhang ◽  
...  
Keyword(s):  
Single Cell ◽  
Massive Mimo ◽  
Assignment Scheme

scholarly journals Energy Efficiency Optimization of Massive MIMO Systems Based on the Particle Swarm Optimization Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jing Yang ◽  
Liping Zhang ◽  
Chunhua Zhu ◽  
Xinying Guo ◽  
Jiankang Zhang
Keyword(s):  
Energy Efficiency ◽  
Particle Swarm Optimization ◽  
Single Cell ◽  
Iterative Algorithm ◽  
Massive Mimo ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Base Station ◽  
Imperfect Csi ◽  
Swarm Optimization

As one of the key technologies in the fifth generation of mobile communications, massive multi-input multioutput (MIMO) can improve system throughput and transmission reliability. However, if all antennas are used to transmit data, the same number of radiofrequency chains is required, which not only increases the cost of system but also reduces the energy efficiency (EE). To solve these problems, in this paper, we propose an EE optimization based on the particle swarm optimization (PSO) algorithm. First, we consider the base station (BS) antennas and terminal users and analyze their impact on EE in the uplink and downlink of a single-cell multiuser massive MIMO system. Second, a dynamic power consumption model is used under zero-forcing processing, and it obtains the expression of EE that is used as the fitness function of the PSO algorithm under perfect and imperfect channel state information (CSI) in single-cell scenarios and imperfect CSI in multicell scenarios. Finally, the optimal EE value is obtained by updating the global optimal positions of the particles. The simulation results show that compared with the traditional iterative algorithm and artificial bee colony algorithm, the proposed algorithm not only possesses the lowest complexity but also obtains the highest optimal value of EE under the single-cell perfect CSI scenario. In the single-cell and multicell scenarios with imperfect CSI, the proposed algorithm is capable of obtaining the same or slightly lower optimal EE value than that of the traditional iterative algorithm, but the running time is at most only 1/12 of that imposed by the iterative algorithm.

scholarly journals Optimal Pilot and Payload Power Control in Single-Cell Massive MIMO Systems

2017 ◽  
Vol 65 (9) ◽  
pp. 2363-2378 ◽  
Author(s):  
Hei Victor Cheng ◽  
Emil Bjornson ◽  
Erik G. Larsson
Keyword(s):  
Power Control ◽  
Single Cell ◽  
Massive Mimo ◽  
Mimo Systems
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