Uplink spectrum resource allocation in heterogeneous networks (small cell/macrocell)

2014 ◽  
Vol 70 (7-8) ◽  
pp. 311-319 ◽  
Author(s):  
Mncedisi Bembe ◽  
Jeongchan Kim ◽  
Martin Mhlanga ◽  
Jae Jeung Rho ◽  
Youngnam Han
Keyword(s):  
Resource Allocation ◽  
Heterogeneous Networks ◽  
Small Cell

scholarly journals Resource Allocation for Intelligent Reflecting Surface Enabled Heterogeneous Networks

2020 ◽  
Author(s):  
Yongjun Xu ◽  
Zhijin Qin ◽  
Yu Zhao ◽  
Guoquan Li ◽  
Guan Gui ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Phase Shift ◽  
Power Allocation ◽  
Heterogeneous Networks ◽  
Communication Systems ◽  
Base Station ◽  
Small Cell ◽  
Joint Power ◽  
User Scenario ◽  
Reflecting Surface

Intelligent reflecting surface (IRS)-enabled communication systems provide higher system capacity and spectral efficiency by reflecting the incident signals from transmitters in a low-cost passive reflecting way. However, it poses new challenges in resource allocation due to surrounding interference and phase shift, especially when IRS is employed in heterogeneous networks (HetNets). In this paper, a joint power allocation and phase shift optimization problem is studied for the downlink IRS-enabled HetNet, in which the IRS is deployed to enhance the communications between small cell users (SCUs) and associated base station (BS). The signal-to-interference-plus-noise ratio (SINR) received at the SCU is maximized by jointly optimizing the transmit power of the small-cell BS and the phase shift of the IRS, subject to the constraints on the minimum SINR requirement of the macro-cell user (MCU) and the phase shift. Although the formulated problem is non-convex, we develop an optimal power allocation and the IRS's passive array coefficient solution for the single-user scenario. For the multi-user scenario, we propose an iterative algorithm to maximize the total rates of SCUs for obtaining a suboptimal solution by an alternating iteration manner, where the sum of multiple-ratio fractional programming problem is converted into a convex semidefinite program (SDP) problem. Simulation results show that the proposed algorithm significantly improves the achieved transmission rates of SCUs compared to the case without the IRS.

scholarly journals A Review on Resource Allocation Techniques in Small Cell LTE-A Heterogeneous Networks

IJARCCE ◽  
2016 ◽  
Vol 5 (12) ◽  
pp. 492-497
Author(s):  
Amandeep A ◽  
Sanjeev Kumar
Keyword(s):  
Resource Allocation ◽  
Heterogeneous Networks ◽  
Small Cell

scholarly journals Resource Allocation for Intelligent Reflecting Surface Enabled Heterogeneous Networks

2020 ◽  
Author(s):  
Yongjun Xu ◽  
Zhijin Qin ◽  
Yu Zhao ◽  
Guoquan Li ◽  
Guan Gui ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Phase Shift ◽  
Power Allocation ◽  
Heterogeneous Networks ◽  
Communication Systems ◽  
Base Station ◽  
Small Cell ◽  
Joint Power ◽  
User Scenario ◽  
Reflecting Surface

Intelligent reflecting surface (IRS)-enabled communication systems provide higher system capacity and spectral efficiency by reflecting the incident signals from transmitters in a low-cost passive reflecting way. However, it poses new challenges in resource allocation due to surrounding interference and phase shift, especially when IRS is employed in heterogeneous networks (HetNets). In this paper, a joint power allocation and phase shift optimization problem is studied for the downlink IRS-enabled HetNet, in which the IRS is deployed to enhance the communications between small cell users (SCUs) and associated base station (BS). The signal-to-interference-plus-noise ratio (SINR) received at the SCU is maximized by jointly optimizing the transmit power of the small-cell BS and the phase shift of the IRS, subject to the constraints on the minimum SINR requirement of the macro-cell user (MCU) and the phase shift. Although the formulated problem is non-convex, we develop an optimal power allocation and the IRS's passive array coefficient solution for the single-user scenario. For the multi-user scenario, we propose an iterative algorithm to maximize the total rates of SCUs for obtaining a suboptimal solution by an alternating iteration manner, where the sum of multiple-ratio fractional programming problem is converted into a convex semidefinite program (SDP) problem. Simulation results show that the proposed algorithm significantly improves the achieved transmission rates of SCUs compared to the case without the IRS.

Resource Allocation in THz Unmanned Aerial Vehicles-based Heterogeneous Networks

2021 ◽  
Author(s):  
Toqa Reda Kamel ◽  
Dina Mohamed Sherif ◽  
Engy Maher ◽  
Ahmed El-Mahdy
Keyword(s):  
Resource Allocation ◽  
Unmanned Aerial Vehicles ◽  
Heterogeneous Networks ◽  
Aerial Vehicles

Enhanced Bat Algorithm for Resource Allocation in Wireless Heterogeneous Networks

2021 ◽  
Author(s):  
Liwei Yang ◽  
Furong Zhu ◽  
Xinlai Liu ◽  
Wencong Lai ◽  
Wenyi Li ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Heterogeneous Networks ◽  
Bat Algorithm ◽  
Wireless Heterogeneous Networks
Sign in / Sign up

Export Citation Format

Share Document