scholarly journals A Multi-stage Greedy Power Allocation scheme for average downlink system throughput maximization

2010 ◽  
Vol 7 (24) ◽  
pp. 1778-1784
Author(s):  
Janghoon Yang ◽  
Dong Ku Kim
Keyword(s):  
Power Allocation ◽  
Throughput Maximization ◽  
System Throughput ◽  
Allocation Scheme ◽  
Multi Stage ◽  
Downlink System

scholarly journals Deep Learning-Based Long-Term Power Allocation Scheme for NOMA Downlink System in S-IoT

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 86288-86296 ◽  
Author(s):  
Yunyu Sun ◽  
Ye Wang ◽  
Jian Jiao ◽  
Shaohua Wu ◽  
Qinyu Zhang
Keyword(s):  
Deep Learning ◽  
Power Allocation ◽  
Allocation Scheme ◽  
Downlink System

scholarly journals A QoS-based joint user association and resource allocation scheme in ultra-dense networks

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Zhiwei Si ◽  
Gang Chuai ◽  
Weidong Gao ◽  
Jinxi Zhang ◽  
Xiangyu Chen ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Power Allocation ◽  
System Capacity ◽  
System Throughput ◽  
User Association ◽  
Allocation Scheme ◽  
Dense Networks ◽  
Virtual Cell ◽  
Resource Allocation Scheme ◽  
Inter Cell Interference

AbstractUltra-dense networks (UDNs) have become an important architecture for the fifth generation (5G) networks. A large number of small base stations (SBSs) are deployed to provide high-speed and seamless connections for users in the network. However, the advantage of increasing the system capacity brought by the dense distribution of SBSs comes at the cost of severe inter-cell interference. Although the user-centric virtual cell method has been proposed to solve the interference problem, some challenges have been encountered in practical applications. For example, inter-cell interference still exists to a certain extent, and the cell load may be imbalance. Hence, under the virtual cell architecture, we propose a quality of service (QoS)-based joint user association and resource allocation scheme in UDNs. In order to mitigate the interference, balance cell load and improve the system throughput, a non-convex NP-hard problem is formulated. To effectively solve this problem, we decouple the formulated problem into three sub-problems: user association, physical resource block (PRB) allocation and power allocation. First, we consider the QoS requirements of user equipment (UE) and perform user association based on the PRB estimation method. Then, based on the overlapped virtual cells constructed, we propose a graph-based PRB allocation scheme for reducing virtual inter-cell interference. Moreover, we solve power allocation sub-problem by using the difference of concave (DC) programing method. The simulation results show that our proposed scheme is superior to other schemes in terms of user rates, cell load and system throughput.

Dynamic Subcarrier and Power Allocation Based on Nash Bargaining Solution in Symmetric Cooperative OFDMA Networks

2011 ◽  
Vol 187 ◽  
pp. 510-515
Author(s):  
Wei Liu ◽  
Jing Min Tang
Keyword(s):  
Power Allocation ◽  
Nash Bargaining Solution ◽  
Nash Bargaining ◽  
Bargaining Solution ◽  
Subcarrier Allocation ◽  
Allocation Scheme ◽  
Allocation Algorithm ◽  
Cooperative Scheme ◽  
Joint Resource Allocation ◽  
Adaptive Power

In this paper, subcarrier and power allocation are jointly considered in a three-node symmetric cooperation orthogonal frequency-division multiple access uplink system. With the help of Nash bargaining solution, the dynamic subcarrier allocation scheme and the adaptive power allocation scheme are proposed for joint optimization. The joint resource allocation is decomposed and solved by dynamic subcarrier allocation algorithm and adaptive power allocation algorithm. Simulation results show the effectiveness of the proposed cooperative scheme.

Sign in / Sign up

Export Citation Format

Share Document