Joint resource block and power allocation in heterogeneous cellular networks with different backhaul capacity limitations

2020 ◽  
Vol 31 (9) ◽  
Author(s):  
Handan Zheng ◽  
Li Li
Keyword(s):  
Power Allocation ◽  
Cellular Networks ◽  
Resource Block ◽  
Heterogeneous Cellular Networks ◽  
Capacity Limitations

Power Allocation for Intelligent Interference Exploitation Aided Physical-Layer Security in OFDM-Based Heterogeneous Cellular Networks

2020 ◽  
Vol 69 (3) ◽  
pp. 3021-3033
Author(s):  
Yuhan Jiang ◽  
Yulong Zou ◽  
Haiyan Guo ◽  
Jia Zhu ◽  
Jiahao Gu
Keyword(s):  
Power Allocation ◽  
Cellular Networks ◽  
Physical Layer Security ◽  
Physical Layer ◽  
Heterogeneous Cellular Networks

scholarly journals Joint User Association and Energy Offloading in Downlink Heterogeneous Cellular Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Rui Li ◽  
Ning Cao ◽  
Minghe Mao ◽  
Yunfei Chen ◽  
Yifan Hu
Keyword(s):  
Power Allocation ◽  
Cellular Networks ◽  
Communication Systems ◽  
System Throughput ◽  
User Association ◽  
Heterogeneous Cellular Networks ◽  
Macro Cell ◽  
System Resource ◽  
Resource Allocation Scheme

As a key technology in Long-Term Evolution-Advanced (LTE-A) mobile communication systems, heterogeneous cellular networks (HCNs) add low-power nodes to offload the traffic from macro cell and therefore improve system throughput performance. In this paper, we investigate a joint user association and resource allocation scheme for orthogonal frequency division multiple access- (OFDMA-) based downlink HCNs for maximizing the energy efficiency and optimizing the system resource. The algorithm is formulated as a nonconvex optimization, with dynamic circuit consumption, limited transmit power, and quality-of-service (QoS) constraints. As a nonlinear fractional problem, an iteration-based algorithm is proposed to decompose the problem into two subproblems, that is, user association and power allocation. For each iteration, we alternatively solve the two subproblems and obtain the optimal user association and power allocation strategies. Numerical results illustrate that the proposed iteration-based algorithm outperforms existing algorithms.

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