Interference management for D2D communications in heterogeneous cellular networks

2018 ◽  
Vol 51 ◽  
pp. 138-149 ◽  
Author(s):  
Yanli Xu ◽  
Feng Liu ◽  
Ping Wu
2019 ◽  
Vol 12 (1) ◽  
pp. 1
Author(s):  
Jie Yang ◽  
Ziyu Pan ◽  
Lihong Guo

Due to the dense deployment of base stations (BSs) in heterogeneous cellular networks (HCNs), the energy efficiency (EE) of HCN has attracted the attention of academia and industry. Considering its mathematical tractability, the Poisson point process (PPP) has been employed to model HCNs and analyze their performance widely. The PPP falls short in modeling the effect of interference management techniques, which typically introduces some form of spatial mutual exclusion among BSs. In PPP, all the nodes are independent from each other. As such, PPP may not be suitable to model networks with interference management techniques, where there exists repulsion among the nodes. Considering this, we adopt the Matérn hard-core process (MHCP) instead of PPP, in which no two nodes can be closer than a repulsion radius from one another. In this paper, we study the coverage performance and EE of a two-tier HCN modelled by Matérn hard-core process (MHCP); we abbreviate this kind of two-tier HCN as MHCP-MHCP. We first derive the approximate expression of coverage probability of MHCP-MHCP by extending the approximate signal to interference ratio analysis based on the PPP (ASAPPP) method to multi-tier HCN. The concrete SIR gain of the MHCP model relative to the PPP model is derived through simulation and data fitting. On the basis of coverage analysis, we derive and formulate the EE of MHCP-MHCP network. Simulation results verify the correctness of our theoretical analysis and show the performance difference between the MHCP-MHCP and PPP modelled network.


2019 ◽  
Vol 26 (3) ◽  
pp. 2013-2025 ◽  
Author(s):  
Muhammad Sajid Haroon ◽  
Ziaul Haq Abbas ◽  
Ghulam Abbas ◽  
Fazal Muhammad

2016 ◽  
Vol 5 (5) ◽  
pp. 560-563 ◽  
Author(s):  
Anqi He ◽  
Lifeng Wang ◽  
Yue Chen ◽  
Kai-Kit Wong ◽  
Maged Elkashlan

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 55501-55512 ◽  
Author(s):  
Muhammad Sajid Haroon ◽  
Fazal Muhammad ◽  
Ziaul Haq Abbas ◽  
Ghulam Abbas ◽  
Nisar Ahmed ◽  
...  

Author(s):  
Chungang Yang ◽  
Jia Xiao ◽  
Lingxia Wang ◽  
Pengyu Huang ◽  
Jiandong Li

In this chapter, we concentrate on different technical applications and research directions of pricing theory and methodology, where we investigate following technical applications and functions of pricing including cooperative incentive mechanism design, Pareto- and social optimality improvement, distributed algorithm design with the low signaling overhead. We first clarify different concepts of pricing, summarize the motivation, present a taxonomy according to these different technical applications. Then, we survey applications of pricing theory and methodology with understandings and observations in cognitive radio and multi-tier heterogeneous cellular networks. We emphasize some of the recent critical problems, such as the cooperation incentive, resource and interference management and economics of small cells. Finally, we conclude this chapter with the possible research directions and more potential network applications of pricing theory and methodology.


2020 ◽  
Vol 24 (5) ◽  
pp. 1138-1141
Author(s):  
Ziaul Haq Abbas ◽  
Ghulam Abbas ◽  
Muhammad Sajid Haroon ◽  
Fazal Muhammad

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Jie Zheng ◽  
Ling Gao ◽  
Hai Wang ◽  
Jinping Niu ◽  
Xiaoya Li ◽  
...  

The densification and expansion of heterogeneous cellular networks (HetNets) pose new challenges on interference management and reduction of energy consumption. The 3GPP has proposed enhanced intercell interference coordination (eICIC) by making a macrocell silent in almost blank subframes (ABSs) to mitigate interference for low power base stations (BSs) in HetNets. However, energy efficiency (EE) is very crucial for the deployment of a large number of low power nodes as they consume a lot of energy. In this work, we develop a novel EE-eICIC algorithm to determine the amount of ABSs and user equipment (UE) that should associate with picocells or macrocells from energy efficiency perspective. Due to the nonsmooth and mixed combinatorial features of this formulation, we focus on a suboptimal algorithm design. Using generalized fractional programming and the convex programming theory, we propose an iterative and relaxed-rounding algorithm to solve the problem. Numerical results illustrate that the proposed EE-eICIC algorithm achieves superior performance in comparison with state-of-the-art methods in terms of energy efficiency of both system and user.


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