scholarly journals Uplink Resource Allocation for Interference Mitigation in Two-Tier Femtocell Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Sung-Yeop Pyun ◽  
Woongsup Lee ◽  
Ohyun Jo

Two-tier femtocell networks, in which a large number of femto base stations (BSs) are deployed within a region overlapping with a macrocell, can provide an economical means of increasing user capacity and coverage. Given that femto BSs may be deployed with no cell planning, cross-tier interference generated from a number of macrocells and femtocells can cause severe problems. In particular, a macro mobile station (MS) that transmits uplink data may generate severe interference with adjacent femtocells, which causes performance degradation. In order to solve these problems, two novel resource allocation schemes, optimization and heuristic, are proposed, which efficiently reduce uplink interference in two-tier femtocell networks. Simulation results at the system level verify that both proposed schemes can improve the average capacity of the femtocells, but the heuristic scheme outperforms the optimization scheme in terms of computational complexity.

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Woongsup Lee ◽  
Bang Chul Jung

Recently, energy efficiency (EE) of cellular networks has become an important performance metric, and several techniques have been proposed to increase the EE. Among them, turning off base stations (BSs) when not needed is considered as one of the most powerful techniques due to its simple operation and effectiveness. Herein, we propose a novel BS switching-off technique for cooperative femtocell networks where multiple femtocell BSs (FBSs) simultaneously send packets to the same mobile station (MS). Unlike conventional schemes, cooperative operation of FBSs, also known as coordinated multipoint (CoMP) transmission, is considered to determine which BSs are turned off in the proposed technique. We first formulate the optimization problem to find the optimal set of FBSs to be turned off. Then, we propose a suboptimal scheme operating in a distributed manner in order to reduce the computational complexity of the optimal scheme. The suboptimal scheme is based on throughput ratio (TR) which specifies the importance of a particular FBS for the cooperative transmission. Through simulations, we show that the energy consumption can be greatly reduced with the proposed technique, compared with conventional schemes. Moreover, we show that the suboptimal scheme also achieves the near-optimal performance even without the excessive computations.


Author(s):  
Ding Kai ◽  
Liu Zhanjun ◽  
Zhou Shiyan ◽  
Ran Weiyi ◽  
Li Wei

<p>Aiming at the problem that existing femtocell base station searching the optimal clustering scheme based on the clustering resource allocation algorithm is complex. we propose that building an conflict graph and adjacency matrix before clustering to calculate the number of clusters needed for FBS group by using the adaptive clustering heuristic algorithm. We follow maximization the sum of the FBS distances in the cluster and group the femtocell base stations to narrow the search range to reduce the computational complexity. In order to achieve different business types service, based on the above clustering algorithm, this paper proposes a new method that using the weighted energy efficiency, which including the user interruption and the network spectral efficiency as a fitness function of the power control scheme to solve the problem. The simulation results show that the same rate requirement reduces the complexity, while the same complexity increases the user's average rate.</p>


2014 ◽  
Vol 716-717 ◽  
pp. 1312-1317
Author(s):  
Qi Wen Wan ◽  
Xiang Ming Wen ◽  
Zhao Ming Lu ◽  
Hai Jun Zhang ◽  
Jun Zhao

Energy efficient resource allocation is one of the critical issues for the coordinated multipoint (CoMP) transmission system, where the signal received by each mobile station needs to be converged among multiple base stations (BSs) in the same cluster. However, as the interaction of the system is frequent, the overhead of the backhaul signaling will be enormous. In this paper, an iterative resource allocation and scheduling algorithm (IRASA) with dual method is proposed to solve the optimization problem aiming to maximize the system energy efficiency, which considers the backhaul capacity constraints, circuit power consumption and zero forcing pre-coding (ZFP). Simulation results show that our proposed IRASA can significantly improve the energy efficiency of the system with the backhaul capacity constraints.


2021 ◽  
Author(s):  
Joydev Ghosh

<div>This paper presents a two-tier cellular structure with femtocells in open access mode. The addition of these base stations extends the offered system capacity and coverage area of the network. This two network parameters nowadays becomes rather important to provide Quality of Service (QoS) for data-hungry applications. Femto base stations (FBS) are deployed randomly to extend the coverage of conventional base stations. Since the femtocells are operating here in open access mode, so that the handover probability parameter becomes important concern. In this article, we declare the handover probability using the fundamentals of stochastic geometry.</div>


Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4843
Author(s):  
Sultan Alotaibi ◽  
Hassan Sinky

The growth of mobile traffic volume has been exploded because of the rapid improvement of mobile devices and their applications. Heterogeneous networks (HetNets) can be an attractive solution in order to adopt the exponential growth of wireless data. Femtocell networks are accommodated within the concept of HetNets. The implementation of femtocell networks has been considered as an innovative approach that can improve the network’s capacity. However, dense implementation and installation of femtocells would introduce interference, which reduces the network’s performance. Interference occurs when two adjacent femtocells are operated with the same radio resources. In this work, a scheme, which comprises two stages, is proposed. The first step is to distribute radio resources among femtocells, where each femtocell can identify the source of the interference. A constructed table is generated in order to measure the level of interference for each femtocell. Accordingly, the level of interference for each sub-channel can be recognized by all femtocells. The second stage includes a mechanism that helps femtocell base stations adjust their transmission power autonomously to alleviate the interference. It enforces a cost function, which should be realized by each femtocell. The cost function is calculated based on the production of undesirable interference impact, which is introduced by each femtocell. Hence, the transmission power is adjusted autonomously, where undesirable interference can be monitored and alleviated. The proposed scheme is evaluated through a MATLAB simulation and compared with other approaches. The simulation results show an improvement in the network’s capacity. Furthermore, the unfavorable impact of the interference can be managed and alleviated.


2016 ◽  
Vol 65 (10) ◽  
pp. 8203-8217 ◽  
Author(s):  
Ying Loong Lee ◽  
Jonathan Loo ◽  
Teong Chee Chuah ◽  
Ayman A. El-Saleh

2014 ◽  
Vol 32 (2) ◽  
pp. 333-344 ◽  
Author(s):  
David Lopez-Perez ◽  
Xiaoli Chu ◽  
Athanasios V. Vasilakos ◽  
Holger Claussen

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