Efficient Power Control Framework for Small-Cell Heterogeneous Networks

Alsafasfeh, Qais; Saraereh, Omar A.; Ali, Ashraf; Al-Tarawneh, Luae; Khan, Imran; Silva, Adão

doi:10.3390/s20051467

Cited by 18 publications

(18 citation statements)

References 30 publications

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“…While the amount of power could be dynamically changed according to the MCS of each UE service. A study of Alsafasfeh, Saraereh [ 72 ] worked on the efficient power control framework for small-cell heterogeneous networks, and developed an optimization framework that allows the small-cell base station to switch off when the traffic demands are not critical. However, this might not be a practical solution.…”

Section: Simulation Environmentmentioning

confidence: 99%

Heterogeneous networks: Fair power allocation in LTE-A uplink scenarios

Kurda

2021

PLoS ONE

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Effective management of radio resources and service quality assurance are two of the essential aspects to furnish high-quality service in Long Term Evolution (LTE) networks. Despite the base station involving several ingenious scheduling schemes for resource allocation, the intended outcome might be influenced by the interference, especially in heterogeneous scenarios, where many kinds of small cells can be deployed under the coverage of macrocell area. To develop the network of small cells, it is essential to take into account such boundaries, in particular, mobility, interference and resources scheduling a strategy which assist getting a higher spectral efficiency in anticipate small cells. Another challenge with small cellular network deployment is further analyzing the impact of power control techniques in the uplink direction for the network performance. With that being said, this article investigates the problem of interference in LTE-advanced heterogeneous networks. The proposed scheme allows mitigation inter-cell interference through fractional self-powered control performed at each femtocell user. This study analyzes a scheme with optimum power value that provides a compromise between the served uplink signal within unwanted interference plus noise ratio to enhance spectral efficiency in terms of throughput. In particular, the maximum transmit power for user equipment in uplink direction should be reviewed for small cells as a major contributor to the interference. The simulation results showed that the proposed fractional power control approach can outperform the traditional power control employed as a full compensation mode in small cell uplinks.

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Section: Simulation Environmentmentioning

confidence: 99%

Heterogeneous networks: Fair power allocation in LTE-A uplink scenarios

Kurda

2021

PLoS ONE

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“…Device-to-Device (D2D) communication enables end users within a short distance to directly transmit data without forwarding through the base station, thereby greatly improving the data transmission rate. In addition, D2D users can also reuse the wireless resources of cellular users in a non-orthogonal manner to improve the utilization of spectrum resources [15,16]. Therefore, D2D communication has received extensive attention from the industry in recent years.…”

Section: Introductionmentioning

confidence: 99%

An Optimized Algorithm for Resource Allocation for D2D in Heterogeneous Networks

Hamid¹,

Al‐Wesabi²,

Nemri³

et al. 2022

Computers, Materials &Amp; Continua

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With the emergence of 5G mobile multimedia services, end users' demand for high-speed, low-latency mobile communication network access is increasing. Among them, the device-to-device (D2D) communication is one of the considerable technology. In D2D communication, the data does not need to be relayed and forwarded by the base station, but under the control of the base station, a direct local link is allowed between two adjacent mobile devices. This flexible communication mode reduces the processing bottlenecks and coverage blind spots of the base station, and can be widely used in dense user communication scenarios such as heterogeneous ultra-dense wireless networks. One of the important factors which affects the quality-of-service (QoS) of D2D communications is co-channel interference. In order to solve this problem of co-channel interference, this paper proposes a graph coloring based algorithm. The main idea is to utilize the weighted priority of spectrum resources and enables multiple D2D users to reuse the single cellular user resource. The proposed algorithm also provides simpler power control. The heterogeneous pattern of interference is determined using different types of interferences and UE and the priority of color is acquired. Simulation results show that the proposed algorithm effectively reduced the co-channel interference, power consumption and improved the system throughput as compared with existing algorithms.

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“…By selecting the optimal beamforming weight vector at the transmitting and receiving end, the communication quality of the SU can be optimized while suppressing the interference to the primary user, and the normal communication between the CU and the PU can be ensured in the same frequency band [16]. One of the effective methods to solve these problems is cognitive radio (CR) technology [17,18]. CR is a new intelligent wireless communication technology.…”

Section: Introductionmentioning

confidence: 99%

An Optimized Algorithm for CR-MIMO Wireless Networks

Elmitwally¹,

Kanwal²,

Abbas³

et al. 2022

Computers, Materials &Amp; Continua

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With the rapid development of wireless communication technology, the spectrum resources are increasingly strained which needs optimal solutions. Cognitive radio (CR) is one of the key technologies to solve this problem. Spectrum sensing not only includes the precise detection of the communication signal of the primary user (PU), but also the precise identification of its modulation type, which can then determine the a priori information such as the PU' service category, so as to use this information to make the cognitive user (CU) aware to discover and use the idle spectrum more effectively, and improve the spectrum utilization. Spectrum sensing is the primary feature and core part of CR. Classical sensing algorithms includes energy detection, cyclostationary feature detection, matched filter detection, and so on. The energy detection algorithm has a simple structure and does not require prior knowledge of the PU transmitter signal, but it is easily affected by noise and the threshold is not easy to determine. The combination of multiple-input multiple-output (MIMO) with CR improves the spectral efficiency and multipath fading utilization. To best utilize the PU spectrum while minimizing the overall transmit power, an iterative technique based on semidefinite programming (SDP) and minimum mean squared error (MMSE) is proposed. Also, this article proposed a new method for max-min fairness beamforming. When compared to existing algorithms, the simulation results show that the proposed algorithms perform better in terms of total transmitted power and signal-tointerference plus noise ratio (SINR). Furthermore, the proposed algorithm effectively improved the system performance in terms of number of iterations,

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Efficient Power Control Framework for Small-Cell Heterogeneous Networks

Cited by 18 publications

References 30 publications

Heterogeneous networks: Fair power allocation in LTE-A uplink scenarios

Heterogeneous networks: Fair power allocation in LTE-A uplink scenarios

An Optimized Algorithm for Resource Allocation for D2D in Heterogeneous Networks

An Optimized Algorithm for CR-MIMO Wireless Networks

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