scholarly journals New framework for interference and energy analysis of soft frequency reuse in 5G networks

2020 ◽  
Vol 9 (5) ◽  
pp. 1941-1949
Author(s):  
Achonu Adejo ◽  
Osbert Asaka ◽  
Habeeb Bello- Salau ◽  
Caroline Alenoghena
Keyword(s):  
Cellular Networks ◽  
Spectral Efficiency ◽  
Network Performance ◽  
Base Station ◽  
Frequency Reuse ◽  
Base Stations ◽  
System Capacity ◽  
Management Technique ◽  
5G Networks ◽  
Soft Frequency Reuse

Cellular networks are expanding massively due to high data requirements from mobile devices. This has motivated base station densification as an essential requirement for the 5G network. The implication is obvious benefits in enhanced system capacity, but also increased challenges in terms of interference. One important interference management technique which has been widely adopted in cellular networks is frequency reuse. In this article, an analysis is presented based on network interference and energy expended by base stations in downlink communication when Soft frequency reuse (SFR) is deployed. A framework is presented that captures the bandwidth overlaps in SFR across base station assignments, computes the interference probabilities arising and derives new performance equations which are verified using simulations. Results show an improvement of over previous SFR implementations that do not consider the interference probabilities. Thus, a more in-depth and accurate modelling of SFR in 5G networks is achieved. Furthermore, the downlink power allocation is investigated as against other parameters like the center ratio and edge bandwidth. The result shows that signal-to-interference-noise ratio (SINR) and spectral efficiency give different performance under energy consideration. A framework is developed on how to tune a base station to achieve desired network performance in user SINR or cell spectral efficiency depending on the operator’s preference.

scholarly journals Context-Aware Mode Selection for 5G Multi-Hop Cellular Networks

Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 840
Author(s):  
Lucas-Estañ ◽  
Gozalvez ◽  
Sepulcre
Keyword(s):  
Cellular Networks ◽  
Network Performance ◽  
Mode Selection ◽  
Base Station ◽  
Operating Conditions ◽  
Context Aware ◽  
5G Networks ◽  
D2d Communications ◽  
Selection Scheme ◽  
Wide Range

In the present day, 5G and beyond networks are being designed to support the future increase of data traffic and service demands. To support such increase, 5G networks will incorporate device-centric technologies with adequate mechanisms to scale and handle the growing and very large number of connected devices and traffic demands. Device-centric technologies include Device-to-Device (D2D) communications and Multi-hop Cellular Networks (MCNs). In device-centric wireless networks, devices will be able to connect to the network using two different connection modes: through a traditional cellular connection, or through a multi-hop cellular connection based on D2D communications with intermediate mobile devices. Device-centric technologies will therefore provide new connectivity options and significant opportunities to enhance the capacity and efficiency of 5G networks. However, new challenges will need to be addressed. One of them is the selection of the most adequate connection mode for each mobile device, because it will be key to improve the network performance and efficiency. This work proposes a context-aware mode selection scheme capable of identifying and selecting the most adequate connection mode for each device under a wide range of deployment and operating conditions. The proposed scheme estimates the benefits and risks of each connection mode based on context information available at the base station guaranteeing low signaling overhead. The obtained results show that the proposed mode selection scheme helps achieving throughput gains higher than 200% compared to traditional single-hop cellular communications for devices at the cell edge, and significant gains are also achieved compared to other mode selection schemes implemented and evaluated.

scholarly journals Radio Capacity Estimation for Millimeter Wave 5G Cellular Networks Using Narrow Beamwidth Antennas at the Base Stations

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
AlMuthanna Turki Nassar ◽  
Ahmed Iyanda Sulyman ◽  
Abdulhameed Alsanie
Keyword(s):  
Cellular Networks ◽  
Millimeter Wave ◽  
Base Station ◽  
Base Stations ◽  
5G Networks ◽  
Capacity Estimation ◽  
Capacity Enhancement ◽  
Fifth Generation ◽  
Microwave Networks

This paper presents radio frequency (RF) capacity estimation for millimeter wave (mm-wave) based fifth-generation (5G) cellular networks using field-level simulations. It is shown that, by reducing antenna beamwidth from 65° to 30°, we can enhance the capacity of mm-wave cellular networks roughly by 3.0 times at a distance of 220 m from the base station (BS). This enhancement is far much higher than the corresponding enhancement of 1.2 times observed for 900 MHz and 2.6 GHz microwave networks at the same distance from the BS. Thus the use of narrow beamwidth transmitting antennas has more pronounced benefits in mm-wave networks. Deployment trials performed on an LTE TDD site operating on 2.6 GHz show that 6-sector site with 27° antenna beamwidth enhances the quality of service (QoS) roughly by 40% and more than doubles the overall BS throughput (while enhancing the per sector throughput 1.1 times on average) compared to a 3-sector site using 65° antenna beamwidth. This agrees well with our capacity simulations. Since mm-wave 5G networks will use arbitrary number of beams, with beamwidth much less than 30°, the capacity enhancement expected in 5G system when using narrow beamwidth antennas would be much more than three times observed in our simulations.

Resource Allocation using Dynamic Fractional Frequency Reuse

2017 ◽  
Vol 6 (1) ◽  
pp. 34-44
Author(s):  
Anitha S Sastry ◽  
Akhila S
Keyword(s):  
Resource Allocation ◽  
Spectral Efficiency ◽  
Cellular System ◽  
Frequency Reuse ◽  
Base Stations ◽  
Cellular Structures ◽  
Fractional Frequency Reuse ◽  
Ofdma System ◽  
Fractional Frequency

This article describes how a multi user cellular system insists on having increase in the spectral efficiency for the number of users and base stations. As far as cellular structures are concerned, the users at the edges experience inter cellular interference (ICI) than the users at the cell center. This is due to lack of resource allocation at cell edges. To improve the throughput at the edges a technique called Fractional Frequency Reuse (FFR) is employed. This article explores the Dynamic FFR(DFFR) in OFDMA system to improve the overall throughput.

scholarly journals Handover Management for D2D Communication in 5G Networks

2020 ◽  
Vol 10 (12) ◽  
pp. 4409
Author(s):  
Wei Kuang Lai ◽  
Chin-Shiuh Shieh ◽  
Fu-Sheng Chou ◽  
Chia-Yu Hsu ◽  
Meng-Han Shen
Keyword(s):  
Mobile Networks ◽  
Base Station ◽  
Base Stations ◽  
D2d Communication ◽  
Expected Improvement ◽  
5G Networks ◽  
Handover Management ◽  
Current Standard ◽  
Handover Procedure ◽  
Device To Device

This study addresses the handover management issue for Device-to-Device communication in fifth-generation (5G) networks. The Third Generation Partnership Project (3GPP) drafted a standard for proximity services (ProSe), also named device-to-device (D2D) communication, which is a promising technology in offering higher throughput and lower latency services to end users. Handover is an essential issue in wireless mobile networks due to the mobility of user equipment (UE). Specifically, we need to transfer an ongoing connection from an old E-UTRAN Node B (eNB) to a new one, so that the UE can retain its connectivity. In the data plane, both parties of a D2D pair can communicate directly with each other without the involvement of the base station. However, in the control plane, devices must be connected to the eNB for tasks such as power control and resource allocation. In the current standard of handover scheme, the number of unnecessary handovers would be increased by the effect of shadowing fading on two devices. More important, the handover mechanism for D2D pairs is not standardized yet. LTE-A only considers the handover procedure of a single user. Therefore, when a D2D pair moves across cell boundaries, the control channels of the two UEs may connect to different base stations and result in increased latency due to the exchange of D2D related control messages. Hence, we propose a handover management scheme for D2D communication to let both parties of a D2D pair handover to the same destination eNB at the same time. By doing so, the number of unnecessary handovers, as well as the handover latency, can be reduced. In the proposed method, we predict the destination eNB of D2D users based on their movements and the received signal characteristics. Subsequently, we make a handover decision for each D2D pair by jointly factoring in the signal quality and connection stability. Expected improvement can be attained, as revealed in the simulation. Unnecessary handover can be avoided. Consequently, both UEs of a D2D pair reside in the same cell and, therefore, result in increased throughput and decreased delay.

scholarly journals Multi-Layer Soft Frequency Reuse Scheme for 5G Heterogeneous Cellular Networks

2017 ◽  
Author(s):  
Md. S. Hossain ◽  
Faisal Tariq ◽  
G. A. Safdar ◽  
Nurul H. Mahmood ◽  
Muhammad R. A. Khandaker
Keyword(s):  
Cellular Networks ◽  
Frequency Reuse ◽  
Heterogeneous Cellular Networks ◽  
Soft Frequency Reuse

Adaptive Soft Frequency Reuse Scheme for Wireless Cellular Networks

2015 ◽  
Vol 64 (1) ◽  
pp. 118-131 ◽  
Author(s):  
Manli Qian ◽  
Wibowo Hardjawana ◽  
Yonghui Li ◽  
Branka Vucetic ◽  
Xuezhi Yang ◽  
...  
Keyword(s):  
Cellular Networks ◽  
Frequency Reuse ◽  
Wireless Cellular Networks ◽  
Soft Frequency Reuse

scholarly journals Enhanced Transmit-Antenna Selection Schemes for Multiuser Massive MIMO Systems

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Byung-Jin Lee ◽  
Sang-Lim Ju ◽  
Nam-il Kim ◽  
Kyung-Seok Kim
Keyword(s):  
Computational Complexity ◽  
Radio Frequency ◽  
Spectral Efficiency ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Antenna Selection ◽  
Base Station ◽  
Base Stations ◽  
Transmit Antenna Selection ◽  
Selection Scheme

Massive multiple-input multiple-output (MIMO) systems are a core technology designed to achieve the performance objectives defined for 5G wireless communications. They achieve high spectral efficiency, reliability, and diversity gain. However, the many radio frequency chains required in base stations equipped with a high number of transmit antennas imply high hardware costs and computational complexity. Therefore, in this paper, we investigate the use of a transmit-antenna selection scheme, with which the number of required radio frequency chains in the base station can be reduced. This paper proposes two efficient transmit-antenna selection (TAS) schemes designed to consider a trade-off between performance and computational complexity in massive MIMO systems. The spectral efficiency and computational complexity of the proposed schemes are analyzed and compared with existing TAS schemes, showing that the proposed algorithms increase the TAS performance and can be used in practical systems. Additionally, the obtained results enable a better understanding of how TAS affects massive MIMO systems.

scholarly journals Energy Proficient Strategies and Future Challenges in 5G Networks in Pakistan

2019 ◽  
Vol IV (III) ◽  
pp. 214-222
Author(s):  
Dost Muhammad Khan ◽  
Tariq Aziz Rao ◽  
Najia Sehr
Keyword(s):  
Cellular Networks ◽  
Power Optimization ◽  
Data Rate ◽  
Base Stations ◽  
Human Diseases ◽  
5G Networks ◽  
Wireless Cellular Networks ◽  
Future Challenges ◽  
Near Future

To meet the extraordinary subscribers’ requests in near future, 5G wireless cellular networks are developing. With the arrival of 5th generation (5G), millions of new Base Stations (BS) and billions of associated gadgets will also be increased which require the extra power. More power utilization will result in an ascent in the CO2 discharge into the atmosphere, which may cause various human diseases. To meet the requests of an expanded limit, an enhanced data rate, and a superior nature of the service of the up-coming generation systems, there is a dire need to embrace energy proficient models, which consume less power. This manuscript gives an overview of energy proficient strategies and future challenges in 5G networks, which will be helpful for research scholars and organizations for future exploration of power optimization in 5G networks.

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