Spectrum resource management and interference mitigation for D2D communications with awareness of BER constraint in mmWave 5G underlay network

Guizani, Zeineb; Hamdi, Noureddine

doi:10.1109/iscc.2016.7543843

Cited by 5 publications

(4 citation statements)

References 19 publications

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“…e simulated results showed some performance gain when compared to the conventional allocation techniques. In [30], an interference mitigation and spectrum resource allocation scheme was proposed in an outdoor mmwave cell having uplink cellular and D2D communication for maximization of the attained sum rate by tradingoff between density of admitted user equipment and interference constraint. A mathematical optimization problem was formulated as a nonlinear integer function which was hard to find a solution.…”

Section: Resource Allocation Schemes In Millimeter-wave D2d Networkmentioning

confidence: 99%

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Resource Allocation in Millimeter-Wave Device-to-Device Networks

Ombongi

Absaloms

Kibet

2019

Mobile Information Systems

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Recently, the mobile wireless communication has seen explosive growth in data traffic which might not be supported by the current Fourth Generation (4G) networks. The Fifth Generation (5G) networks will overcome this challenge by exploiting a higher spectrum available in millimeter-wave (mmwave) band to improve network throughput. The integration of the millimeter-wave communication with device-to-device communication can be an enabling 5G scheme in providing bandwidth-intensive proximity-based services such as video sharing, live streaming of data, and socially aware networking. Furthermore, the current cellular network traffic can also be offloaded by the D2D user devices thereby reducing loading at Base Stations (BSs), which would then increase the system capacity. However, the mmwave D2D communication is associated with numerous challenges, which include signal blockages, user mobility, high-computational complexity resource allocation algorithms, and increase in interuser interference for dense D2D user scenario. The paper presents review of existing channel and power allocation approaches and mathematical resource optimization solution techniques. In addition, the paper discusses the challenges hindering the realization of an effective allocation scheme in mmwave D2D communication and gives open research issues for further study.

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Section: Resource Allocation Schemes In Millimeter-wave D2d Networkmentioning

confidence: 99%

“…e network was assumed to operate in Time Division Duplex (TDD) mode for effective channel estimation. e cell coverage was taken as 50 m. In [30], the network model had multiple D2D user pairs and multiple cellular users for single cell having 500 m radius.…”

mentioning

confidence: 99%

Resource Allocation in Millimeter-Wave Device-to-Device Networks

Ombongi

Absaloms

Kibet

2019

Mobile Information Systems

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“…e study [6] proposes a method that guarantees the quality of service (QoS) although the method does not improve the throughput. e study [7] proposes the resource allocation method under a 28 GHz bandwidth, and this improves system throughput via limiting the interference value although it does not signi cantly decrease interference.…”

Section: Introductionmentioning

confidence: 99%

“…e aforementioned methods including those in [6][7][8][9] guarantee the QoS of D2D users although most of them do not limit the interference value and improve system throughput. erefore, the result of the resource allocation technology does not re ect real D2D user density areas.…”

Section: Introductionmentioning

confidence: 99%

Study on the User Density Identification via Improved Whale Optimization Algorithm in Device‐to‐Device Communication

Zhang

Deng

2019

Complexity

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The present study proposes a new algorithm for device-to-device (D2D) user density identification in a 5G network based on resource allocation. The method initially established a multiobjective optimization function that calculates system throughput and quality of service (QoS) of D2D users. The optimal resource allocation result of the multiobjective function is obtained via the improved whale optimization algorithm (IWOA). System throughput after resource allocation exhibits a linear relationship with the number of users. Therefore, the D2D user density areas are accurately identified via the throughput value. The simulation result reveals that the accuracy of D2D user density identification reaches 95%.

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CRAN, H‐CRAN, and F‐RAN for 5G systems: Key capabilities and recent advances

Guizani

Hamdi

2017

Int J Network Mgmt

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Summary The world of telecommunication is witnessing a swift metamorphosis towards fifth generation cellular networks. Particularly, the rapid shift from a user centric to a device centric communication has created a tremendous impact on service complexity and network requirements. The future networks present requisite needs in ubiquitous throughput, low latency, and high reliability. They are also envisioned to provide energy efficiency, spectrum reuse, network scalability, and robustness as well as improved quality of user experience, which proves to be of ultimate importance. Accordingly, government, academic, and industrial institutions are working together to fulfill these challenging goals. Their research efforts have been extensively reported in various topics and directions, such as heterogeneous small cell networks, millimeter wave communication, massive multiple input multiple output, network function virtualization, software‐defined network, and device‐to‐device communication. More interestingly, a revolutionary network architecture based on cloud computing and centralized processing is adopted as one of the best candidates for fifth generation. It is denoted Cloud Radio Access Network (CRAN) and (H‐CRAN) in heterogeneous networks. An upgraded version, namely, Fog RAN (F‐RAN), with caching and fog computing capabilities is also presented. Environmental friendly, it ensures flexibility and scalability with reduced expenditures. This paper presents the aforementioned key technological functionalities and surveys the benefits and challenges of CRAN, H‐CRAN, and F‐RAN.

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Spectrum resource management and interference mitigation for D2D communications with awareness of BER constraint in mmWave 5G underlay network

Cited by 5 publications

References 19 publications

Resource Allocation in Millimeter-Wave Device-to-Device Networks

Resource Allocation in Millimeter-Wave Device-to-Device Networks

Study on the User Density Identification via Improved Whale Optimization Algorithm in Device‐to‐Device Communication

CRAN, H‐CRAN, and F‐RAN for 5G systems: Key capabilities and recent advances

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