Resource Allocation and Beamforming Algorithm Based on Interference Avoidance Approach for Device-to-Device Communication Underlaying LTE Cellular Network

Han, Huy-Dung; Zhu, Chenxi; Viorel, Dorin; Itô, Akira

doi:10.4236/cn.2013.53b2067

Cited by 12 publications

(4 citation statements)

References 12 publications

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“…However, spatial reuse generates mutual interference among the D2D users, and therefore must be coordinated effectively. It is noticed that instantaneous interference among multiple D2D pair and cellular users depends on efficient resource scheduling technique [42]. Various optimization framework have been proposed in the literature, on how to jointly allocate radio resources with power control, either centralized [43], fully-distributed or semi-distributed schemes [44], to improve spectral efficiency.…”

Section: Radio Resource Managementmentioning

confidence: 99%

Interference Mitigation inD2DCommunication UnderlayingLTE‐ANetwork

Safdar

Rehman

Muhammad

et al. 2022

Interference Mitigation in Device‐to‐Device Communications

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The mobile data traffic has risen exponentially in recent days due to the emergence of data intensive applications such as online gaming, video sharing etc. It is driving the telecommunication industry as well as the research community to come up with new paradigms that will support such high data rate requirements within the existing wireless access network, in an efficient and effective manner. To respond to this challenge, Device-to-Device (D2D) communication in cellular networks is viewed as a promising solution, which is expected to operate, either within the coverage area of the existing eNB and under the same cellular spectrum (in-band) or separate spectrum (outband). D2D provides the opportunity for users located in close proximity of each other to communicate directly, without traversing data traffic through the eNB. It results in several transmission gains, such as improved throughput, energy gain, hop gain, reuse gain, etc. However, integration of D2D communication in cellular systems at the same time introduces new technical challenges that need to be addressed. Containment of the interference among D2D nodes and cellular users is one of the major problems. D2D transmission radiates in all directions, generating undesirable interference to primary cellular users and other D2D users sharing the same radio resources resulting in severe performance degradation. Efficient interference mitigation schemes are a principal requirement in order to optimize the system performance. This work presents a comprehensive review of the existing interference mitigation schemes present in the open literature. Based on the subjective and objective analysis of the work available to date, it is also envisaged that adopting a multi-antenna beamforming mechanism with power control such that the transmit power is maximized towards the direction of the intended D2D receiver node and limited in all other directions will minimize the interference in the network. This could maximize the sum throughput and hence, guarantees the reliability of both the D2D and cellular connections.

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Section: Radio Resource Managementmentioning

confidence: 99%

Interference Mitigation inD2DCommunication UnderlayingLTE‐ANetwork

Safdar

Rehman

Muhammad

et al. 2022

Interference Mitigation in Device‐to‐Device Communications

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“…Yu et al proposed a resource-sharing optimization for D2D communication underlaying cellular networks, where gNB allocate either orthogonal or non-orthogonal radio resources to CUEs and DUEs [ 16 ]. Han et al presented an uplink channel reusing selection optimization for D2D communication underlaying cellular networks, where an issue is an optimal and low-complexity channel reusing algorithm to maximize the number of admitted D2D pairs [ 10 ]. Lin et al proposed the hybrid architecture that aims to improve the sum-rate and the power efficiency in 5G cellular networks.…”

Section: Related Workmentioning

confidence: 99%

“…Unlike the 5G multi-zone mobile communication service, the 4G multi-zone service includes D2D technology such as Zigbee, Bluetooth, WLAN, WiFi direct technology, and cellular approach such as Wideband Code Division Multiple Access (WCDMA)/LTE-A (Long Term Evolution Advanced). The communication technology of the mobile phone is mainly studied [ 9 , 10 ]. Large-sized traffic congestion control in multi-zone guarantees high data rate and low latency for User Equipments (UEs).…”

Section: Introductionmentioning

confidence: 99%

Self-Detecting Traffic Interference Control for Multi-Zone Services under 5G-Based Cellular Networks

Lee

2021

Sensors

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In this paper, we propose a multi-zone service control scheme to maximize the performance of each service zone when a large number of cellular service zones and Device-to-Device (D2D) service zones are composed into the 5G cellular network. This paper also improves performance of service zone by dividing traffic into real-time traffic and non-real-time traffic in order to minimize traffic interference. Real-time traffic and non-real-time traffic have a significant impact on communication performance. We propose a new self-detection traffic interference control technique to improve the Quality of Service (QoS) and throughput of D2D and Cellular-to-Device (C2D) communication in a cellular network, Self-detecting Traffic Interference Control Scheme (STICS). The proposed STICS mechanism distinguishes between short-term traffic congestion process and long-term traffic congestion process according to traffic characteristics to detect and control traffic. When the proposed scheme is applied to the 5G-based cellular network environment, it is expected that the traffic type will be efficiently classified by self-detecting the traffic according to the flow. Such classified traffic is less sensitive to communication between the D2D and C2D links, thereby reducing traffic overload. We evaluate the performance of the proposed scheme through simulation and show that the proposed scheme is more efficient than other comparison schemes.

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“…Constraints include minimum threshold rate of CRN users, interference threshold of PU. In [36], authors discuss D2D communication underlaying with LTE‐A networks. The authors devise a resource allocation scheme based on avoidance of interference.…”

Section: Literature Reviewmentioning

confidence: 99%