Base station assisted relay selection in device-to-device communications

The explosive demands for mobile broadband service bring a major challenge to 5G wireless networks. Device-to-device communication, adopting side links for user-direct communication, is regarded as a main technical source for offloading large volume of mobile traffic from cellular base station. This article investigates the joint power and subcarrier allocation scheme for device-to-device communication in 5G time division duplex systems. In time division duplex system, instead of utilizing an exclusive portion of the precious cellular spectrum, device-to-device pairs reuse the subcarriers occupied by cellular users, thus producing harmful interference to cellular users in both uplink and downlink communication, and strongly limiting the spectrum efficiency of the system. To this end, we focus on the maximization of device-to-device throughput while guaranteeing both uplink and downlink channel quality of service of cellular users as well as device-to-device pairs. The problem is formulated as a mixed integer non-linear programming (MINLP) problem. To make it tractable, we separate the original MINLP problem into two sub problems: power allocation and sub-carrier reusing. The former is to develop optimal power allocation for each device-to-device pair and each cellular user, with the constraints of maximum power and quality of service. It is solved by geometric programming technique in convex optimization method. The latter is derived as a one-to-many matching problem for scheduling multiple subcarriers occupied by cellulars to device-to-device pairs. It is solved by Hungarian method. Simulation results show that the proposed scheme significantly improves system capacity of the device-to-device underlay network, with quality of service of both device-to-device users and cellular users guaranteed.

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Hungarian Method Based Joint Transmission Mode and Relay Selection in Device-to-Device Communication

2015 8th IFIP Wireless and Mobile Networking Conference (WMNC) ◽

10.1109/wmnc.2015.33 ◽

2015 ◽

Cited By ~ 5

Author(s):

R. Chithra ◽

Robert Bestak ◽

Sarat Kumar Patra

Keyword(s):

Relay Selection ◽

Transmission Mode ◽

Hungarian Method ◽

Device To Device ◽

Device To Device Communication ◽

Joint Transmission

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Performance Comparison of Practical Resource Allocation Schemes for Device-to-Device Communications

Wireless Communications and Mobile Computing ◽

10.1155/2018/3623075 ◽

2018 ◽

Vol 2018 ◽

pp. 1-14 ◽

Cited By ~ 3

Author(s):

Gábor Fodor

Keyword(s):

Resource Allocation ◽

Power Control ◽

Large Scale ◽

Low Complexity ◽

Base Station ◽

Performance Comparison ◽

Superior Performance ◽

Channel Gain ◽

D2d Communications ◽

Device To Device

Device-to-device (D2D) communications in cellular spectrum have the potential of increasing the spectral and energy efficiency by taking advantage of the proximity and reuse gains. Although several resource allocation (RA) and power control (PC) schemes have been proposed in the literature, a comparison of the performance of such algorithms as a function of the available channel state information has not been reported. In this paper, we examine which large scale channel gain knowledge is needed by practically viable RA and PC schemes for network assisted D2D communications. To this end, we propose a novel near-optimal and low-complexity RA scheme that can be advantageously used in tandem with the optimal binary power control scheme and compare its performance with three heuristics-based RA schemes that are combined either with the well-known 3GPP Long-Term Evolution open-loop path loss compensating PC or with an iterative utility optimal PC scheme. When channel gain knowledge about the useful as well as interfering (cross) channels is available at the cellular base station, the near-optimal RA scheme, termed Matching, combined with the binary PC scheme is superior. Ultimately, we find that the proposed low-complexity RA + PC tandem that uses some cross-channel gain knowledge provides superior performance.

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Energy-Efficient Power Allocation and Relay Selection Schemes for Relay-Assisted D2D Communications in 5G Wireless Networks

Sensors ◽

10.3390/s18092865 ◽

2018 ◽

Vol 18 (9) ◽

pp. 2865 ◽

Cited By ~ 10

Author(s):

Md Rahman ◽

YoungDoo Lee ◽

Insoo Koo

Keyword(s):

Wireless Networks ◽

Power Allocation ◽

Relay Selection ◽

Base Station ◽

Data Rate ◽

Transmission Power ◽

D2d Communications ◽

Long Distance ◽

Inference System ◽

Efficient Power

Device-to-device (D2D) communications allows user equipment (UE) that are in close proximity to communicate with each other directly without using a base station. Relay-assisted D2D (RA-D2D) communications in 5G networks can be applied to support long-distance users and to improve energy efficiency (EE) of the networks. In this paper, we first establish a multi-relay system model where the D2D UEs can communicate with each other by reusing only one cellular uplink resource. Then, we apply an adaptive neuro-fuzzy inference system (ANFIS) architecture to select the best D2D relay to forward D2D source information to the expected D2D destination. Efficient power allocation (PA) in the D2D source and the D2D relay are critical problems for operating such networks, since the data rate of the cellular uplink and the maximum transmission power of the system need to be satisfied. As is known, 5G wireless networks also aim for low energy consumption to better implement the Internet of Things (IoT). Consequently, in this paper, we also formulate a problem to find the optimal solutions for PA of the D2D source and the D2D relay in terms of maximizing the EE of RA-D2D communications to support applications in the emerging IoT. To solve the PA problems of RA-D2D communications, a particle swarm optimization algorithm is employed to maximize the EE of the RA-D2D communications while satisfying the transmission power constraints of the D2D users, minimum data rate of cellular uplink, and minimum signal-to-interference-plus-noise-ratio requirements of the D2D users. Simulation results reveal that the proposed relay selection and PA methods significantly improve EE more than existing schemes.

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Social-Trust and Power-Efficient Relay Selection for Device-to-Device Underlaying Distributed Shared Network

2020 International Conference on Computing, Networking and Communications (ICNC) ◽

10.1109/icnc47757.2020.9049649 ◽

2020 ◽

Author(s):

Mengyue Sun ◽

Nan Bao ◽

Jiakuo Zuo ◽

Xixia Sun ◽

Su Pan

Keyword(s):

Relay Selection ◽

Social Trust ◽

Power Efficient ◽

Device To Device ◽

Selection For ◽

Trust And Power ◽

Shared Network

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A Robust Stackelberg Game Approach for Joint Relay Selection and Optimal Power Allocation for Cooperative Device-to-Device Communication Under Channel Uncertainties

Wireless Personal Communications ◽

10.1007/s11277-019-06718-y ◽

2019 ◽

Vol 110 (1) ◽

pp. 169-183

Author(s):

Amanjot Kaur Lamba ◽

Ravi Kumar ◽

Sanjay Sharma

Keyword(s):

Power Allocation ◽

Relay Selection ◽

Stackelberg Game ◽

Optimal Power Allocation ◽

Optimal Power ◽

Device To Device ◽

Device To Device Communication ◽

Robust Stackelberg Game ◽

Channel Uncertainties

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Handover Management for D2D Communication in 5G Networks

Applied Sciences ◽

10.3390/app10124409 ◽

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.

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