D2D Resource Allocation Research Articles

Joint Mode Selection and Resource Allocation for D2D-Enabled NOMA Cellular Networks

The 5G cellular network employs non-orthogonal multiple access (NOMA) to enhance network connectivity and capacity, and device-to-device (D2D) communications to improve spectrum efficiency. However, the underlay D2D communications may destroy the execution condition for the successive interference cancellation (SIC) decoding of NOMA cellular networks by introducing the extra interference, which degrades the cellular transmission reliability. Thus, we develop the interlay mode as a special D2D mode for NOMA system, which enables the power domain multiplexing of the D2D pair and cellular users to eliminate the strong interference between them by the SIC decoding. When D2D pair conducts the selection between the interlay mode and underlay mode, the SIC decoding constraint should be satisfied at both D2D receiver and NOMA base station. In order to maximize the system sum rate while meeting the SIC decoding constraint, we propose a joint D2D mode selection and resource allocation scheme with interlay mode, which can be formulated as a combinatorial optimization problem. To tackle the combinatorial nature of mode selection and spectrum assignment, we first prove that the original problem can be reformulated as a maximum weight clique problem, and then propose a graph-based algorithm by applying branch-and-bound method to obtain its optimal solution. Finally, simulation results are provided to demonstrate that the interlay mode along with the proposed algorithms can coordinate D2D communications and NOMA cellular network to significantly improve the system sum rate and the D2D access rate.

Enhancing Cellular Performance Through Device-to-Device Distributed MIMO

The integration of local device-to-device (D2D) communications and cellular connections has been intensively studied to satisfy co-existing D2D and cellular communication demand. In future cellular networks, there will be numerous standby users possessing D2D communication capabilities in close proximity to each other. Considering that these standby users do not necessarily request D2D communications all the time, in this paper we propose a hybrid D2D-cellular scheme to make use of these standby users and to improve the rate performance for cellular users. More specifically, through D2D links, a virtual antenna array can be formed by sharing antennas across different terminals to realize the diversity gain of MIMO channels. This paper considers the use of millimeter wave links to enable high data rate D2D communications. We then design an orthogonal D2D multiple access protocol and formulate the optimization problem of joint cellular and D2D resource allocation for downlink transmissions using the proposed scheme. We obtain a closed-form solution for D2D resource allocation, which reveals useful insights for practical system design. Numerical results from extensive system-level simulations demonstrate that the rate performance of cellular users is significantly improved.

A Social-Aware Virtual MAC Protocol for Energy-Efficient D2D Communications Underlying Heterogeneous Cellular Networks

In this paper, a social-aware virtual medium access control (SV-MAC) is devised to integrate virtualization and social awareness to D2D communications underlying heterogeneous cellular networks. SV-MAC is a converged network layer. Through SV-MAC, heterogeneous networks can be unified in a single protocol stack, providing a common abstraction for users and mobile network operators (MNOs) to share their network resources. Leveraging users' social information, SV-MAC can realize social-aware D2D discovery, association, and resource allocation for improved D2D communication efficiency. In order to validate the advantages of the proposed SV-MAC protocol, we study the cellular and D2D resource allocation problems under the SV-MAC protocol. The problems are formulated as maximizing the cellular and D2D energy efficiency (EE). The cellular resource allocation problem is first solved considering its priority to D2D users. The resource allocation problem for D2D users is solved after cellular users to control the D2D-to-cellular interference within a tolerable threshold. In the simulation, we introduce real mobile user traces to simulate the user social information. Simulation results show that the proposed SV-MAC resource allocation schemes obtain a beneficial EE improvement comparing with conventional schemes.

Recent Advances on Cellular D2D Communications

Device-to-device (D2D) communications have attracted a great deal of attention fromresearchers in recent years.[...]

Game‐Theoretic Social‐Aware Resource Allocation for Device‐to‐Device Communications Underlaying Cellular Network

Device‐to‐Device communication underlaying cellular network can increase the spectrum efficiency due to direct proximity communication and frequency reuse. However, such performance improvement is influenced by the power interference caused by spectrum sharing and social characteristics in each social community jointly. In this investigation, we present a dynamic game theory with complete information based D2D resource allocation scheme for D2D communication underlaying cellular network. In this resource allocation method, we quantify both the rate influence from the power interference caused by the D2D transmitter to cellular users and rate enhancement brought by the social relationships between mobile users. Then, the utility function maximization game is formulated to optimize the overall transmission rate performance of the network, which synthetically measures the final influence from both power interference and sociality enhancement. Simultaneously, we discuss the Nash Equilibrium of the proposed utility function maximization game from a theoretical point of view and further put forward a utility priority searching algorithm based resource allocation scheme. Simulation results show that our proposed scheme attains better performance compared with the other two advanced proposals.

Effective Small Social Community Aware D2D Resource Allocation Underlaying Cellular Networks

Social-aware device-to-device (D2D) resource allocation utilizes social ties in human-formed social networks to allocate spectrum resources between D2D users and cellular users. In this letter, we consider the small size social communities formed by people with similar interests and exploit them to optimize the resource allocation of the communities. This results in an optimal graph matching problem among communities to solve the D2D resource allocation problem. Solutions are derived via bipartite graph matching and an effective small social community resource allocation algorithm corresponding to the cases of small and high D2D user loads.

Device-to-Device Communication in LTE-Advanced System: A Strategy-Proof Resource Exchange Framework

Device-to-device (D2D) communication could improve the efficiency of resource utilization in cellular networks by allowing nearby devices to communicate directly with each other. Nevertheless, one main challenge in D2D communication is resource allocation. We observed that the transmission quality in D2D communications can be significantly improved through a proper resource exchange. Based on this observation, we propose a novel D2D resource-allocation framework for a Long-Term Evolution Advanced (LTE-Advanced) system. We theoretically prove that any arbitrary algorithm, either distributed or centralized, will converge in the proposed framework whenever all performed exchanges are beneficial. Based on the concept of beneficial exchange, we propose a trader-assisted resource exchange (T-REX) mechanism, which is an exchange-based mechanism that converges in polynomial time and achieves Pareto optimality as an efficient and flexible solution to the D2D resource-allocation problem. The Evolved NodeB (eNodeB) regulates the D2D resource allocation through designing the trader preference functions in the T-REX mechanism. By applying game-theoretic analysis to the D2D communication system, we prove that all rational D2D pairs will truthfully report their information when the trader preference functions are properly designed. Finally, our simulation results show that the proposed T-REX mechanism significantly mitigates the interference experienced by D2D devices in LTE-Advanced systems.

Novel D2D resource partitioning and allocation schemes for SC‐FDMA‐based public safety systems

AbstractDevice‐to‐device (D2D) communication is essential for the provision of the broadcasting service for public safety (PS) terminals in out‐of‐network coverage. A sensing‐based resource‐allocation scheme is desirable, rather than a random approach, for next‐generation, PS systems, so that higher data rates and a massive connectivity can be supported. The half‐duplex and resource collisions are the main design constraints, especially for the single carrier frequency division multiplexing (SC‐FDMA)‐based D2D broadcast system. A novel resource‐allocation scheme is proposed in this paper, whereby the resource partitions are managed adaptively based on sensing results. The system‐level evaluation and analysis results show that the proposed scheme significantly improves upon the overall network performance of the conventional scheme, especially with respect to the resource‐collision rate and the throughput. Copyright © 2016 John Wiley & Sons, Ltd.

Social-Community-Aware Resource Allocation for D2D Communications Underlaying Cellular Networks

Device-to-device (D2D) communication has been proposed as a promising technology for future cellular communication systems due to its advantages of high spectrum efficiency, low energy consumption, and enhanced system capacity. Resource allocation for D2D communications, which occupies nonorthogonal channels with cellular transmissions, is an important problem in terms of achieving the aforementioned benefits. In this problem, there are two fundamental challenges to be addressed: 1) how to emulate cellular users to share their resources and 2) how to efficiently allocate resources in terms of channels for D2D pairs. In this paper, we exploit social ties in human-formed social networks to enhance D2D resource sharing and further propose a social-community-aware D2D resource allocation framework, where cellular users would like to share their channels with D2D communications in the same community formed by a group of people with close social ties. After that, we propose a two-step coalition game, where a coalition formulation is established for communities, and an optimal resource allocation problem is formulated for D2D pairs. Extensive simulations on random networks and real mobile trace verify the effectiveness of the proposed scheme.

Optimization of resource allocation for underlay device-to-device communications in cellular networks

Underlay device-to-device (D2D) communication in cellular networks has been considered as a promising technique that can improve the spectral efficiency of cellular systems and meet the growing demand for wireless local services. In underlay D2D, it is of primary importance to manage the mutual interference between cellular links and D2D links through effective resource allocation. While most of previous works on D2D resource allocation are developed based on the knowledge of the channel state information (CSI) on the interference channels as well as the desired channels, it is hard to obtain full CSI in practice. Accordingly, we consider D2D resource allocation schemes based on distance between nodes. In particular, we formulate two optimization problems for D2D resource allocation using the outage probability computed based on the distance information as cost functions. One is a linear sum assignment problem (LSAP) and the other is a linear bottleneck assignment problem (LBAP). By applying the graph theory, we provide efficient algorithms for solving the optimization problems. Numerical results are provided to show the effectiveness of the proposed optimization as compared to previously proposed distance-based resource allocation algorithms.

Device-to-device communications in cellular networks

Device-to-device communications enable two proximity users to transmit signal directly without going through the base station. It can increase network spectral efficiency and energy efficiency, reduce transmission delay, offload traffic for the BS, and alleviate congestion in the cellular core networks. However, many technical challenges need to be addressed for D2D communications to harvest the potential benefits, including device discovery and D2D session setup, D2D resource allocation to guarantee QoS, D2D MIMO transmission, as well as D2D-aided BS deployment in heterogeneous networks. In this article, the basic concepts of D2D communications are first introduced, and then existing fundamental works on D2D communications are discussed. In addition, some potential research topics and challenges are also identified.

Resource Allocation for Device-to-Device Communications Underlaying Cellular Networks

Device-to-Device (D2D) communications potentially can improve spectrum efficiency because of resource spatial reuse. There are two possibilities for D2D resource allocation: contention-based resource allocation and scheduling-based resource allocation. In this paper, these resource allocation schemes are analyzed. Then, we propose a scheduling-based resource allocation that has the advantage of low scheduling overhead in addition to providing a common design for under the in-network coverage and out-of-network coverage. Simulation results show that the proposed algorithm can increase system throughput by exploring spatial reuse gain and maintain good proportional fairness among D2D communication pairs.