Efficient radio resource allocation scheme for 5G networks with device-to-device communication

A vital technology in the next-generation cellular network is device-to-device (D2D) communication. Cellular user enabled with D2D communication provides high spectral efficiency and further increases the coverage area of the cell, especially for the end-cell users and blind spot areas. However, the implementation of D2D communication increases interference among the cellular and D2D users. In this paper, we proposed a radio resource allocation (RRA) algorithm to manage the interference using fractional frequency reuse (FFR) scheme and Hungarian algorithm. The proposed algorithm is divided into three parts. First, the FFR scheme allocates different frequency bands among the cell (inner and outer region) for both the cellular and the D2D users to reduce the interference. Second, the Hungarian weighted bipartite matching algorithm is used to allocate the resources to D2D users with the minimum total system interference, while maintaining the total system sum rate. The cellular users share the resources with more than one D2D pair. Lastly, the local search technique of swapping is used for further allocation to minimize the interference. We implemented two types of assignments, fair multiple assignment, and restricted multiple assignment. We compared our results with existing algorithms which verified that our proposed algorithm provides outstanding results in aspects like interference reduction and system sum rate. For restricted multiple assignment, 60-70% of the D2D users are allocated in average cases

Algorithm and Scheme for D2D Communication in 4G /5G Networks

Device-to-Device (D2D) communication is one of the technology components proposed under Long Term Evolution - Advanced (LTE-A) which reuses the cellular spectrum to increase the spectral efficiency of the network. In this paper, we investigated existing interference management schemes and analyzed the D2D communication in the cellular network. We simulated and developed an algorithm for D2D pairs to efficiently use the unlicensed and licensed spectrum based on the distance between D2D links. We focused on investigating the D2D communication underlaying cellular networks, developed and proposed a novel radio resource allocation algorithm for minimizing the interference and establishing the D2D links using Hungarian minimization/maximization bipartite matching algorithm. We aimed at fair multi-user assignments and restricted multi-user assignments, which allow one cellular user to reuse its resources with two D2D pairs. Then, we further continued our research and proposed a novel radio resource allocation algorithm for interference management for D2D communication in the cellular network using fractional frequency reuse and Hungarian minimization/maximization bipartite matching algorithm. The results of the proposed algorithm shows an outperform the existing algorithm, including our previous proposed algorithm

User Association for Network Slicing-Enabled Hybrid Access Networks

Hybrid wireless-wireline access networks (HWWANs) allow the simultaneous use of wireless and wireline access networks to improve bandwidth, increase c o v e r a g e , a n d a chi e v e hi ghe r thr o u ghpu t, particularly for underserved wireline networks. The existing studies have yet to consider the deployment of HWWANs in Heterogeneous Networks (HetNets); thus, user association schemes have not been implemented, which leads to improper load balancing. This paper proposes an efficient user association scheme for a network slicing-enabled HWWAN in HetNets. A user association problem is formulated to maximize the network throughput. This problem is solved using convex optimization. Simulation results show that the proposed scheme outperforms the max-SNR scheme

Quality of service driven hierarchical resource allocation for network slicing-enabled hybrid wireless–wireline access networks

Hybrid wireless–wireline access networks (HWWANs), which allow coordinated and simultaneous use of wireless and wireline interfaces, are a promising network architecture for achieving more coverage, better reliability, and higher throughput, particularly for underserved wireline networks. Existing resource management schemes lack the flexibility and scalability to cope with the dynamic traffic fluctuations from users with diverse quality of service (QoS) requirements. Moreover, these schemes lack resource isolation capability and are incompatible with the HWWAN architecture. This paper proposes a hierarchical radio resource allocation framework for a network slicing-enabled HWWAN, which consists of an upper inter-slice layer and a lower intra-slice layer. Firstly, an inter-slice radio resource allocation problem is formulated to maximize the aggregate network throughput by allocating a pool of resource blocks among the slices, subject to slice-specific QoS requirements. An efficient, low-complexity, demand-oriented greedy resource allocation algorithm is then developed to solve this problem. Secondly, an intra-slice radio resource allocation problem is formulated to maximize the total throughput of individual slices by reallocating the resource blocks secured by individual slices in the upper inter-slice layer to their respective users, subject to their QoS requirements. This problem is decomposed into two smaller sub-problems and solved using convex optimization. Simulation results show that the proposed scheme outperforms other baseline schemes in terms of average throughput, fairness, and customer satisfaction rate, thereby providing service providers with a flexible and efficient resource allocation solution in the era of next-generation fixed mobile convergence

User Association for Network Slicing-Enabled Heterogeneous Hybrid Wireless-Wireline Access Networks

Hybrid wireless-wireline access networks (HWWANs) allow simultaneous use of wireless and wireline interfaces to improve bandwidth, increase coverage and achieve higher throughput, particularly for underserved wireline networks. However, existing studies have yet to consider the user association problem of heterogeneous-HWWANs (Het-HWWAN), which is crucial for load balancing and efficient allocation of resources among users. Moreover, these studies lack resource isolation capabilities among HWWANs and other services, which may degrade the network performance. This paper proposes an efficient user association scheme for a network slicing-enabled Het-HWWAN. We formulate a user association problem to maximize the network’s throughput, subject to the network slices’ available sub-channels at each base station (BS). It is then solved using convex optimization. Simulation results show the efficiency of the proposed scheme in terms of call blocking probability and percentage of satisfied users. Index Terms—Hybrid wireless-wireline access network, network slicing, user association, HetNets, convex optimization

Performance Evaluation of D2D Communications for Next Generation Cellular Networks

Fifth-generation (5G) technology plays an essential role in proximate devices that provide a technology where the proximate devices communicate without assisting a base station. Device-to-device (D2D) and vehicle-to-vehicle (V2V) communications are emerging technology used to improve throughput and latency further. D2D communication is considered the most promising technology that utilizes existing cellular frequency bands. This technology plays a vital role in next-generation wireless technology due to its reliability, low-latency, and high-capacity communications. This paper analyzes and investigates the D2D communication based on underlay licensed spectrum in a lower 5G band using a single-cell scenario. This work also provides insights into spectral efficiency improvement based on spectrum sharing between cellular user equipment (CUE) and D2D UE. Simulation results show that the D2D pairs significantly improve the spectrum efficiency through CUEs by increasing the overall sum rate of the cellular network

Dynamic Spectrum Algorithm Based on D2D Communication

Device-to-device (D2D) communication is a concept that promises the overall performance enhancement by allowing direct communication between the devices which are in proximity. The idea of implementing in-band and out-band spectrums together in a D2D assisted mobile users will be relevant to the landscape of the 5G networks. Nevertheless, limited research works are available on efficient transmission of the data when both spectrums are used simultaneously. In this paper, we propose an efficient dynamic spectrum that utilize the licensed and unlicensed bands, based on the distance between the D2D link, in such a way that it selects the best band for establishing the D2D links in the network. The proposed algorithm is based on the distance between the D2D link, where it selects the most efficient band that reduces the interference of the D2D connection and maximizes the network throughput. The simulation results show that the proposed algorithm, using dynamic spectrum, achieves a higher network performance compared with other static spectrums

Resource Allocation Algorithm for D2D Communication in Cellular Networks Based on Hungarian Algorithm

Device to device communication is a vital technology when it comes to the future communication system. It can increase the sum rate, area coverage and decreases the latency of the network. However, the interference caused by introducing D2D communication can affect the overall performance of the cellular network. In this paper, we proposed a resource allocation algorithm using the fair and restricted assignment for D2D communication. The advantage of our proposed algorithm is that it decreases the total system interference while maintaining the target sum rate. We have divided our algorithm into two parts. Part I, assigns the resources of the cellular user to D2D pair using Hungarian Minimisation and Maximization algorithm(weight bipartite matching) considering two separate cases (fair and restricted assignment). In cases where the system sum rate doesn’t satisfy the target sum rate, a single cellular user shares its resources to two different D2D pair (while maintaining the system sum rate). Part II further checks and decreases the interference by using local interference management technique. The results were compared to other existing algorithms like TAFIRA and MIKIRA. The simulation results proves that our algorithm shows superior performance results in terms of minimization of interference and maintaining the target sum rat