Efficient Modulation Scheme for Intermediate Relay-Aided IoT Networks

Self Cite

The emergence of multimedia services has meant a substantial increase in the number of devices in mobile networks and driving the demand for higher data transmission rates. The result is that, cellular networks must technically evolve to support such higher rates, to be equipped with greater capacity, and to increase the spectral and energy efficiency. Compared with 4G technology, the 5G networks are being designed to transmit up to 100 times more data volume with devices whose battery life is 10 times longer. Therefore, this new generation of networks has adopted a heterogeneous and ultra-dense architecture, where different technological advances are combined such as device-to-device (D2D) communication, which is one of the key elements of 5G networks. It has immediate applications such as the distribution of traffic load (data offloading), communications for emergency services, and the extension of cellular coverage, etc. In this communication model, two devices can communicate directly if they are close to each other without using a base station or a remote access point. Thus, eliminating the interference between the D2D and cellular communication in the network. The interference management has become a hot issue in current research. In order to address this problem, this paper proposes a joint resource allocation algorithm based on the idea of mode selection and resource assignment. Simulation results show that the proposed algorithm effectively improves the system performance and reduces the interference as compared with existing algorithms.

Section: Introductionmentioning

confidence: 99%

A Joint Resource Allocation Algorithm for D2D Communication

Hamid¹,

Widaa²,

Al‐Wesabi³

et al. 2022

Self Cite

“…However, the multiplexing of wireless resources will cause co-channel interference m in the system. Therefore, how to suppress co-channel interference by allocating wireless resources for D2D users has important practical significance and research value for improving spectrum utilization and meeting users' high-speed data transmission requirements [17][18][19][20]. The authors in [21] analyzed three signal demodulation schemes in the uplink based on the outage probability, trying to reduce the influence of D2D users on the base station through mode selection, and at the same time derive the interference restriction area in the [22] to prevent Adjacent users reuse the same cellular resources.…”

Section: Introductionmentioning

confidence: 99%

An Optimized Algorithm for Resource Allocation for D2D in Heterogeneous Networks

Hamid¹,

Al‐Wesabi²,

Nemri³

et al. 2022

Self Cite

With the emergence of 5G mobile multimedia services, end users' demand for high-speed, low-latency mobile communication network access is increasing. Among them, the device-to-device (D2D) communication is one of the considerable technology. In D2D communication, the data does not need to be relayed and forwarded by the base station, but under the control of the base station, a direct local link is allowed between two adjacent mobile devices. This flexible communication mode reduces the processing bottlenecks and coverage blind spots of the base station, and can be widely used in dense user communication scenarios such as heterogeneous ultra-dense wireless networks. One of the important factors which affects the quality-of-service (QoS) of D2D communications is co-channel interference. In order to solve this problem of co-channel interference, this paper proposes a graph coloring based algorithm. The main idea is to utilize the weighted priority of spectrum resources and enables multiple D2D users to reuse the single cellular user resource. The proposed algorithm also provides simpler power control. The heterogeneous pattern of interference is determined using different types of interferences and UE and the priority of color is acquired. Simulation results show that the proposed algorithm effectively reduced the co-channel interference, power consumption and improved the system throughput as compared with existing algorithms.

“…The problem of radio resource management essentially refers to the problem of matching between radio resources and the user's business needs [19][20][21][22][23][24][25]. The matching algorithm of wireless resources can be divided into three levels: the first-level service-side optimization algorithm, that is, by reducing the user experience quality, adaptively optimizing the service transmission index requirements to achieve the matching of service requirements and given network resources, for example, [26] proposes a rate allocation scheme that adjusts the user's rate according to the minimum demand of different users in the case of limited bandwidth and seeks to maximize the overall utility of the system.…”

Section: Introductionmentioning

confidence: 99%

Optimal Resource Allocation Method for Device-to-Device Communication in 5G Networks

Vu-Huu¹,

Le-Thanh²,

Nguyen-Xuan³

et al. 2022

With the rapid development of the next-generation mobile network, the number of terminal devices and applications is growing explosively. Therefore, how to obtain a higher data rate, wider network coverage and higher resource utilization in the limited spectrum resources has become the common research goal of scholars. Device-to-Device (D2D) communication technology and other frontier communication technologies have emerged. Device-to-Device communication technology is the technology that devices in proximity can communicate directly in cellular networks. It has become one of the key technologies of the fifth-generation mobile communications system(5G). D2D communication technology which is introduced into cellular networks can effectively improve spectrum utilization, enhance network coverage, reduce transmission delay and improve system throughput, but it would also bring complicated and various interferences due to reusing cellular resources at the same time. So resource management is one of the most challenging and importing issues to give full play to the advantages of D2D communication. Optimal resource allocation is an important factor that needs to be addressed in D2D communication. Therefore, this paper proposes an optimization method based on the game-matching concept. The main idea is to model the optimization problem of the quality-of-experience based on user fairness and solve it through game-matching theory. Simulation results show that the proposed algorithm effectively improved the resource allocation and utilization as compared with existing algorithms.