An Efficient Channel Estimation Scheme for mmWave Massive MIMO Systems

Self Cite

The device-to-device (D2D) networking technology is extended to the conventional cellular network to boost the communication efficiency of the entire network, forming a heterogeneous 5G and beyond (B5G) communication network. D2D communication in a cellular cell will boost the efficiency of the spectrum, increase the ability of the device, and reduce the communication burden of base stations through the sharing of approved cell resources, causing serious interference as well. The device-to-device (D2D) networking technology is extended to the conventional cellular network to boost the communication efficiency of the entire network, forming a heterogeneous 5G communication network. D2D communication in a cellular cell will boost the efficiency of the spectrum, increase the ability of the device, and reduce the communication burden of base stations through the sharing of approved cell resources, causing serious interference as well. This paper proposes an efficient algorithm to minimize interference, based on the parity of the number of antennas, to resolve this issue. The primary concept is to generate the cellular connection precoding matrix by minimizing the power of interference from the base station to non-targeted receivers. Then through the criterion of maximum SINR, the interference suppression matrix of the cellular connection is obtained. Finally, by removing intra-interference through linear interference alignment, the maximum degree of freedom is obtained. The results of the simulation show that the proposed algorithm efficiently increases the performance of the spectrum, decreases interference, improves the degrees of freedom and energy efficiency compared to current algorithms.

Section: K})mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Optimized Algorithm for D2D-MIMO 5G Wireless Networks

Bashir¹,

Khan²,

Al‐Wesabi³

et al. 2021

Self Cite

“…In order to improve the performance of cellular networks and meet the user's demand for speed, related technologies to improve the utilization of spectrum resources have become the research hotspots, such as cognitive radio and D2D communication technologies [11][12][13][14]. In traditional cellular networks, data is transmitted through base stations or other network elements.…”

Section: Introductionmentioning

confidence: 99%

A Joint Resource Allocation Algorithm for D2D Communication

Hamid¹,

Widaa²,

Al‐Wesabi³

et al. 2022

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.

“…At the same time, the 5G mobile communication system has characteristics such as dynamic and heterogeneous, which all pose severe challenges to wireless resource management. Therefore, the issue of wireless resource management in the 5G environment has become a research hotspot in the current wireless communication field [11][12][13][14][15][16][17][18].…”

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.