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  • Open Access

    ARTICLE

    Addressing the Issues and Developments Correlated with Envisaged 5G Mobile Technologies: Comprehensive Solutions

    Idrees Sarhan Kocher*

    CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 2205-2223, 2023, DOI:10.32604/cmc.2023.039392

    Abstract Fifth Generation (5G) communications are regarded as the cornerstone to household consumer experience improvements and smart manufacturing revolution from the standpoint of industries' objectives. It is anticipated that Envisaged 5G (E5G) mobile technology would be operational in certain developed countries by 2023. The Internet of Things (IoTs) will transform how humans live when combined with smart and integrated sensing devices, such as in-home sensing devices. Recent research is being carried out all over the world to produce a new technique that can be crucial in the success of the anticipated 5G mobile technology. High output, reduced latency, highly reliable, greater… More >

  • Open Access

    ARTICLE

    Genetic Based Approach for Optimal Power and Channel Allocation to Enhance D2D Underlaied Cellular Network Capacity in 5G

    Ahmed. A. Rosas*, Mona Shokair, M. I. Dessouky

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3751-3762, 2022, DOI:10.32604/cmc.2022.025226

    Abstract With the obvious throughput shortage in traditional cellular radio networks, Device-to-Device (D2D) communications has gained a lot of attention to improve the utilization, capacity and channel performance of next-generation networks. In this paper, we study a joint consideration of power and channel allocation based on genetic algorithm as a promising direction to expand the overall network capacity for D2D underlaied cellular networks. The genetic based algorithm targets allocating more suitable channels to D2D users and finding the optimal transmit powers for all D2D links and cellular users efficiently, aiming to maximize the overall system throughput of D2D underlaied cellular network… More >

  • Open Access

    ARTICLE

    Spark Spectrum Allocation for D2D Communication in Cellular Networks

    Tanveer Ahmad1, Imran Khan2, Azeem Irshad3, Shafiq Ahmad4, Ahmed T. Soliman4, Akber Abid Gardezi5, Muhammad Shafiq6,*, Jin-Ghoo Choi6

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 6381-6394, 2022, DOI:10.32604/cmc.2022.019787

    Abstract The device-to-device (D2D) technology performs explicit communication between the terminal and the base station (BS) terminal, so there is no need to transmit data through the BS system. The establishment of a short-distance D2D communication link can greatly reduce the burden on the BS server. At present, D2D is one of the key technologies in 5G technology and has been studied in depth. D2D communication reuses the resources of cellular users to improve system key parameters like utilization and throughput. However, repeated use of the spectrum and coexistence of cellular users can cause co-channel interference. Aiming at the interference problem… More >

  • Open Access

    ARTICLE

    Spectrum Allocation for Cognitive Radio Networks Using the Fireworks Algorithm

    Zhou Feng, Xue Weilian*

    Computer Systems Science and Engineering, Vol.33, No.4, pp. 275-286, 2018, DOI:10.32604/csse.2018.33.275

    Abstract The fireworks algorithm features a small number of parameters, remarkable optimization ability, and resistance to a local optimum. Based on the graph coloring model, the fireworks algorithm is introduced for the first time to solve the spectrum allocation problem for cognitive radio networks, thus maximizing utility and fairness of spectrum allocation. Two-layer binary coding is adopted for individual fireworks. The first layer refers to the coding of cognitive users used to determine channels that can be connected with the user. The second layer refers to the auxiliary coding of channels responsible for addressing mutual interference among multiple cognitive users when… More >

  • Open Access

    ARTICLE

    An Efficient Optimized Handover in Cognitive Radio Networks Using Cooperative Spectrum Sensing

    H. Anandakumara, K. Umamaheswarib

    Intelligent Automation & Soft Computing, Vol.24, No.4, pp. 843-849, 2018, DOI:10.1080/10798587.2017.1364931

    Abstract Cognitive radio systems necessitate the incorporation of cooperative spectrum sensing among cognitive users to increase the reliability of detection. We have found that cooperative spectrum sensing is not only advantageous, but is also essential to avoid interference with any primary users. Interference by licensed users becomes a chief concern and issue, which affects primary as well as secondary users leading to restrictions in spectrum sensing in cognitive radios. When the number of cognitive users increases, the overheads of the systems, which are meant to report the sensing results to the common receiver, which becomes massive. When the spectrum, which is… More >

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