{'fraction_non_alphanumeric': 0.027985074626865673, 'fraction_numerical': 0.0018656716417910447, 'mean_word_length': 5.70625, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Secure Energy Efficiency Resource Allocation for D2D Communication With Full-Duplex Radio

In this paper, we investigate the issue of resource allocation for secure communications in Divice-to-divice(D2D) network with full-duplex (FD) radio, for maximizing the overall secure energy efficiency(SEE). Under the power constraint and secrecy capacity requirement, the resource allocation problem involves the cluster head selection and subcarrier power allocation. Since the considered optimization problem is non-liner which is difficult to solve, it is decomposed into two subproblems. Firstly, we select the best cluster head with the VIKOR algorithm based on the attributes we propose. Secondly, we transform it into convex optimization by exploiting a series of mathematical tools, such as Parametric programming, Lagrange dual method and Karush-Kuhn-Tucker (KKT) optimal conditions, resulting in an efficient iterative algorithm to achieve the suboptimal allocation of power. Simulation results illustrate the suboptimal SEE can be guaranteed by our proposed algorithm.