Robust resource allocation algorithm of cognitive heterogeneous wireless network

Abstract

The invention discloses a robust resource allocation algorithm of a cognitive heterogeneous wireless network and belongs to the technical field of communication cognitive heterogeneous wireless networks. The robust resource allocation algorithm is characterized by considering a robust resource allocation algorithm in a cognitive heterogeneous multi-network environment influenced by channel parameter perturbation, considering cross-layer interference constraint and bounded channel uncertainty and interference power uncertainty in an objective function, converting the original infinite dimensional multivariate optimization problem into the convex optimization problem of certainty by using a robust optimization theory, obtaining a robust power control algorithm by using a lagrangian duality method, and achieving sharing of the robust resource of the cognitive heterogeneous wireless network. Simulation results show that the algorithm can effectively protect the performance of users of a macro-cellular network and has stronger robustness.

Description

technical field [0001] The invention relates to the technical field of communication cognitive heterogeneous wireless networks, in particular to a robust resource allocation algorithm for cognitive heterogeneous wireless networks. Background technique [0002] With the commercial operation of 4G mobile communication and the rapid development of mobile communication technology in the future, the mobile communication technology is moving towards large-scale networking and the composition of wireless networks of various radio access technologies (RAT). The microcell network proposed in recent years uses low transmit power base stations and small cell radius to increase radio coverage and eliminate propagation blind spots caused by obstacles in the macrocell network. Effective Techniques for Improving Data Transmission in Wireless Communication Systems with Power Consumption [1][2][3] . [0003] The coverage radius of the micro cell is 30-300 meters, which are mainly distribut...

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Problems solved by technology

Literature [14] studied the downlink power control problem of a two-layer cellular OFDM network under the condition of bounded channel uncertainty based on game theory, but did not consider the influence of macro cells on micro cell interference uncertainty and assumed that each base station only serve a user

LIU et al.[15][16] studied the problem of robust power control for uplink transmission of heterogeneous wireless networks composed of femtocellular networks based on user outage probability, so that the transmission power of the entire network is minimized, but the statistical distribution of channel uncertainty The assumed model in the article may not be satisfied or the channel uncertainty statistical model is not easy to obtain. This model mismatch will make it difficult to implement the robust power control algorithm

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