Distributed resource allocating method in multi-cell relay OFDMA system

Abstract

The invention provides a low-complexity distributed resource allocating method in a multi-cell relay OFDMA system. The method mainly comprises the steps of self-adaptation carrier wave allocation and water injection power allocation, wherein the self-adaptation carrier wave allocation and the water injection power allocation are conducted in an alternating and iterative mode till algorithm convergence is completed. In the stage of the power allocation, an iterative multi-plane water injection method is provided, and different water injection planes are adjusted so that maximization of volume is achieved. In the prospect of fairness of a system, flexible coverage to users in any level can be achieved, and differentiated service can be provided according to precedence levels of the users. The low-complexity distributed resource allocating method is quick in convergence, and system capacity is improved.

Description

technical field [0001] The invention relates to a physical layer resource allocation technology for a relay-based multi-cell OFDMA cellular network, belonging to the technical field of mobile communication. Background technique [0002] With the rapid development of mobile Internet services, people urgently need more efficient wireless technology, so both Orthogonal Frequency Division Multiplexing (OFDM) and wireless relay technology have come into people's sight. OFDM technology is known for its efficient spectrum utilization, and relay technology can better solve the coverage problem of remote cells. The combination of these two technologies has been given great expectations as the key technology of the next generation mobile system. [0003] It is generally believed that as long as the subcarriers are reasonably allocated in a single cell, the interference between users can be avoided theoretically. However, in a cellular network with multiple cells, there is bound to be...

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Problems solved by technology

[0026] (3) The power allocation process in this literature is complex, and the optimality is difficult to control

[0035] This makes the subsequent dual decomposition and ellipsoid method iteration process more complicated, and the signaling interaction between cells also increases significantly, requiring "setting a small central controller to complete the iteration". It can be seen that the algorithm is already a semi-distributed and semi-centralized architecture. , requires a large signaling and computational overhead

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