Dynamic resource allocation method for orthogonal frequency division multiple access (OFDMA) system

Abstract

The invention discloses a dynamic resource allocation method for an orthogonal frequency division multiple access (OFDMA) system. The method comprises: (1) a parameter initialization step; (2) a sub-carrier scheduling step; and (3) a power allocation step. According to the method, optimal power can be computed without intensive successive approximation searching, so that computational complexity is effectively lowered. When spectral efficiency meets system requirements, energy efficiency is taken as a main consideration, and by the method, minimum energy consumption in the transmission of a unit bit can be computed, and the spectral efficiency and the energy efficiency can be well balanced, so that an energy utilization rate can be further increased, and communication is energy-saving and environment-friendly.

Description

technical field [0001] The invention belongs to the technical field of wireless and mobile communication, and in particular relates to a dynamic resource allocation method in an OFDMA system. Background technique [0002] With the widespread rise of data services and the rapid development of the mobile Internet, future wireless communication technologies will have higher data transmission rates to meet the needs of more users. Among the current wireless solutions, Orthogonal Frequency Division Multiplexing (OFDM) has been widely valued for its advantages of high spectrum utilization and strong anti-interference ability. However, in traditional OFDMA systems, the performance of the system is limited by the worst sub-channel. In order to reduce this limitation and make full use of system resources (bandwidth and power), dynamic self-adaptation technology can be used. The existing resource allocation methods basically only focus on the improvement of spectral efficiency, whil...

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Problems solved by technology

The existing resource allocation methods basically only focus on the improvement of spectral efficiency, while ignoring energy efficiency, and the existing method of OFDM energy efficiency and spectral efficiency compromise is too complex, and it is necessary to continuously iteratively approximate the search to obtain the optimal power allocation.

The Greedy algorithm is the earliest proposed algorithm for maximizing spectral efficiency under power constraints. The algorithm has a simple idea, and the performance of the algorithm reaches Optimal, but the algorithm is too complex and does not consider the energy efficiency; X.Cong et al. proposed a JIDO algorithm using interval search, although the algorithm can handle spectrum efficiency and energy efficiency well Effective compromise, but due to the need to find the optimal power allocation in a large range, the complexity is still too high in actual channel conditions

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