Title :
Simplified Sequential Linear Assignment Algorithm for Energy Efficient Resource Allocation
Author :
Joung, Jingon ; Tan, Peng Hui ; Ho, Chin Keong ; Sun, Sumei
Author_Institution :
Inst. for Infocomm Res. (I2R), A*STAR, Singapore, Singapore
Abstract :
We consider an energy efficient resource allocation method for orthogonal frequency division multiple access (OFDMA) systems consisting of M users and N subchannels. Transmit power assignment follows the optimal strategy, i.e., a water-filling strategy, for the given subchannels. For the subchannel allocation, we introduce a recently proposed algorithm called a sequential linear assignment algorithm (SLAA). The SLAA determines how many subchannels are allocated to each user and which subchannels are allocated to each user by solving the outer and inner problems, respectively, in an iterative manner; as a result, it requires O(MN2(N-M)2) complexity. To reduce the computational complexity of SLAA, we propose a simplified sequential linear assignment algorithm (SSLAA). Based on the observation that a user requiring the higher power would take the more subchannels, SSLAA uses each user´s power consumption as a metric to determine who will take an additional subchannel in each iteration. Consequently, contrast to SLAA using network power consumption as a metric, the SSLAA incurs significant reduction of computational complexity, by O(N2(N-M)2). Computer simulations in compared with other existing heuristic algorithms verify that the proposed SSLAA results in high energy efficiency and low computational complexity.
Keywords :
OFDM modulation; computational complexity; iterative methods; power consumption; resource allocation; M users; N subchannels; OFDMA systems; computational complexity; energy efficient resource allocation; inner problem; iterative manner; network power consumption; optimal strategy; orthogonal frequency division multiple access; outer problem; simplified sequential linear assignment; subchannel allocation; transmit power assignment; Computational complexity; OFDM; Power demand; Resource management; Sun; Vectors;
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2012 IEEE 75th
Conference_Location :
Yokohama
Print_ISBN :
978-1-4673-0989-9
Electronic_ISBN :
1550-2252
DOI :
10.1109/VETECS.2012.6240262