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Efficient Resource Allocation Based on Layered Coding in Single Frequency Network with Limited Feedback Scheme

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Abstract

Single frequency network (SFN) can provide Multimedia Broadcast Multicast Service (MBMS) over a large coverage area, so it receives more and more attention from both academia and industry. However, the application of SFN is still restricted by a large number of feedbacks. Therefore, we propose a novel multicast resource allocation algorithm based on limited feedback scheme. In the algorithm, we first design a user limited feedback scheme based on channel gain threshold to effectively reduce feedback load. The scheme determines to which base stations users should report channel state information. Next, to overcome the MBMS capacity limitation drawback, we encode the MBMS data into a base layer and multiple enhancement layers and develop a joint subcarrier and power allocation strategy to maximize the throughput of enhancement layers while guaranteeing the rate requirement of base layer. Simulation results show that the proposed algorithm significantly reduces 83 % of the feedback overhead while achieving a comparable multicast throughput performance to the case of full feedback.

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Acknowledgments

This work was supported by the Higher Education Research Foundation of Doctoral Program (20120041110011), and the National Nature Science Foundation of China (6117258).

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Correspondence to Lei Chen.

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Chen, L. Efficient Resource Allocation Based on Layered Coding in Single Frequency Network with Limited Feedback Scheme. Int J Wireless Inf Networks 23, 122–128 (2016). https://doi.org/10.1007/s10776-016-0305-4

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