Resource allocation algorithm with limited feedback for multicast single frequency networks

Ming-wei TANG; Xiao-xiang WANG

doi:10.1631/jzus.C1100108

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Resource allocation algorithm with limited feedback for multicast single frequency networks

Electronic Engineering | Updated：2022-12-09

- Resource allocation algorithm with limited feedback for multicast single frequency networks
- Resource allocation algorithm with limited feedback for multicast single frequency networks
- Frontiers of Information Technology & Electronic Engineering Vol. 13, Issue 2, Pages: 146-154(2012)
- Affiliations：
  
  MOE Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China
- Author bio：
  
  [ "Ming-wei TANG, E-mail: tangmingwei.bupt@gmail.com" ]
- Funds：
- DOI：10.1631/jzus.C1100108
  CLC： TN929.5
- Received：27 April 2011，
  
  Revised：2011-12-29，
  
  Published：2012-02
- Accepted：
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Ming-wei TANG, Xiao-xiang WANG. Resource allocation algorithm with limited feedback for multicast single frequency networks[J]. Frontiers of Information Technology & Electronic Engineering, 2012, 13(2): 146-154.
DOI：

Ming-wei TANG, Xiao-xiang WANG. Resource allocation algorithm with limited feedback for multicast single frequency networks[J]. Frontiers of Information Technology & Electronic Engineering, 2012, 13(2): 146-154. DOI： 10.1631/jzus.C1100108.

摘要

Abstract

The single frequency network (SFN) can provide a multimedia broadcast multicast service over a large coverage area. However

the application of SFN is still restricted by a large amount of feedback. Therefore

we propose a multicast resource allocation scheme based on limited feedback to maximize the total rate while guaranteeing the quality of service (QoS) requirement of real-time services. In this scheme

we design a user feedback control algorithm to effectively reduce feedback load. The algorithm determines to which base stations the users should report channel state information. We then formulate a joint subcarrier and power allocation issue and find that it has high complexity. Hence

we first distribute subcarriers under the assumption of equal power and develop a proportional allocation strategy to achieve a tradeoff between fairness and QoS. Next

an iterative water-filling power allocation is proposed to fully utilize the limited power. To further decrease complexity

a power iterative scheme is introduced. Simulation results show that the proposed scheme significantly improves system performance while reducing 68% of the feedback overhead. In addition

the power iterative strategy is suitable in practice due to low complexity.

关键词

Keywords

references

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