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paper 3, Iterative User Selection Scheme for MIMO Broadcast Channels in Circuit Data Scenarios

In Session 1 of Future Computer and Communication 2011 from: International Conference on Future Computer and Communication, 3rd (ICFCC 2011), First
Author(s)/Editor(s):
859711 Cover Image
Published: 2011
Author(s)/Editor(s): Yingbo Li, Wei Jiang, Jianjun Zhang, Zhongjian Liu, Ye Jin
Chapter Page Count: 6 pages

Table of Contents

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Chapter Contents

  • Abstract
  • Key Words
  • 1 Introduction
  • 2. System Model
  • 3. Iterative User Selection Scheme
  • 4. Performance Simulation Results
  • 5. Conclusion
  • References

Excerpt

Based Dirty paper coding (DPC) is shown to achieve the capacity of multiple-input multiple-output (MIMO) Gaussian broadcast channels (BCs). In circuit data scenarios, users demand to get service at fixed desire rate. Finding the optimal covariance matrices and order of users for maximizing user capacity requires high complexity computation. To deal with this problem, many researchers use fixed order of users and get subpar performance. In this paper we present an iterative user selection scheme that aims to maximize user capacity. The main feature of the proposed scheme is that it does not impose a fixed order on the users. Users to be served are chosen iteratively considering influence from the chosen ones. Simulation results show that the proposed scheme achieves better performance than similar simple schemes. In addition, a compromise between performance and complexity can be made by a candidate user set concept. Cardinality of the candidate user set is fixed and users in the set are dynamically adjusted.



©2011 ASME

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Print ISBN:

9780791859711

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