An Ef f icient Scheme for MIMO Broadcast Channels Based on Iterative User Selection
Keywords:
DPC, Iterative User Selection, MIMO gaussian broadcast channel, user capacityAbstract
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 do 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.
Downloads
Downloads
Published
Issue
Section
License
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
