A Smart Pilot Assignment in Multi-Cell Massive MIMO Systems Using Virtual Modeling of Assigning Cost

You are here

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

A Smart Pilot Assignment in Multi-Cell Massive MIMO Systems Using Virtual Modeling of Assigning Cost

By: 
Reza Ebrahimi; Hossein Zamiri-Jafarian; Morteza Khademi

In this paper, a smart pilot sequence assignment method is proposed to minimize inter-cell interference generated in a massive multi-input multi-output (MIMO) system due to pilot contamination in uplink TDD (Time Division Duplex) mode. The proposed method employs a zero-one integer linear programming method as the assignment algorithm. The amount of intercell interference imposed on the target cell users is considered as assigning cost. The introduced assigning cost is composed of the steering vectors of the desired users in the target cell, and the sum of the channel correlation matrices of interference users in adjacent cells. By exploiting the virtual channel modeling technique, we develop a simple alternative approach to calculate the assigning cost, which has low complexity. We prove that the new assigning cost, called virtual assigning cost, is equal to the assigning cost defined based on the physical channel model. Moreover, we develop a token-based protocol to manage the coupling between cells in the whole multicellular network based on a distributed manner without the need for data exchange between the BSs. Simulation results demonstrate that the proposed low complex smart pilot sequence assignment method achieves a good performance, which is better than those of some other related works in multicellular design regarding normalized mean square error (NMSE) and achievable rate criteria.

Table of Contents:

TSP Articles

SPS on Twitter

  • Celebrate International Women's Day with SPS! This Tuesday, 8 March, join Dr. Neeli Prasad for "Unlocking the Poten… https://t.co/GDQIgjSpLs
  • Check out the SPS Education Short Courses, new at ! Earn PDH and CEU certificates by attending either in… https://t.co/1uYFNvltg7
  • We're partnering with the IEEE Humanitarian Activities on Wednesday, 2 March to bring you a new webinar, "Increasin… https://t.co/JzhaBl17UY
  • The DEGAS Webinar Series continues this Thursday, 3 March when Dr. Steven Smith present "Causal Inference on Networ… https://t.co/10kppomXdl
  • In the February issue of the Inside Signal Processing Newsletter, we talk to Dr. Oriol Vinyals, who discusses his j… https://t.co/XLQ7tpEq0A

SPS Videos


Signal Processing in Home Assistants

 


Multimedia Forensics


Careers in Signal Processing             

 


Under the Radar