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Joint Resource-Power Allocation and UE Rank Selection in Multi-User MIMO Systems with Linear Transceivers

K. Pavan Srinath, Alix Jeannerot, Alvaro Valcarce Rial

TL;DR

This paper addresses the problem of jointly selecting these three parameters specifically when zero-forcing (ZF) precoders are used for downlink transmission and linear minimum mean square error (LMMSE) receivers are employed for uplink reception.

Abstract

Next-generation wireless networks aim to deliver data speeds much faster than 5G. This requires base stations with lots of antennas and a large operating bandwidth. These advanced base stations are expected to serve several multiantenna user-equipment (UEs) simultaneously on the same time-frequency resources on both the uplink and the downlink. The UE data rates are affected by the following three main factors: UE rank, which refers to the number of data layers used by each UE, UE frequency allocation, which refers to the assignment of slices of the overall frequency band to use for each UE in an orthogonal frequency-division multiplexing (OFDM) system, and UE power allocation/control, which refers to the allocation of power by the base station for data transmission to each UE on the downlink or the power used by each UE to send data on the uplink. Since multiple UEs are to be simultaneously served, the type of precoder used for downlink transmission and the type of receiver used for uplink reception predominantly influence these three aforementioned factors and the resulting overall UE throughput. This paper addresses the problem of jointly selecting these three parameters specifically when zero-forcing (ZF) precoders are used for downlink transmission and linear minimum mean square error (LMMSE) receivers are employed for uplink reception.

Joint Resource-Power Allocation and UE Rank Selection in Multi-User MIMO Systems with Linear Transceivers

TL;DR

This paper addresses the problem of jointly selecting these three parameters specifically when zero-forcing (ZF) precoders are used for downlink transmission and linear minimum mean square error (LMMSE) receivers are employed for uplink reception.

Abstract

Next-generation wireless networks aim to deliver data speeds much faster than 5G. This requires base stations with lots of antennas and a large operating bandwidth. These advanced base stations are expected to serve several multiantenna user-equipment (UEs) simultaneously on the same time-frequency resources on both the uplink and the downlink. The UE data rates are affected by the following three main factors: UE rank, which refers to the number of data layers used by each UE, UE frequency allocation, which refers to the assignment of slices of the overall frequency band to use for each UE in an orthogonal frequency-division multiplexing (OFDM) system, and UE power allocation/control, which refers to the allocation of power by the base station for data transmission to each UE on the downlink or the power used by each UE to send data on the uplink. Since multiple UEs are to be simultaneously served, the type of precoder used for downlink transmission and the type of receiver used for uplink reception predominantly influence these three aforementioned factors and the resulting overall UE throughput. This paper addresses the problem of jointly selecting these three parameters specifically when zero-forcing (ZF) precoders are used for downlink transmission and linear minimum mean square error (LMMSE) receivers are employed for uplink reception.
Paper Structure (16 sections, 20 equations, 9 figures, 1 table, 1 algorithm)

This paper contains 16 sections, 20 equations, 9 figures, 1 table, 1 algorithm.

Table of Contents

  1. Introduction
  2. System Model
  3. Uplink transmission
  4. Downlink transmission
  5. Expected UE Rates
  6. The Joint Resource-power Allocation and UE Rank selection Problem
  7. Uplink Joint Resource-power Allocation and UE Rank Selection
  8. Downlink Joint Resource-power Allocation and UE Rank Selection
  9. The Proposed Optimization Technique
  10. Uplink Scheduling Information
  11. Possible Limitations of the proposed technique
  12. Computational Complexity and Practical Considerations
  13. Simulation Results
  14. Uplink Results
  15. Downlink Results
  16. ...and 1 more sections

Figures (9)

  • Figure 1: Comparison between the plots of vs. for different functions.
  • Figure 2: UL: Plots (with $90\%$ confidence interval) of the rates (plain bar) and rates (hatched bars) in bits/slot for the isolated cell case.
  • Figure 3: UL: Percentile ranks of the transmit power (left) and the allocation for the isolated cell case.
  • Figure 4: UL: Plots (with $90\%$ confidence interval) of the rates (plain bar) and rates (hatched bars) in bits/slot with .
  • Figure 5: UL: Percentile ranks of the transmit power (left) and the allocation (right) for the case with .
  • ...and 4 more figures

Theorems & Definitions (1)

  • Remark 1