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DISCO-Dynamic Interference Suppression for Radar and Communication Cohabitation

Tan Le, Van Le

TL;DR

The paper tackles radar–5G spectrum cohabitation by formulating a full‑duplex underlay cognitive radio network with multiple amplify‑and‑forward relays. It develops joint dynamic power allocation and relay selection, with both non‑coherent and coherent interference suppression at the radar, and derives achievable rate expressions while enforcing radar interference and transmit‑power constraints. The authors propose alternating/greedy algorithms and a partitioning approach to optimize power and phase, demonstrating that coherent interference control yields significant gains over non‑coherent and single‑relay schemes. The work highlights practical feasibility for coexisting military and commercial systems and suggests AI‑driven extensions for sensing and dynamic spectrum management to further enhance performance and adaptability.

Abstract

We propose the joint dynamic power allocation and multi-relay selection for the cohabitation of high-priority military radar and low-priority commercial 5G communication. To improve the 5G network performance, we design the full-duplex underlay cognitive radio network for the low-priority commercial 5G network, where multiple relays are selected for concurrently receive the signal from the source and send it to the destination. Then, we propose the interference suppression at the high-priority radar system by using both non-coherent and coherent relay cases. In particular, we formulate the optimization problem for maximizing the system rate, with the consideration of the power constraints at the 5G users and the interference constraint at the radar system. Then, we propose the mathematical analysis model to evaluate the rate performance, considering the impacts of self-interference at the relays and derive the algorithms of joint power allocation and relay selection. Our numerical results demonstrate the characteristic of the optimal configuration and the significant performance gain of coherent case with respect to the non-coherent case and the existing algorithms with single relay selections.

DISCO-Dynamic Interference Suppression for Radar and Communication Cohabitation

TL;DR

The paper tackles radar–5G spectrum cohabitation by formulating a full‑duplex underlay cognitive radio network with multiple amplify‑and‑forward relays. It develops joint dynamic power allocation and relay selection, with both non‑coherent and coherent interference suppression at the radar, and derives achievable rate expressions while enforcing radar interference and transmit‑power constraints. The authors propose alternating/greedy algorithms and a partitioning approach to optimize power and phase, demonstrating that coherent interference control yields significant gains over non‑coherent and single‑relay schemes. The work highlights practical feasibility for coexisting military and commercial systems and suggests AI‑driven extensions for sensing and dynamic spectrum management to further enhance performance and adaptability.

Abstract

We propose the joint dynamic power allocation and multi-relay selection for the cohabitation of high-priority military radar and low-priority commercial 5G communication. To improve the 5G network performance, we design the full-duplex underlay cognitive radio network for the low-priority commercial 5G network, where multiple relays are selected for concurrently receive the signal from the source and send it to the destination. Then, we propose the interference suppression at the high-priority radar system by using both non-coherent and coherent relay cases. In particular, we formulate the optimization problem for maximizing the system rate, with the consideration of the power constraints at the 5G users and the interference constraint at the radar system. Then, we propose the mathematical analysis model to evaluate the rate performance, considering the impacts of self-interference at the relays and derive the algorithms of joint power allocation and relay selection. Our numerical results demonstrate the characteristic of the optimal configuration and the significant performance gain of coherent case with respect to the non-coherent case and the existing algorithms with single relay selections.

Paper Structure

This paper contains 18 sections, 5 theorems, 23 equations, 4 figures, 1 table, 1 algorithm.

Table of Contents

  1. Introduction
  2. Cohabitation Model of Military Radar and Commercial Communication
  3. Scenario Consideration of Radar and 5G Cohabitation
  4. System Model
  5. Joint Power Allocation and Multi-Relay Selection
  6. Problem Formulation
  7. Achievable Rate
  8. Interference Imposed at PU
  9. Non-coherent Scenario
  10. Coherent Scenario
  11. Multi-relay Selection
  12. Power Allocation in the Non-coherent Scenario
  13. Power Allocation and Phase Regulation in the Coherent Scenario
  14. Numerical Results
  15. Conclusions and Future Directions
  16. ...and 3 more sections

Key Result

Lemma 1

Problem (EQN_OPT_PHI) is a nonconvex optimization problem for variables $\left\{\phi_k\right\}$.

Figures (4)

  • Figure 1: System model of the cognitive full-duplex relay network with three kinds of PUs: Radar, 5G NR and LTE.
  • Figure 2: The process at FD relay $k$.
  • Figure 3: The example of tree creation and searching.
  • Figure 4: System rate versus the interference constraint $\mathcal{\bar{I}}_P$ for $K = 4$, $\zeta = 0.001$, $P_{\sf max} = \left\{10, 15, 20, 25\right\}$ dB, non-coherent scenario, and both single- and multi-relay selections.

Theorems & Definitions (10)

  • Lemma 1
  • proof
  • Lemma 2
  • proof
  • Lemma 3
  • proof
  • Lemma 4
  • proof
  • Lemma 5
  • proof