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Interference in Wireless Networks -- A Power Allocation Approach

Tzalik Maimon, Shirley Alus, Gil Kedar

TL;DR

The paper tackles Co-Channel Interference (CCI) in dense wireless networks by introducing a deterministic Power Allocation (PA) framework that uses time-slot division to minimize interference and reduce frequency usage. It models interference with a graph-coloring approach, derives per-slot transmission powers using path-loss and antenna radiation patterns, and introduces an allowed-interference interpolation to optimize a ratio $x$ governing interference. A frequency allocation planning method based on Power-Gain (PG) metrics and a greedy, deterministic algorithm achieves near-optimal balance of power and interference, with a provable runtime bound. Experimental results from Python simulations show capacity gains and lower energy waste compared to single-frequency baselines, highlighting the practical impact of time-division PA and frequency planning for next-generation networks.

Abstract

Co-Channel Interference (CCI) is a fundamental problem in wireless communication networks. It is a well-studied problem in the field. As channels use the same frequency, interference in the radio waves occurs which, in turn, reduces the capacity of the interfered channels. There is a need to use the least number of frequencies as communication networks advance to 5G. In this paper, we present a novel technique to manage interference on channels. We use time division for links of the same frequency and, as a result, we show a significant reduction in the number of frequencies used overall in the network.

Interference in Wireless Networks -- A Power Allocation Approach

TL;DR

The paper tackles Co-Channel Interference (CCI) in dense wireless networks by introducing a deterministic Power Allocation (PA) framework that uses time-slot division to minimize interference and reduce frequency usage. It models interference with a graph-coloring approach, derives per-slot transmission powers using path-loss and antenna radiation patterns, and introduces an allowed-interference interpolation to optimize a ratio governing interference. A frequency allocation planning method based on Power-Gain (PG) metrics and a greedy, deterministic algorithm achieves near-optimal balance of power and interference, with a provable runtime bound. Experimental results from Python simulations show capacity gains and lower energy waste compared to single-frequency baselines, highlighting the practical impact of time-division PA and frequency planning for next-generation networks.

Abstract

Co-Channel Interference (CCI) is a fundamental problem in wireless communication networks. It is a well-studied problem in the field. As channels use the same frequency, interference in the radio waves occurs which, in turn, reduces the capacity of the interfered channels. There is a need to use the least number of frequencies as communication networks advance to 5G. In this paper, we present a novel technique to manage interference on channels. We use time division for links of the same frequency and, as a result, we show a significant reduction in the number of frequencies used overall in the network.

Paper Structure

This paper contains 11 sections, 2 theorems, 6 equations, 6 figures, 1 table, 1 algorithm.

Key Result

Lemma 1

The legal coloring of $M$ colors the edges in $G$ such that:

Figures (6)

  • Figure 1: Example of Input Graph
  • Figure 2: Example of Power Assignments
  • Figure 3: Example of the set $\mathcal{U}$ for the link in green.
  • Figure 4: A network of 24 links and 4 frequencies used
  • Figure 5: A network of 366 links and 8 frequencies used
  • ...and 1 more figures

Theorems & Definitions (4)

  • Lemma 1
  • proof
  • Definition 1
  • Theorem 1