Joint Power Optimization for Multi-Source Multi-Destination Relay Networks

Abstract

In this paper, low-complexity joint power assignment algorithms are developed for multi-source multi-destination relay networks where multiple sources share a common relay that forwards all received signals simultaneously to destinations. In particular, we consider the following power optimization strategies: (i) Minimization of the total transmission power of the sources and the relay under the constraint that the signal-to-interference-plus-noise ratio (SINR) requirement of each source-destination pair is satisfied, and (ii) Maximization of the minimum SINR among all source-destination pairs subject to any given total power budget. Both optimization problems involve K power variables, where K is the number of source-destination pairs in the network, and an exhaustive search is prohibitive for large K. In this work, we develop a methodology that allows us to obtain an asymptotically tight approximation of the SINR and reformulate the original optimization problems to single-variable optimization problems, which can be easily solved by numerical search of the single variable. Then, the corresponding optimal transmission power at each source and relay can be calculated directly. The proposed optimization schemes are scalable and lead to power assignment algorithms that exhibit the same optimization complexity for any number K of source-destination pairs in the network. Moreover, we apply the methodology that we developed to solve a related max-min SINR based optimization problem in which we determine power assignment for the sources and the relay to maximize the minimum SINR among all source-destination pairs subject to any given total power budget. Extensive numerical studies illustrate and validate our theoretical developments.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2011
Accession Number
ADA565474

Entities

People

  • Fuyu Chen
  • John D. Matyjas
  • Stella N. Batalama
  • Weifeng Su

Organizations

  • University at Buffalo

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Code Division Multiplexing
  • Computer Programming
  • Computer Programs
  • Cross Correlation
  • Detection
  • Electrical Engineering
  • Electronic Mail
  • Energy Consumption
  • Engineering
  • Military Research
  • Multiple Access
  • Optimization
  • Random Variables
  • Signal Processing

Fields of Study

  • Engineering

Readers

  • Electrical Engineering
  • Operations Research
  • Phased Array Antenna Design.