Resource Allocation Schemes for the Heterogeneous OFDMA System with Multiple Ad Hoc Relays

  • Authors:
  • Xiao Han;Huifang Chen;Lei Xie;Kuang Wang

  • Affiliations:
  • Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, People's Republic of China 310027;Department of Information Science and Electronic Engineering, Zhejiang University, Zhejiang Provincial Key Laboratory of Information Network Technology, Hangzhou, People's Republic of China 310027;Department of Information Science and Electronic Engineering, Zhejiang University, Zhejiang Provincial Key Laboratory of Information Network Technology, Hangzhou, People's Republic of China 310027;Department of Information Science and Electronic Engineering, Zhejiang University, Zhejiang Provincial Key Laboratory of Information Network Technology, Hangzhou, People's Republic of China 310027

  • Venue:
  • Wireless Personal Communications: An International Journal
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we present a heterogeneous network framework involved an orthogonal frequency division multiple access (OFDMA) network with an out-of-band Ad Hoc network, which maybe a promising architectural upgrade and has not been studied so far. In the heterogeneous system, the mobile stations (MSs) are dual-mode with both cellular OFDMA and Ad Hoc radios. And MSs communicate with the base station by cellular OFDMA mode, while they communicate with each other by Ad Hoc mode. An active MS can choose multiple inactive MSs as its relay stations (RSs). And each RS operates in a full duplex mode, that is, it can receive data through Ad Hoc network in the first hop and transmit data through the OFDMA network in the second hop, simultaneously. Based on this heterogeneous system, the problem of joint relay selection, subcarrier and power allocation with the objective of maximizing the system capacity under individual rate and transmit power constraints is addressed. We propose a dual-based resource allocation scheme to solve the problem fairly and efficiently, and then we propose a fully distributed resource allocation scheme to decrease the computational complexity. Simulation results show that the performance of the proposed dual-based resource allocation scheme, in terms of the system capacity and the outage probability, is better than that of the fully distributed resource allocation scheme. However, the performance improvement is at the expense of a high computational complexity.