JOURNAL ARTICLE

Multicast Recipient Maximization in IEEE 802.16j WiMAX Relay Networks

Wen‐Hsing KuoJeng-Farn Lee

Year: 2009 Journal:   IEEE Transactions on Vehicular Technology Vol: 59 (1)Pages: 335-343   Publisher: Institute of Electrical and Electronics Engineers

Abstract

In this paper, we propose a resource-allocation scheme for multicast service in downlink transmission for IEEE 802.16j WiMax relay networks. Most existing algorithms try to minimize the total energy of a multicast tree. In contrast, we address the multicast recipient maximization (MRM) problem, which maximizes the total number of recipients with the given budget by adjusting the distribution of the allocated resource between the base station and the relay nodes. We prove that MRM is NP-complete and propose a polynomial-time scheme called dynamic station selection (DSS) to solve the problem based on the proposed auxiliary graph. Based on the provided lemmas, which serve as important guidelines for solving similar problems, we show that our heuristic algorithm has polynomial-time complexity and prove that its performance is bound to the optimum. The results of simulations demonstrate that, given different amounts of resource and variable channel conditions, the performance of DSS is always close to the optimum. Moreover, DSS more efficiently utilizes resources as the node density increases, resulting in more efficient resource allocation.

Keywords:
Multicast Computer science WiMAX Computer network Relay Maximization Resource allocation Telecommunications link Node (physics) Distributed computing Mathematical optimization Wireless Mathematics Engineering Telecommunications

Metrics

27
Cited By
4.52
FWCI (Field Weighted Citation Impact)
15
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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