Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems
Energy-efficient uplink resource allocation for IEEE 802.16j transparent-relay networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Multihop cellular network optimization using genetic algorithms
Proceedings of the 7th International Conference on Network and Services Management
Location-based vehicular moving predictions for wireless communication
International Journal of Ad Hoc and Ubiquitous Computing
Contention based bandwidth request with signaling analysis in IEEE 802.16 two hop relay networks
Computers and Electrical Engineering
ISRN Communications and Networking
Journal of Network and Computer Applications
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Mobile multihop relay (MMR) networks based on the IEEE 802.16j standard are able to extend the service area as well as improve the performance of mobile WiMAX networks. In this paper, we present a relay-centric hierarchical optimization model for jointly optimizing the radio resource management (RRM) and network planning for the relay stations in MMR networks. We consider an in-band relaying system. For a relay station, the RRM problem deals with optimizing the amount of bandwidth reserved from the base station and admission control for the mobile subscriber stations (MSSs) using relay-based transmissions so that the utility of a relay station is maximized. A Markov decision process (MDP) model is formulated to obtain the short-term optimal action of a relay station. Based on the optimal action of each relay station, the network planning problem is solved for a group of relay stations by optimizing the relay placement and base station selection over a longer period of time considering uncertainties in user mobility and traffic load in the network. A chance-constrained assignment problem (CCAP) is formulated to obtain the optimal decisions to maximize the total utility of relay stations under the probabilistic constraint on the total bandwidth usage of the base stations. Numerical results show that the proposed scheme outperforms a static scheme. The proposed radio resource management and network planning framework will be useful for design and optimization of multihop cellular wireless networks in general.