Exploiting transmission opportunities in heterogeneous wireless networks: a transmission power saving perspective

Exploiting transmission opportunities in dimensions of user equipments (UEs), radio access networks (RANs), and radio resource units (RRUs), in heterogeneous wireless networks (HWNs), we focus on a new perspective of saving the uplink transmission power, so as to lengthen the battery life time of UEs. Moreover, to ensure the quality of service for each UE, we guarantee each a minimal transmission rate. To achieve the above HWN control objective, we have to make an efficient matching among UEs, RANs, and RRUs, which is formulated as a binary linear optimization problem. Due to its NP-hard complexity, we develop a rate-power efficiency based HWN control algorithm with low computational complexity. We verify the performance of our HWN control scheme through simulation. Extensive simulation results demonstrate the advantage of our HWN control method in saving the uplink transmission power and guaranteeing the UE transmission rate requirement.

[1]  Jean-Marie Bonnin,et al.  Radio resource management in emerging heterogeneous wireless networks , 2011, Comput. Commun..

[2]  Hoon Kim,et al.  Joint Resource Allocation for Parallel Multi-Radio Access in Heterogeneous Wireless Networks , 2010 .

[3]  Keping Long,et al.  Self-organization paradigms and optimization approaches for cognitive radio technologies: a survey , 2013, IEEE Wireless Communications.

[4]  Chengwen Xing,et al.  Power allocation for OFDM-based cognitive heterogeneous networks , 2013, Science China Information Sciences.

[5]  Peng Gong,et al.  Radio Resource Management with Proportional Rate Constraint in the Heterogeneous Networks , 2012, IEEE Transactions on Wireless Communications.

[6]  Thomas L. Magnanti,et al.  Applied Mathematical Programming , 1977 .

[7]  Kwang Bok Lee,et al.  Transmit power adaptation for multiuser OFDM systems , 2003, IEEE J. Sel. Areas Commun..

[8]  Oriol Sallent,et al.  Interworking in heterogeneous wireless networks: Comprehensive framework and future trends , 2010, IEEE Wireless Communications.

[9]  Sampath Rangarajan,et al.  On exploiting diversity and spatial reuse in relay-enabled wireless networks , 2008, MobiHoc '08.

[10]  Gerhard Wunder,et al.  Traffic-aware optimization of heterogeneous access management , 2010, IEEE Transactions on Communications.

[11]  Chengwen Xing,et al.  Statistically robust resource allocation for distributed multi-carrier cooperative networks , 2012, Science China Information Sciences.

[12]  Kyung Sup Kwak,et al.  On PHY and MAC Performance in Body Sensor Networks , 2009, EURASIP J. Wirel. Commun. Netw..

[13]  Chen Nuo-fu,et al.  Ag nanoparticles preparation and their light trapping performance , 2013 .

[14]  Hoon Kim,et al.  Joint Resource Allocation for Parallel Multi-Radio Access in Heterogeneous Wireless Networks , 2010, IEEE Transactions on Wireless Communications.

[15]  Gerhard Wunder,et al.  Decentralized Utility Maximization in Heterogeneous Multicell Scenarios with Interference Limited and Orthogonal Air Interfaces , 2009, EURASIP J. Wirel. Commun. Netw..

[16]  Keping Long,et al.  On Swarm Intelligence Inspired Self-Organized Networking: Its Bionic Mechanisms, Designing Principles and Optimization Approaches , 2014, IEEE Communications Surveys & Tutorials.