A novel low complexity energy-efficient resource allocation for OFDM systems

2015 ◽  
Vol 28 (1) ◽  
pp. e2932 ◽  
Author(s):  
Jafar Kazemi ◽  
Mohammad Javad Omidi ◽  
Keivan Navaie
Keyword(s):  
Resource Allocation ◽  
Energy Efficient ◽  
Low Complexity ◽  
Ofdm Systems ◽  
Efficient Resource ◽  
Energy Efficient Resource Allocation

scholarly journals Chunk-Based Energy Efficient Resource Allocation in OFDMA Systems

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Yong Li ◽  
Zhengguang Zheng ◽  
Mingyue Zhao ◽  
Shan Jin ◽  
Zhangqin Huang
Keyword(s):  
Resource Allocation ◽  
Energy Efficient ◽  
Orthogonal Frequency Division Multiplexing ◽  
Optimization Problem ◽  
Low Complexity ◽  
Spectrum Efficiency ◽  
Ofdm Systems ◽  
Efficient Resource ◽  
Energy Efficient Resource Allocation ◽  
Frequency Selective Channels

Energy efficiency (EE) capacity analysis of the chunk-based resource allocation is presented by considering the minimum spectrum efficiency (SE) constraint in downlink multiuser orthogonal frequency division multiplexing (OFDM) systems. Considering the minimum SE requirement, an optimization problem to maximize EE with limited transmit power is formulated over frequency selective channels. Based on this model, a low-complexity energy efficient resource allocation is proposed. The effects of system parameters, such as the average channel gain-to-noise ratio (CNR) and the number of subcarriers per chunk, are evaluated. Numerical results demonstrate the effectiveness of the proposed scheme for balancing the EE and SE.

Cooperative Cognitive Radio Networking

2015 ◽  
pp. 427-453
Author(s):  
Bin Cao ◽  
Qinyu Zhang ◽  
Hao Liang ◽  
Gang Fu ◽  
Jon W. Mark
Keyword(s):  
Resource Allocation ◽  
Cognitive Radio ◽  
Energy Efficient ◽  
Low Complexity ◽  
Radio Spectrum ◽  
Two Phase ◽  
The Sustainable Development ◽  
Phase Cooperation ◽  
Efficient Resource ◽  
Energy Efficient Resource Allocation

Radio spectrum underutilization and energy inefficiency become urgent bottleneck problems to the sustainable development of wireless technologies. The research philosophies of wireless communications have been shifted from balancing reliability-efficiency tradeoff in the link level to seeking spectrum-energy efficiency in the network level. Global spectrum-energy efficient designs attract significant attention to improving utilization and efficiency, wherein cognitive radio networks and energy-efficient resource allocation are of particular interests. In this chapter, the authors first provide a systematic study on Cooperative Cognitive Radio Networking (CCRN). As an effort to shed light on addressing spectrum-energy inefficiency at a low complexity, an orthogonal modulation enabled two-phase cooperation framework and an Orthogonally Dual-Polarized Antenna (ODPA) based framework, as well as their resource allocation problems are given and tackled.

scholarly journals Relay Selection and Subcarrier-Pair Based Energy-Efficient Resource Allocation for Multirelay Cooperative OFDMA Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Wanming Hao ◽  
Shouyi Yang ◽  
Wanliang Hao
Keyword(s):  
Resource Allocation ◽  
Energy Efficient ◽  
Relay Selection ◽  
Low Complexity ◽  
Subgradient Methods ◽  
Amplify And Forward ◽  
Dual Decomposition ◽  
Efficient Resource ◽  
The Individual ◽  
Energy Efficient Resource Allocation

Energy-efficient resource allocation is investigated for a relay-based multiuser cooperation orthogonal frequency division multiple access (OFDMA) uplink system with amplify-and-forward (AF) protocol for all relays. The objective is to maximize the total energy efficiency (EE) of the uplink system with consideration of some practical limitations, such as the individual power constraint for the users and relays and the quality of service (QoS) for every user. We formulate an energy-efficient resource allocation problem that seeks joint optimization of subcarrier pairing, relay selection, subcarrier assignment, and power allocation. Unlike previous optimization throughput models, we transform the considered EE problem in fractional form into an equivalent optimal problem in subtractive form, which is solved by using dual decomposition and subgradient methods. To reduce computation costs, we propose two low-complexity suboptimal schemes. Numerical studies are conducted to evaluate the EE of the proposed algorithms.

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