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      KCI등재 SCI SCIE SCOPUS

      Energy-Efficient Power Allocation for Cognitive Radio Networks with Joint Overlay and Underlay Spectrum Access Mechanism

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      https://www.riss.kr/link?id=A103373056

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      다국어 초록 (Multilingual Abstract)

      Traditional designs of cognitive radio (CR) focus on maximizing system throughput. In this paper, we study the joint overlay and underlay power allocation problem for orthogonal frequency-division multiple access–based CR. Instead of maximizing system throughput, we aim to maximize system energy efficiency (EE), measured by a “bit per Joule” metric, while maintaining the minimal rate requirement of a given CR system, under the total power constraint of a secondary user and interference constraints of primary users. The formulated energy-efficient power allocation (EEPA) problem is nonconvex; to make it solvable, we first transform the original problem into a convex optimization problem via fractional programming, and then the Lagrange dual decomposition method is used to solve the equivalent convex optimization problem. Finally, an optimal EEPA allocation scheme is proposed. Numerical results show that the proposed method can achieve better EE performance.
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      Traditional designs of cognitive radio (CR) focus on maximizing system throughput. In this paper, we study the joint overlay and underlay power allocation problem for orthogonal frequency-division multiple access–based CR. Instead of maximizing syst...

      Traditional designs of cognitive radio (CR) focus on maximizing system throughput. In this paper, we study the joint overlay and underlay power allocation problem for orthogonal frequency-division multiple access–based CR. Instead of maximizing system throughput, we aim to maximize system energy efficiency (EE), measured by a “bit per Joule” metric, while maintaining the minimal rate requirement of a given CR system, under the total power constraint of a secondary user and interference constraints of primary users. The formulated energy-efficient power allocation (EEPA) problem is nonconvex; to make it solvable, we first transform the original problem into a convex optimization problem via fractional programming, and then the Lagrange dual decomposition method is used to solve the equivalent convex optimization problem. Finally, an optimal EEPA allocation scheme is proposed. Numerical results show that the proposed method can achieve better EE performance.

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      참고문헌 (Reference)

      1 S. Boyd, "Subgradient Methods" Stanford University

      2 G. Bansal, "Subcarrier and Power Allocation for OFDMABased Cognitive Radio Systems with Joint Overlay and Underlay Spectrum Access Mechanism" 62 (62): 1111-1122, 2013

      3 E.Z. Tragos, "Spectrum Assignment in Cognitive Radio Networks: A Comprehensive Survey" 15 (15): 1108-1135, 2013

      4 P. Wang, "Power Allocation in OFDM-Based Cognitive Radio Systems" 26 (26): 4061-4065, 2007

      5 G. Bansal, "Optimal and Suboptimal Power Allocation Schemes for OFDM-Based Cognitive Radio Systems" 7 (7): 4710-4718, 2008

      6 Y. Wang, "Optimal Energy-Efficient Power Allocation for OFDM-Based Cognitive Radio Networks" 16 (16): 1420-1423, 2012

      7 S. Akin, "On the Throughput and Energy Efficiency of Cognitive MIMO Transmissions" 62 (62): 3245-3260, 2013

      8 M.G. Khoshkholgh, "On the Impact of the Primary Network Activity on the Achievable Capacity of Spectrum Sharing over Fading Channels" 8 (8): 2100-2111, 2009

      9 W. Dinkelbach, "On Nonlinear Fractional Programming" 13 (13): 492-498, 1967

      10 T. Weiss, "Mutual Interference in OFDM-Based Spectrum Pooling Systems" 4 : 1873-1877, 2004

      1 S. Boyd, "Subgradient Methods" Stanford University

      2 G. Bansal, "Subcarrier and Power Allocation for OFDMABased Cognitive Radio Systems with Joint Overlay and Underlay Spectrum Access Mechanism" 62 (62): 1111-1122, 2013

      3 E.Z. Tragos, "Spectrum Assignment in Cognitive Radio Networks: A Comprehensive Survey" 15 (15): 1108-1135, 2013

      4 P. Wang, "Power Allocation in OFDM-Based Cognitive Radio Systems" 26 (26): 4061-4065, 2007

      5 G. Bansal, "Optimal and Suboptimal Power Allocation Schemes for OFDM-Based Cognitive Radio Systems" 7 (7): 4710-4718, 2008

      6 Y. Wang, "Optimal Energy-Efficient Power Allocation for OFDM-Based Cognitive Radio Networks" 16 (16): 1420-1423, 2012

      7 S. Akin, "On the Throughput and Energy Efficiency of Cognitive MIMO Transmissions" 62 (62): 3245-3260, 2013

      8 M.G. Khoshkholgh, "On the Impact of the Primary Network Activity on the Achievable Capacity of Spectrum Sharing over Fading Channels" 8 (8): 2100-2111, 2009

      9 W. Dinkelbach, "On Nonlinear Fractional Programming" 13 (13): 492-498, 1967

      10 T. Weiss, "Mutual Interference in OFDM-Based Spectrum Pooling Systems" 4 : 1873-1877, 2004

      11 G. Bansal, "Joint Overlay and Underlay Power Allocation Scheme for OFDM-Based Cognitive Radio Systems" 1-5, 2010

      12 M. Ge, "Fast Optimal Resource Allocation is Possible for Multiuser OFDM-Based Cognitive Radio Networks with Heterogeneous Services" 11 (11): 1500-1509, 2012

      13 S. Kim, "Energy-Per-Bit Minimized Radio Resource Allocation in Heterogeneous Networks" 13 (13): 1862-1873, 2014

      14 X. Cong, "Energy-Efficient Spectrum Access in Cognitive Radios" 32 (32): 550-562, 2014

      15 W.J. Shi, "Energy-Efficient Resource Allocation in Cognitive Radio Systems" 4618-4623, 2013

      16 S. Wang, "Energy-Efficient Resource Allocation for OFDM-Based Cognitive Radio Networks" 61 (61): 3181-3191, 2013

      17 M. Ge, "Energy-Efficient Power Allocation for Cooperative Relay Cognitive Radio Networks" 691-696, 2013

      18 W. Zhong, "Energy Efficient Spectrum Sharing Strategy Selection for Cognitive MIMO Interference Channels" 61 (61): 3705-3717, 2013

      19 J. Mao, "Energy Efficiency Optimization for OFDM-Based Cognitive Radio Systems: A Water-Filling Factor Aided Search Method" 12 (12): 2366-2375, 2013

      20 T.N. Duy, "Distributed Resource Allocation for Cognitive Radio Networks with Spectrum Sharing Constrains" 60 (60): 3436-3449, 2011

      21 S. Boyd, "Convex Optimization" Cambridge University Press 562-622, 2004

      22 C.-X. Wang, "Cellular Architecture and Key Technologies for 5G Wireless Communication Networks" 52 (52): 122-130, 2014

      23 G. Bansal, "Adaptive Power Loading for OFDM-Based Cognitive Radio Systems with Statistical Interference Constraint" 10 (10): 2786-2791, 2011

      24 D. Feng, "A Survey of Energy-Efficient Wireless Communications" 15 (15): 167-178, 2013

      25 V. Chakravarthy, "A Novel Hybrid Overlay/Underlay Cognitive Radio Waveform in Frequency Selective Fading Channels" 1-6, 2009

      26 J. Oh, "A Hybrid Cognitive Radio System: A Combination of Underlay and Overlay Approaches" 1-5, 2010

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      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2005-09-27 학술지등록 한글명 : ETRI Journal
      외국어명 : ETRI Journal
      KCI등재
      2003-01-01 평가 SCI 등재 (신규평가) KCI등재
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      2016 0.78 0.28 0.57
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      0.47 0.42 0.4 0.06
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