Relay-based resource allocation in cognitive networks

Shi-bing ZHANG; Hao-ye ZHANG; Xue LI; Zhi-hua BAO

doi:1000-436X(2011)11-0003-08

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Relay-based resource allocation in cognitive networks

Papers | 更新时间：2024-06-05

- Relay-based resource allocation in cognitive networks
- Journal on Communications Vol. 32, Issue 11, Pages: 3-10(2011)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：1000-436X(2011)11-0003-08
  CLC： TN915
- Online First：2011-11，
  
  Published：25 November 2011
- 稿件说明：
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Shi-bing ZHANG, Hao-ye ZHANG, Xue LI, et al. Relay-based resource allocation in cognitive networks[J]. Journal on Communications, 2011, 32(11): 3-10.
DOI：

Shi-bing ZHANG, Hao-ye ZHANG, Xue LI, et al. Relay-based resource allocation in cognitive networks[J]. Journal on Communications, 2011, 32(11): 3-10. DOI： 1000-436X(2011)11-0003-08.

摘要

根据无线认知中继网络上、下行链路子载波的信道特性，研究认知网络的频谱资源分配，提出一种上、下行链路子载波联合优化的分配算法。该算法根据子信道增益差值因子的大小分配下行链路子载波，以源节点和中继节点功率最小化为优化目标配对上行链路子载波，以用户的实时需求分配子载波的比特和功率，有效降低了系统的发射功率，提高了系统吞吐量。仿真结果表明，与启发—集中式和分布式辅助反馈传输功率分配算法比较，该联合优化算法的单位比特功耗降低了1.5～3 dB μW，误比特率性能提高了1个数量级左右。

Abstract

Based on the optimal pairing the subcarriers of uplink and downlink

a spectrum resource allocation algorithm was proposed according to the subcarrier characteristics of the uplink and downlink in cognitive relay networks.The algorithm allocated the subcarriers in downlink according to the difference of subchannel gains.It assigned the subcarriere in uplink to minimize the power of every source nodes and relay nodes

and distributed the bits and powers of all subcarriers to satisfy the immediate request.It could decrease the power transmitted and increase the throughput of the system.The simulation results show that the algorithm proposed reduces the per bit power by 1.5～3 dBμW and improve the performance by one order of magnitude in bit error rate compared with the heuristic centralized scheme and distributed feedback-assisted-transmit power allocation algorithm.

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references

Federal Communications Commission . Spectrum Policy Task Force [R ] . ET Docket No.02-135,Nov . 2002 .

MITOLA J . Cognitive Radio:An Integrated Agent Architecture for Software Defined Radio [R ] . Royal Inst Techno1(KTH),Stockholm,Sweden , 1999 .

WANG B , LIU K J R . Advances in cognitive radio networks:a survey [J ] . IEEE Journal of Selected Topics in Signal Processing , 2011 , 5 ( 1 ): 5 - 23 .

GRANDE L M . IEEE dynamic spectrum access policy standards work [A ] . Proceedings of 2009 IEEE Military Communications Conference [C ] . 2009 . 1 - 4 .

ASGHARI V , AISSA S . Resource management in spectrum-sharing cognitive radio broadcast channels:adaptive time and power allocation [J ] . IEEE Transactions on Communications , 2011 , 59 ( 5 ): 1446 - 1457 .

MARQUES A G , WANG X , GIANNAKIS G B . Dynamic resource management for cognitive radios using limited-rate feedback [J ] . IEEE Transactions on Signal Processing , 2009 , 57 ( 9 ): 3651 - 3666 .

ZHANG Y , LEUNG C . A distributed algorithm for resource allocation in OFDM cognitive radio systems [J ] . IEEE Transactions on Vehicular Technology , 2011 , 60 ( 2 ): 546 - 554 .

XIE R , JI H , SI P , et al . Dynamic channel and power allocation in cognitive radio networks supporting heterogeneous services [A ] . Proceedings of 2010 IEEE Globecom [C ] . 2010 . 1 - 4 .

HASAN Z , BANSAL G , HOSSAIN , et al . Energy-efficient power allocation in OFDM-based cognitive radio systems:a risk-return model [J ] . IEEE Transactions on Wireless Communications , 2009 , 8 ( 12 ): 6078 - 6088 .

ALMALFOUH S M , STIIBER G L . Interference-aware radio resource allocation in OFDMA-based cognitive radio networks [J ] . IEEE Transactions on Vehicular Technology , 2011 , 60 ( 4 ): 1699 - 1713 .

NGO D T , NGUYEN H H . Resource allocation for OFDMA-based cognitive radio multicast networks with primary user activity consideration [J ] . IEEE Transactions on Vehicular Technology , 2010 , 59 ( 4 ): 1668 - 1679 .

TIAN Z , LOTTICI V . Joint dynamic resource allocation and waveform adaptation for cognitive networks [J ] . IEEE Journal on Selected Areas in Communications , 2011 , 29 ( 2 ): 443 - 454 .

李美玲 , 袁超伟 , 李琳 , 等 . 使次系统容量最大化的协作频谱感知性能分析及优化 [J ] . 通信学报 , 2011 , 32 ( 2 ): 53 - 60 .

LI M L , YUAN C W , LI L , et al . Performance analysis and optimization of cooperative spectrum sensing for maximizing secondary throughput [J ] . Journal on Communications , 2011 , 32 ( 2 ): 53 - 60 .

FAN R , JIANG H , GUO Q , et al . Joint optimal cooperative sensing and resource allocation in multichannel cognitive radio networks [J ] . IEEE Transactions on Vehicular Technology , 2011 , 60 ( 2 ): 722 - 729 .

WANG W , KASIRI B , CAI J , et al . Channel assignment of cooperative spectrum sensing in multi-channel cognitive radio networks [A ] . Proceedings of 2011 IEEE International Conference on Communications [C ] . 2011 . 1 - 5 .

LU Q , PENG T , WANG W , et al . Optimal route selection and resource allocation in multi-hop cognitive radio networks [A ] . Proceedings of 2009 IEEE Globecom [C ] . 2009 . 1 - 6 .

MIETZNER J , LAMPE L , SCHOBER R . Distributed transmit power allocation for multihop cognitive-radio systems [J ] . IEEE Transactions on Wireless Communications , 2009 , 8 ( 10 ): 5187 - 5201 .

CUMANAN K , KRISHNA R , XIONG Z , et al . Multiuser spatial multiplexing techniques with constraints on interference temperature for cognitive radio networks [J ] . IET Signal Process , 2010 , 4 ( 6 ): 666 - 672 .

WANG W , YANG S , GAO L . Comparison of schemes for joint subcarrier matching and power allocation in OFDM decode-andforward relay system [A ] . Proceedings of 2008 IEEE International Conference on Communications [C ] . 2008 . 4983 - 4987 .

ZHANG W , LETAIEF . Cooperative spectrum sensing with transmit and relay diversity in cognitive networks [J ] . IEEE Transactions on Wireless Communications , 2008 , 7 ( 12 ): 4761 - 4766 .

LV N , YANG H C . Performance analysis of greedy subcarrier allocation schemes for OFDMA systems with adaptive modulation [A ] . Proceedings of 2010 IEEE 17th International Conference on Telecommunications [C ] . 2010 . 190 - 195

WANG Y , QU X , WU T , et al . Power allocation and subcarrier pairing algorithm for regenerative OFDM relay system [A ] . Proceedings of 2007 IEEE 65th Vehicular Technology Conference [C ] . 2007 . 2727 - 2731 .

王飞飞 . 下一代无线通信系统中高效传输及协作通信关键技术的研究 [D ] . 北京邮电大学 , 2010 .

WANG F F . Research on Efficient Transmission Technique and Cooperative Communication for Next Generation Wireless Communication Systems [D ] . Beijing University of Posts and Telecommunications , 2010 .

张士兵 , 张力军 , 徐晨 . 一种基于多带OFDM的超宽带通信系统 [J ] . 通信学报 , 2006 , 27 ( 3 ): 79 - 85 .

ZHANG S B , ZHANG L J , XU C . Ultra-wideband system based on multi-band OFDM [J ] . Journal on Communications , 2006 , 27 ( 3 ): 79 - 85 .

ZHANG S B , BAO Z H . Linear combination-based energy detection algorithm in low signal-to-noise ratio for cognitive radios [J ] . European Transactions on Telecommunications , 2011 , 22 ( 5 ): 211 - 217 .

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