认知无线电传感器网络CSMA协议中主用户和次用户的性能分析

doi:10.11959/j.issn.1000-0801.2016093

Abstract

Abstract:

For the problem of uncertainty owing to the highly variable physical layer characteristics in cognitive radio sensor networks（CRSN），two fundamental performance metrics（bandwidth and delay）were formulated and the performance of medium access control protocol based on CSMA was analyzed. Firstly，CSMA algorithm was used to estimate potential bandwidth of secondary user under the given PU traffic model. Then，aggregated bandwidth of multiple SU simultaneous transmitting within different business channels was derived. Finally，the priority queue model M/G/C was used to analyze the delay of MAC. Performance analysis shows that dedicating a common control channel for SU enhances their aggregated bandwidth approximately five times and the packet delay reduces significantly through the possibility of concurrent transmissions on different traffic channels.

Key words: cognitive radio, sensor network, bandwidth estimation, delay estimation, primary user, secondary user

Ying LIU,Li ZHENG,Yuansong LI. Performance evaluation of primary user and secondary user based on CSMA protocol in CRSN[J]. Telecommunications Science, 2016, 32(4): 36-43.

Figures/Tables 11

变量	定义
M	PU的数目
N	SU的数目
C	数据业务信道的数目
β	业务信道带宽
τ_on	PU活跃传输期间的时间周期
τ_off	PU保持静止期间的时间周期
λ_p	PU的平均到达率
λ_s	SU的平均到达率
$S_{r}^{s} (t)$	SU在t时刻接收到的信号
S^p（t）	SU在t时刻感知到的PU的信号强度
R（t）	SU在t时刻的数据传输速率
R⁺（t）	公共干扰区域内多个SU获得的聚合数据传输速率
T_bo	CSMA协议中的退避时间周期
CW_min	最小竞争窗口尺寸
CW_max	最大竞争窗口尺寸

References 16

[1]	刘利洋 . 认知无线电传感器网络的协作频谱感知方法[D]. 北京：北京邮电大学， 2014. LIU L Y . A cooperative spectrum sensing method in cognitive radio sensor network[D]. Beijing： Beijing University of Posts and Telecommunications， 2014.
[2]	谢树京，沈连丰 . 认知无线电网络中基于D-S 证据理论的合作频谱感知方法[J]. 电信科学， 2013，29（8）：114-118. XIE S J ， SHEN L F . A cooperative spectrum sensing method based on D-S evidence theory in cognitive radio network[J]. Telecommunications Science， 2013，29（8）：114-118.
[3]	ZHENG L ， TAN C W . Cognitive radio network duality and algorithms for utility maximization[J]. IEEE Journal on Selected Areas in Communications， 2013，31（31）：500-513.
[4]	刘权，赵光胜，王晓东，等. 认知无线电网络信道交汇研究综述[J]. 软件学报， 2014，25（3）：606-630. LIU Q ， ZHAO G S ， WANG X D ， et al. The review of channel intersection research in cognitive radio network[J]. Journal of Software， 2014，25（3）：606-630.
[5]	WANG X ， GAO Z ， FANG Y ， et al. A signal modulation type recognition method based on kernel PCA and random forest in cognitive network[J]. Intelligent Computing Methodologies， 2014，27（14）：522-528.
[6]	STOTAS S ， NALLANATHAN A . Overcoming the sensing-throughput tradeoff in cognitive radio networks[C]// 2010 IEEE International Conference on Communications（ICC），May 23-27，2010，Cape Town，South Africa. New Jersey： IEEE Press， 2010：1-5.
[7]	刘超，张顺颐 . 基于遗传算法的认知无线电网络共同信道和功率最优分配[J]. 南京邮电大学学报：自然科学版， 2013，32（6）：74-79. LIU C ， ZHANG S Y . The optimal allocation of common channel and power based on generation algorithm for cognitive radio network[J]. Journal of Nanjing University of Posts and Telecommunications：Natural Science， 2013，32（6）：74-79.
[8]	SHI Z ， BEARD C ， MITCHELL K . Analytical models for understanding space，backoff，and flow correlation in CSMA wireless networks[J]. Wireless Networks， 2013，19（3）：393-409.
[9]	郑仕链，杨小牛 . 认知无线电频谱切换目标信道访问机制[J]. 电子与信息学报， 2012，34（9）：2213-2217. ZHENG S L ， YANG X N . Spectral switch target channel access mechanism of cognitive radio[J]. Journal of Electronics and Information， 2012，34（9）：2213-2217.
[10]	王钦辉，叶保留，田宇，等. 认知无线电网络中频谱分配算法[J]. 电子学报， 2012，40（1）：147-154. WANG Q H ， YE B L ， TIAN Y ， et al. A spectrum allocation algorithm in cognitive radio network[J]. Acta Electronica Sinica， 2012，40（1）：147-154.
[11]	BICEN A O ， GUNGOR V C ， AKAN O B . Delay-sensitive and multimedia communication in cognitive radio sensor networks[J]. Ad Hoc Networks， 2012，10（5）：816-830.
[12]	陈建白，郑宝玉，褚御芝，等. 认知无线网络中次用户的一种协作传输策略[J]. 信号处理， 2013，28（10）：1432-1438. CHEN J B ， ZHENG B Y ， ZHU Y Z ， et al. A collaborative transmission strategy of secondary user in cognitive radio network[J]. Signal Processing， 2013，28（10）：1432-1438.
[13]	DE DOMENICO A ， STRINATI E C ， BENEDETTO M D . A survey on MAC strategies for cognitive radio networks[J]. IEEE Communications Surveys ＆ Tutorials， 2012，14（1）：21-44.
[14]	EL-SHERIF A A ， SADEK A K ， LIU K J R . Opportunistic multiple access for cognitive radio networks[J]. IEEE Journal on Selected Areas in Communications， 2011，29（4）：704-715.
[15]	CHANG C Y ， HUNG L L ， CHANG C T ， et al. A cognitive radio MAC protocol for exploiting bandwidth utilization in wireless networks[C]// 9th International IEEE Wireless Communications and Mobile Computing Conference（IWCMC），July 1-5，2013，Sardinia，Italy. New Jersey： IEEE Press， 2013：1774-1779.
[16]	胡静，沈连丰，宋铁成 . 基于QoS的认知无线电网络 MAC协议[J]. 东南大学学报：英文版， 2013，28（4）：375-379. HU J ， SHEN L F ， SONG T C . The MAC protocols based on QoS in cognitive wireless networks[J]. Journal of Southeast University：the English Version， 2013，28（4）：375-379.

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参数	取值
PU的数目M	20
业务信道的数目C	20
业务信道带宽β/MHz	1
PU平均空闲时间τ_off/s	0.5
PU平均繁忙时间τ_on/s	0.5
公共控制信道数据传输速率B_cc/（kbit·s^-1）	512
帧周期T_f/ms	50
最大竞争窗口尺寸CW_max	1 024

Performance evaluation of primary user and secondary user based on CSMA protocol in CRSN

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