Multichannel Scheme under Max-Min Fairness Environment for Cognitive Radio Networks
This paper develops a multiple channel assignment
model, which allows to take advantage of spectrum opportunities in
cognitive radio networks in the most efficient way. The developed
scheme allows making several assignments of available and
frequency adjacent channel, which require a bigger bandwidth, under
an equality environment. The hybrid assignment model it is made by
two algorithms, one that makes the ranking and selects available
frequency channels and the other one in charge of establishing the
Max-Min Fairness for not restrict the spectrum opportunities for all
the other secondary users, who also claim to make transmissions.
Measurements made were done for average bandwidth, average
delay, as well as fairness computation for several channel
assignments. Reached results were evaluated with experimental
spectrum occupational data from captured GSM frequency band. The
developed model shows evidence of improvement in spectrum
opportunity use and a wider average transmission bandwidth for each
secondary user, maintaining equality criteria in channel assignment.
[1] Y. Cao, V. O. Li y Z. Cao, «Scheduling Delay-Sensitive and Best-Effort
Traffics in Wireless Networks,» Communications, vol. 3, pp. 2208-2212,
2003.
[2] C. Chih-Yung, L.-L. Hung, C.-T. Chang,. T.-L. Wang y . T.-C. Wang,
«A Cognitive Radio MAC Protocol for Exploiting Bandwidth Utilization
in Wireless Networks,» de Wireless Communications and Mobile
Computing Conference (IWCMC), 2013.
[3] Akyildiz, W.-Y. Lee, M. Vuran Y. S. Mohanty, «NeXt
generation/dynamic spectrum access/cognitive radio wireless networks:
A survey,» Elsevier, pp. 2127-2159, 2006.
[4] P. Huang, C. Wang y L. Xiao, «RC-MAC: A Receiver-Centric MAC
Protocol,» IEEE Transactions on Computers, vol. 64, nº 4, pp. 1149-
1161, Abril 2015.
[5] M. Ghorbanzadeh, A. Abdelhadi y C. Clancy, «A Utility Proportional
Fairness Radio Resource Block Allocation in Cellular Networks,» de
2015 International Conference on Computing, Networking and
Communications, Communication QoS and System Modeling
Symposium, 2015.
[6] Y. Liu y E. Knightly, «Opportunistic Fair Scheduling over Multiple
Wireless Channels,» IEEE Computer and Communications, vol. 2, pp.
1106-1115, 2003.
[7] M. Laddomada, F. Mesiti, M. Mondin y F. Daneshgaran, «On the
Throughput Performance of Multirate IEEE 802.11 Networks with
Variable-Loaded Stations: Analysis, Modeling, and a Novel Proportional
Fairness Criterion,» Wireless Communications, IEEE Transactions, vol.
9, nº 5, pp. 1594-1607, 2010.
[8] S. C. Liew Y Y. Jun, «Proportional Fairness in Multi-Channel Multi-
Rate Wireless Networks–Part I: The Case of Deterministic Channels
with Application to AP Association Problem in Large-Scale WLAN,»
IEEE Transactions on Wireless Communications, vol. 7, nº 9, pp. 3446-
3456, 2008.
[9] Y. J. Zhang y S. C. Liew, «Proportional Fairness in Multi-Channel
Multi-Rate Wireless Networks-Part II: The Case of Time-Varying
Channels with Application to OFDM Systems,» Wireless
Communications, IEEE Transactions , vol. 7, nº 9, pp. 3457-3467, 2008.
[10] W. Li y P. Yi, Resource allocation in next generation wireless networks,
Nova Publishers, 2006.
[1] Y. Cao, V. O. Li y Z. Cao, «Scheduling Delay-Sensitive and Best-Effort
Traffics in Wireless Networks,» Communications, vol. 3, pp. 2208-2212,
2003.
[2] C. Chih-Yung, L.-L. Hung, C.-T. Chang,. T.-L. Wang y . T.-C. Wang,
«A Cognitive Radio MAC Protocol for Exploiting Bandwidth Utilization
in Wireless Networks,» de Wireless Communications and Mobile
Computing Conference (IWCMC), 2013.
[3] Akyildiz, W.-Y. Lee, M. Vuran Y. S. Mohanty, «NeXt
generation/dynamic spectrum access/cognitive radio wireless networks:
A survey,» Elsevier, pp. 2127-2159, 2006.
[4] P. Huang, C. Wang y L. Xiao, «RC-MAC: A Receiver-Centric MAC
Protocol,» IEEE Transactions on Computers, vol. 64, nº 4, pp. 1149-
1161, Abril 2015.
[5] M. Ghorbanzadeh, A. Abdelhadi y C. Clancy, «A Utility Proportional
Fairness Radio Resource Block Allocation in Cellular Networks,» de
2015 International Conference on Computing, Networking and
Communications, Communication QoS and System Modeling
Symposium, 2015.
[6] Y. Liu y E. Knightly, «Opportunistic Fair Scheduling over Multiple
Wireless Channels,» IEEE Computer and Communications, vol. 2, pp.
1106-1115, 2003.
[7] M. Laddomada, F. Mesiti, M. Mondin y F. Daneshgaran, «On the
Throughput Performance of Multirate IEEE 802.11 Networks with
Variable-Loaded Stations: Analysis, Modeling, and a Novel Proportional
Fairness Criterion,» Wireless Communications, IEEE Transactions, vol.
9, nº 5, pp. 1594-1607, 2010.
[8] S. C. Liew Y Y. Jun, «Proportional Fairness in Multi-Channel Multi-
Rate Wireless Networks–Part I: The Case of Deterministic Channels
with Application to AP Association Problem in Large-Scale WLAN,»
IEEE Transactions on Wireless Communications, vol. 7, nº 9, pp. 3446-
3456, 2008.
[9] Y. J. Zhang y S. C. Liew, «Proportional Fairness in Multi-Channel
Multi-Rate Wireless Networks-Part II: The Case of Time-Varying
Channels with Application to OFDM Systems,» Wireless
Communications, IEEE Transactions , vol. 7, nº 9, pp. 3457-3467, 2008.
[10] W. Li y P. Yi, Resource allocation in next generation wireless networks,
Nova Publishers, 2006.
@article{"International Journal of Electrical, Electronic and Communication Sciences:71237", author = "Hans R. Márquez and Cesar Hernández and Ingrid Páez", title = "Multichannel Scheme under Max-Min Fairness Environment for Cognitive Radio Networks", abstract = "This paper develops a multiple channel assignment
model, which allows to take advantage of spectrum opportunities in
cognitive radio networks in the most efficient way. The developed
scheme allows making several assignments of available and
frequency adjacent channel, which require a bigger bandwidth, under
an equality environment. The hybrid assignment model it is made by
two algorithms, one that makes the ranking and selects available
frequency channels and the other one in charge of establishing the
Max-Min Fairness for not restrict the spectrum opportunities for all
the other secondary users, who also claim to make transmissions.
Measurements made were done for average bandwidth, average
delay, as well as fairness computation for several channel
assignments. Reached results were evaluated with experimental
spectrum occupational data from captured GSM frequency band. The
developed model shows evidence of improvement in spectrum
opportunity use and a wider average transmission bandwidth for each
secondary user, maintaining equality criteria in channel assignment.", keywords = "Bandwidth, fairness, multichannel, secondary users.", volume = "9", number = "10", pages = "1174-5", }