TY - GEN
T1 - Interference mitigation using spectrum sensing and dynamic frequency hopping
AU - Rahman, Mohammad J.Abdel
AU - Krunz, Marwan
AU - Erwin, Richard
PY - 2012/12/1
Y1 - 2012/12/1
N2 - Wireless communications are prone to both unintentional and intentional RF interference. Such interference has significant impact on the reliability of packet transmissions. In this paper, we consider interference mitigation in frequency hopping (FH) systems. We employ cognitive radios (CRs) for proactive interference sensing in such systems. Through this proactive approach, we propose a scheme for dynamic adjustment of the FH sequence. Our protocol, called SSDFH, relies on exploiting the spectrum sensing capabilities of CRs for proactive detection of channel quality. We analyze the characteristics of the proposed SSDFH using a continuous-time Markov chain framework. Level crossing rate (LCR) analysis is used to determine the transition rates for the Markov chain, which are then used to measure the 'channel stability,' a metric that reflects the freshness of sensed channel interference. The selection of different protocol parameters is studied by means of analysis. In particular, we provide a numerical procedure for determining the 'optimal' total sensing time that minimizes the probability of 'black holes.' We run simulations to study the performance of our proposed protocol.
AB - Wireless communications are prone to both unintentional and intentional RF interference. Such interference has significant impact on the reliability of packet transmissions. In this paper, we consider interference mitigation in frequency hopping (FH) systems. We employ cognitive radios (CRs) for proactive interference sensing in such systems. Through this proactive approach, we propose a scheme for dynamic adjustment of the FH sequence. Our protocol, called SSDFH, relies on exploiting the spectrum sensing capabilities of CRs for proactive detection of channel quality. We analyze the characteristics of the proposed SSDFH using a continuous-time Markov chain framework. Level crossing rate (LCR) analysis is used to determine the transition rates for the Markov chain, which are then used to measure the 'channel stability,' a metric that reflects the freshness of sensed channel interference. The selection of different protocol parameters is studied by means of analysis. In particular, we provide a numerical procedure for determining the 'optimal' total sensing time that minimizes the probability of 'black holes.' We run simulations to study the performance of our proposed protocol.
KW - Spectrum sensing
KW - cognitive radio
KW - continuous-time Markov chains
KW - dynamic frequency hopping
UR - http://www.scopus.com/inward/record.url?scp=84872004439&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84872004439&partnerID=8YFLogxK
U2 - 10.1109/ICC.2012.6363744
DO - 10.1109/ICC.2012.6363744
M3 - Conference contribution
AN - SCOPUS:84872004439
SN - 9781457720529
T3 - IEEE International Conference on Communications
SP - 4421
EP - 4425
BT - 2012 IEEE International Conference on Communications, ICC 2012
T2 - 2012 IEEE International Conference on Communications, ICC 2012
Y2 - 10 June 2012 through 15 June 2012
ER -