Paper Info
Title
Link adaptation design for interfering cognitive radio with QoS constraints
Abstract
In this paper, we consider a primary and a cognitive user transmitting over a wireless fading interference channel. Both primary and cognitive links are subject to delay-QoS constraints. The achievable throughput subject to a given delay-QoS constraint can be quantified as the effective capacity of a link. We consider a system in which the primary user transmits with a constant power and utilizes an adaptive modulation and coding (AMC) scheme subject to its required bit error rate (BER). A link (power and rate) adaptation scheme is proposed for the interfering cognitive radio to maximize its effective capacity, while a minimum required effective capacity for the primary user is provisioned. A BER performance requirement and a power constraint are also considered for the cognitive radio. The resulting problem is then cast as a nonlinear discrete optimization problem for which a fast and efficient suboptimum solution is presented. Comparisons with the scheduled (non-interfering) adaptive cognitive transmission demonstrate the efficiency of the proposed interfering transmission scheme.
Year
DOI
Venue
2010
10.1109/ICTEL.2010.5478785
ICT
Keywords
Field
DocType
adaptive codes,adaptive modulation,cognitive radio,error statistics,fading channels,quality of service,ber performance,qos constraints,adaptive cognitive transmission,adaptive modulation and coding scheme,bit error rate,link adaptation design,link adaptation scheme,nonlinear discrete optimization problem,power adaptation scheme,rate adaptation scheme,wireless fading interference channel,adaptive modulation and coding,interfering transmission,radio transmitters,optimization,link adaptation,discrete optimization,interference,wireless communication,fading
Link adaptation,Transmitter,Wireless,Fading,Computer science,Computer network,Communication channel,Throughput,Bit error rate,Cognitive radio
Conference
ISBN
Citations 
PageRank 
978-1-4244-5247-7
4
0.50
References 
Authors
10
2
Name
Order
Citations
PageRank
Taki, M.171.59
Lahouti, F.213311.22