Abstract
Due to the precipitous growth of wireless networks and the paucity of spectrum, more interference is imposed to the wireless terminals which constraints their performance. In order to preserve such performance degradation, this paper proposes a framework which uses cognitive radio techniques for quality of service (QoS) management of wireless local area networks (LANs). The framework incorporates radio environment maps as input to a cognitive decision engine that steers the network to optimize its QoS parameters such as throughput. A novel experimentally verified heuristic physical model is developed to predict and optimize the throughput of wireless terminals. The framework was applied to realistic stationary and time-variant interference scenarios where an average throughput gain of 344% was achieved in the stationary interference scenario and 70% to 183% was gained in the time-variant interference scenario.
Highlights
Large-scale growth of wireless networks and spectrum scarcity are introducing more interference than ever
We extend the concept by bringing cognitive radio techniques for quality of service (QoS) management to the industrial scientific medical (ISM) band wireless local area network (WLAN) as well as incorporating radio environment maps to the framework
We propose to calculate the input arguments of the model of equation 4 by first calculating the equivalent interference transmission rate: TxRateeq.(Mbps) where N is the total number of packets sniffed, Ri is the transmission rate of the sniffed packet, Li is the length of the sniffed packet, and LT is the total length of all sniffed packets in the current block of sniffed packets
Summary
Large-scale growth of wireless networks and spectrum scarcity are introducing more interference than ever. Cognitive radios (CRs) are becoming a tempting solution to tackle this type of spectrum over-utilization by introducing opportunistic usage of frequency bands that are not heavily occupied by licensed users [1]. The equal regulatory status of wireless terminals on the industrial scientific medical (ISM) band leaves no consideration of a primary user for various wireless networks. Wireless networks are designed to tackle homogeneous intra/inter network interference by means of various medium access techniques. For instance in [2], a large number of experiments prove that the throughput of IEEE 802.11 wireless local area network (WLAN) is highly dependent on the traffic characteristics of other present Wi-Fi networks
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