Title :
Decentralized dynamic spectrum allocation based on adaptive antenna array interference mitigation diversity: Algorithms and Markov chain analysis
Author :
Kuzminskiy, Alexandr M. ; Abramovich, Yuri I.
Author_Institution :
Bell Labs., Alcatel-Lucent, Swindon
Abstract :
Decentralized dynamic spectrum allocation (DSA) that exploit adaptive antenna array interference mitigation (IM) diversity at the receiver, is proposed for interference-limited environments with high level of frequency reuse. The system consists of base stations (BSs) that may belong to different providers, who can optimize uplink frequency allocation to their subscriber stations (SSs) to achieve the least impact of IM on the useful signal, assuming no control over band allocation of other BSs sharing the same bands. ldquoSelfishrdquo and ldquogood neighborrdquo decentralized DSA strategies are considered. Convergence and convergence rate of the introduced techniques are investigated by means of the theory of absorbing Markov chains.
Keywords :
Markov processes; adaptive antenna arrays; diversity reception; frequency allocation; interference suppression; radiofrequency interference; Markov chain analysis; adaptive antenna array; decentralized dynamic spectrum allocation; good-neighbor IM-based DSA technique; interference mitigation diversity; selfish IM-based DSA technique; subscriber station; uplink frequency allocation; Adaptive arrays; Algorithm design and analysis; Antenna arrays; Base stations; Control systems; Convergence; Frequency diversity; Interference; Radio spectrum management; Receiving antennas; “selfish” and “good neighbor” strategies; Decentralized dynamic spectrum allocation; absorbing Markov chain; interference mitigation;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2009.4960416
