DocumentCode
1748452
Title
Carrier assignment algorithms in wireless broadband networks with channel adaptation
Author
Koutsopoulos, Iordanis ; Tassiulas, Leandros
Author_Institution
Dept. of Electr. & Comput. Eng., Maryland Univ., College Park, MD, USA
Volume
5
fYear
2001
fDate
2001
Firstpage
1401
Abstract
Wireless broadband access is an appealing solution to the projected trend towards reliable and easily deployable high-speed connections. In order to enhance system capacity and tolerate volatility of the wireless medium, sophisticated adaptation techniques are required. In this paper, we consider the problem of efficient resource allocation with adaptive modulation techniques in a multi-carrier wireless cellular system. We identify the inherent complexity of the problem and propose a heuristic algorithm for carrier frequency assignment to users, based on channel quality. The algorithm leads to an efficient allocation, in the sense that each user is assigned to a carrier and occupies the least number of channels (timeslots). Simulation results show that the algorithm leads to high link utilization and low blocking rate for a wide range of traffic loads and interference levels
Keywords
adaptive modulation; broadband networks; cellular radio; frequency allocation; frequency division multiple access; radio access networks; radiofrequency interference; telecommunication traffic; OFDMA; adaptive modulation; blocking rate; carrier assignment algorithms; carrier frequency assignment; channel adaptation; channel quality; heuristic algorithm; high-speed connections; interference levels; link utilization; multi-carrier wireless cellular system; multiple access communication; resource allocation; system capacity; traffic loads; volatility; wireless broadband access; wireless broadband networks; Bit error rate; Broadband communication; Computer networks; Delay; Educational institutions; Intelligent networks; Intersymbol interference; Resource management; Telecommunication traffic; Throughput;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2001. ICC 2001. IEEE International Conference on
Conference_Location
Helsinki
Print_ISBN
0-7803-7097-1
Type
conf
DOI
10.1109/ICC.2001.937151
Filename
937151
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