Optimal Flexible Spectrum Access in Wireless Networks with Software Defined Radios

Uddin, Mohammad Faisal; Alazemi, Hamed M. K.; Assi, Chadi

doi:10.1109/twc.2010.111910.100871

Cited by 11 publications

(10 citation statements)

References 19 publications

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“…We continue using the problem instance (where SINR interference is not considered) and parameter settings in [11] as follows: P o = 1 m Watt, α = 2, N 0 = 10 −6 Watt/MHz, and β = 1.3.…”

Section: Experimental Results and Analysismentioning

confidence: 99%

“…A recent work in [ 10 ] has proposed a software technique with very little overhead that can dynamically adapt the widths of multiple channels at different times so as to attain more concurrent transmissions and reduce signal interference under limited resource of wireless spectrum. Note that although the previous works for the joint RSC problem in [ 11 , 12 ] have proposed to apply such a variable-width channel allocation scheme to control signal interference, some delicate constraints are not concerned in their linear programming models.…”

Section: Introductionmentioning

confidence: 99%

“…Our experimental results are first compared with the optimal solutions for the small-scale problems that do not consider the influence of signal interference on channel capacity, and then a comprehensive experimental analysis on more complex problems is conducted. Note that the work in [ 11 ] has proposed an SA approach for a joint routing, link scheduling, and spectrum allocation, but its linear programming model and our SA approach are different from ours.…”

Section: Introductionmentioning

confidence: 99%

“…The main contributions of this paper are stated as follows: the SA algorithm with a novel encoding mechanism is designed and implemented to solve a novel joint RSC problem with variable-width channel allocation scheme; we establish a linear programming model for the novel joint RSC problem, in which in order to be more realistic than the previous works in [ 11 , 12 ], we consider that the channel capacity is influenced by the allocated channel width, transmission range, and signal interference; we propose an innovative solution encoding design in which the configurations of multiple time slots are devised to characterize the dynamic data transmission process in WMNs. …”

Section: Introductionmentioning

confidence: 99%

“…we establish a linear programming model for the novel joint RSC problem, in which in order to be more realistic than the previous works in [ 11 , 12 ], we consider that the channel capacity is influenced by the allocated channel width, transmission range, and signal interference;…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Novel Joint Problem of Routing, Scheduling, and Variable-Width Channel Allocation in WMNs

Lin

Liu

Chou³

et al. 2014

The Scientific World Journal

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This paper investigates a novel joint problem of routing, scheduling, and channel allocation for single-radio multichannel wireless mesh networks in which multiple channel widths can be adjusted dynamically through a new software technology so that more concurrent transmissions and suppressed overlapping channel interference can be achieved. Although the previous works have studied this joint problem, their linear programming models for the problem were not incorporated with some delicate constraints. As a result, this paper first constructs a linear programming model with more practical concerns and then proposes a simulated annealing approach with a novel encoding mechanism, in which the configurations of multiple time slots are devised to characterize the dynamic transmission process. Experimental results show that our approach can find the same or similar solutions as the optimal solutions for smaller-scale problems and can efficiently find good-quality solutions for a variety of larger-scale problems.

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“…We continue using the problem instance (where SINR interference is not considered) and parameter settings in [11] as follows: P o = 1 m Watt, α = 2, N 0 = 10 −6 Watt/MHz, and β = 1.3.…”

Section: Experimental Results and Analysismentioning

confidence: 99%