Power saving for real-time services in multiuser OFDMA-based cognitive radio systems under average interference constraint

He, Junjia; Cai, Xu

doi:10.1016/j.aeue.2012.06.003

Cited by 7 publications

(2 citation statements)

References 30 publications

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“…In our subsequent discussion by joint MTI routing and power allocation scheme, we mean that power allocation is done by (12) and routing is done by (15). …”

Section: Joint Power Allocation and Routing For Mtimentioning

confidence: 99%

“…We assume underlay mode [10] of operation for such CRNs, i.e., PUs and SUs are sharing common spectrum simultaneously with the constraint that the aggregate interference at PU destination (PUD) node due to SUs' transmissions should not compromise PU's interest. Hence interference management is of paramount importance in the design of CRNs [11][12][13][14][15][16][17]. Existing solutions primarily emphasize on fixed and adaptive power control and channel assignment schemes for SUs.…”

Section: Introductionmentioning

confidence: 99%

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Joint Power Allocation and Routing in Outage Constrained Cognitive Radio Ad Hoc Networks

Basak

Acharya

2015

Mobile Netw Appl

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We investigate the problems of route lifetime maximization and interference to primary user minimization jointly in outage constrained stationary cognitive radio ad hoc networks. It may be noted that although, both lifetime maximization schemes in wireless ad hoc networks (WANETs) and interference minimization schemes in cognitive radio networks mostly aim to minimize transmission power of nodes in a given routing session, using any one of them to achieve both of the said objectives simultaneously does not yield satisfactory performance. In this paper, first, we study both minimum total interference (MTI) and maximum lifetime (ML) routing problems separately as joint power allocation and routing problems. Next closed form expressions for power allocation for both MTI and ML strategies are derived and, from these solutions, we obtain corresponding routing metrics to solve the routing problems. Moreover, closed form expression for a hybrid-ML-MTI power allocation approach is also proposed followed by a new hybrid routing metric. We also present implementation issues related to the proposed hybrid routing and power allocation scheme. Extensive simulation results are used to evaluate performance of our proposed schemes both in regular grid and random networks. Results show that while in grid networks, a straightforward combination of MTI routing with ML power allocation scheme strikes a good balance between interference and lifetime performances, in random networks, our proposed hybrid approach is found to extend lifetime and control interference performances simultaneously in a significant manner.

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“…In our subsequent discussion by joint MTI routing and power allocation scheme, we mean that power allocation is done by (12) and routing is done by (15). …”

Section: Joint Power Allocation and Routing For Mtimentioning

confidence: 99%