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A truncated censored sequential spectrum sensing technique is considered as an energy saving approach for a cooperative spectrum sensing system. In order to design the underlying sensing parameters, the maximum energy consumption per sensor is minimized subject to a lower bounded global probability of detection and an upper bounded false alarm rate. We compare the performance of the proposed scheme...
An efficient cooperative spectrum sensing based cognitive radio network employs a certain number of secondary users to sense the spectrum while satisfying a constraint on the detection performance. We derive the optimal number of cognitive radios under two scenarios: an energy efficient and a throughput optimization setup. In the energy efficient setup, the number of cooperating cognitive radios is...
We consider the energy-bandwidth tradeoff in a 2-dimensional multi-hop wireless network with spatial reuse. Spatial reuse is introduced to improve the bandwidth efficiency but also causes interference. In this paper, we propose a new transmission energy selection strategy in interference-limited networks in order to improve network throughput. The proposed strategy is distance-aware transmission,...
Coverage and capacity optimization is considered as one of the most important optimization items for cellular network. It is beneficial from energy consumption and interference deduction perspective if the downlink base station power can be regulated according to the UEs distribution and service requirements. A cellular base station downlink power regulation scheme is studied where the power regulation...
Low energy adaptive clustering hierarchy (LEACH) is widely discussed, in the literature, for energy efficient data centric wireless sensor networks. Due to its seminal nature it has emerged as a benchmark for performance comparison. For uniform energy consumption of sensor nodes, it suggests rotation of the clusterhead role after a fixed duration, with probabilistic selection of sensor nodes as clusterheads...
Reduction of operational efforts and complexity are key drivers for RAN long term evolution (LTE). The mechanisms how to ease network performance analyses and problem findings, reduce efforts in maintaining the network becomes hot topic. By introducing self-organizing network (SON) functions, operational efforts are expected to be greatly minimized. A self optimizing function shall increase network...
This paper studies time division multiple access (TDMA) scheduling with both energy efficiency and optimized delay in clustered wireless sensor networks (WSNs). To achieve this goal, we first build a cross-layer optimization model for attaining network wide efficient energy consumption. We solve this model by transforming it into simpler sub-problems that can be solved using conventional methods....
Dynamic spectrum management (DSM) is an important technique for mitigating crosstalk noise in multi-user digital subscriber line (DSL) environments. Until now, most of the proposed algorithms for DSM have been designed solely for the purpose of bitrate maximization. These algorithms assume a fixed maximum total power and neglect the energy consumption in DSL modems. However, since recently there is...
Channel capacity and node energy represent resources and constraints in designing efficient routing schemes for Wireless Sensor Networks(WSNs). To delivery more data, a higher rate is desirable, which however consumes more energy and may demand more bandwidth. Hence, data transmission in WSNs should take into account both limited capacity and constrained energy. In this paper, we propose an utility-based...
In this paper, an energy efficient adaptive modulation scheme is proposed for a wireless cognitive radio ad hoc network, where each node is equipped with cognitive radio and the network is an OFDMA system operating on time slots. In each slot, the users with new traffic demand will sense the spectrum and locate the available subcarrier set. Then they choose subcarriers with favorable channel condition...
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