Interference avoidance for in-device coexistence in 3GPP LTE-advanced: challenges and solutions

Hu, Zhong-Kun; Susitaival, Riikka; Chen, Zhuo; Fu, I-Kang; Dayal, Priyanka; Baghel, Sudhir Kumar

doi:10.1109/mcom.2012.6353683

Cited by 43 publications

(18 citation statements)

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“…2 shows the optimal network scanning period with respect to an increasing number of freely accessible APs/m, ranging from very low to increased AP density [22], and an increasing user speed that ranges from pedestrian to vehicular. The parameters used for this calculation are the following: The macrocell transmission power, i.e., P m , is 250 mW [23], whereas the WLAN transmission power, i.e., P w , is 31 mW [24]. The WLAN cell radius, i.e., R, is 50m, whereas the energy consumption per network scan, i.e., E scan , is 13.7 mJ, assuming that the power consumption of a WLAN mobile terminal for network scanning is 1.37 W [25], with a duration of each active scan to be 10 ms [26].…”

Section: A Analytical Resultsmentioning

confidence: 99%

Energy-Efficient WLAN Offloading Through Network Discovery Period Optimization

Triantafyllopoulou

Guo²,

Moessner

2015

IEEE Trans. Veh. Technol.

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In this paper, we present an analytical framework to improve the energy consumption of mobile nodes through traffic offloading via wireless local area networks (WLANs), taking into account the energy consumption for both data transmission and network discovery operations. More specifically, we formulate an optimization problem, according to which the network scanning period is optimized to minimize the total energy consumption and the energy consumption per transmitted bit in a scenario where a user moves with a constant, either pedestrian or vehicular, speed along a road covered by a long-range cellular network and a number of randomly deployed WLANs. The performance of the system that employs the proposed framework, which uses information on the user speed as well as on the availability and the load level of neighboring networks and performs periodic network scanning with the optimal period, is compared against a suboptimal system that does not take into consideration the user and network context information when determining the network scanning period. According to performance evaluation results, the use of the optimal network scanning period achieves significant improvement in terms of total energy consumption, energy efficiency, and network detection delay.Index Terms-Context awareness, energy efficiency, network discovery, wireless local area network (WLAN) offloading.

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Section: A Analytical Resultsmentioning

confidence: 99%

Energy-Efficient WLAN Offloading Through Network Discovery Period Optimization

Triantafyllopoulou

Guo²,

Moessner

2015

IEEE Trans. Veh. Technol.

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“…Let us take one of the near-capacity coding schemes, for example the IrCC-URC-MSDD-aided-DQPSK scheme designed in previous sections to illustrate the scenario. As above-mentioned, in the practical system [127]- [130], each channel-encoded frame tends to be transmitted in an N sub sub-frames, where the average SN R value at the receiver side may be formulated as:…”

Section: Benefit Of Sub-frame Transmissionmentioning

confidence: 99%

Near-Capacity Wireless System Design Principles

Nguyen

et al. 2015

IEEE Commun. Surv. Tutorials

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Abstract-In this tutorial, the design procedure of nearcapacity channel code design invoking non-binary EXtrinsic Information Transfer (EXIT) charts is illustrated by using design examples of Irregular Concatenated Coding Arrangements (ICCAs) relying on Irregular Convolutional Codes (IrCCs). More specifically, in order to benchmark the near-capacity design examples, both the capacity and the Outage Probability (OP) of the Continuous-input Continuous-output Memoryless Channel (CCMC), of the Discrete-input Continuous-output Memoryless Channel (DCMC) as well as of the Differential Discreteinput Continuous-output Memoryless Channel (D-DCMC) are characterised. Furthermore, the EXIT-chart aided near-capacity design principles are illustrated by detailing the design process of three characteristic prototype schemes, which represent the family of coherent and non-coherent detection based systems as well as Multi-Input Multi-Output (MIMO) systems, respectively. Moreover, the beneficial application of the EXIT-chart based design principle is also demonstrated in the context of cooperative systems using a specific distributed MIMO prototype scheme.

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“…The increased usage of the radio frequency spectrum has lead to introduction of many wireless standards with small frequency separation. For an interference with a small frequency separation to the desired signal, the suppression achieved by the SAW filter is proved to be insufficient [4,5]. Furthermore SAW filters offer no flexibility in selecting a frequency band and for standards with several frequency bands several SAW filters and switching circuits are required.…”

Section: Interference Suppression By Linear Filteringmentioning

confidence: 99%

“…According to (5) any component at the NIS input at the mirror frequency f m is mapped to f d . This can pose a problem when the channel noise around the frequency f m is not filtered by the BPF.…”

Section: Effect Of Input Channel Noise On the Receiver With Nismentioning

confidence: 99%