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Cognitive Radio Spectrum-Sharing Technology
Published in Krzysztof Iniewski, Wireless Technologies, 2017
Danijela Cabric, Robert W. Brodersen
The underlay and overlay sharing strategies to increasing spectrum utilization, which have been discussed, represent only the first steps toward implementing such systems. In particular, interference to the secondary users, which must tolerate in-band, allocated users, is a challenging design task. Ways of coping with an “interference channel” as opposed to a Gaussian noise channel have little theoretical support, other than the information theory result that a large interfering signal does not significantly reduce capacity, since it can be detected and subtracted out. How such subtraction is actually implemented is of course not indicated by the information theoretic results, but it is comforting to the implementer that we are not working against fundamental limits.
Device-to-Device Communication Aspects for 5G Cellular Networks
Published in Athanasios G. Kanatas, Konstantina S. Nikita, Panagiotis Mathiopoulos, New Directions in Wireless Communications Systems, 2017
Petros S. Bithas, George P. Efthymoglou
where: mI is the Nakagami fading parameter for the interference channelΩI is the average received interference-to-noise ratio (INR) of the interfering signal
Cellular Systems
Published in Lal Chand Godara, Handbook of Antennas in Wireless Communications, 2018
Mobile-controlled handoff, is a highly decentralized method and does not need any assistance from the MSC. In this scheme a mobile monitors signal strength on its current channel and measures signals received from the neighboring base stations. It receives BER and signal strength information from its serving base stations about uplink channels. Based on all this information, it initiates the handoff process by requesting the neighboring base for allocation of a low interference channel. The method has a handoff execution time on the order of 100 ms and is suitable for microcell systems.
A Reliable Co-operative Decision-Making Technique for the Improvement in the Performance of Multi-User CRN Using Coalition Game Theory
Published in IETE Journal of Research, 2022
In most of the previous studies, single PU and multiple SUs CRN were considered. In a few papers, the reliability of SSD was investigated. Most of the researchers claimed that soft FD has better than hard FD for CSS. However, soft FD requires more bandwidth for control channel and provides less time for data transmission. In multiple PU environments, SUs receive multipath signals from various PUs as shown in Figure 1. A circle in Figure 1 shows spectrum sensing region of SU. Solid line between and shows a direct channel and dash line shows interference channel. In such a scenario, spectrum sensing becomes a more difficult task for . This reduces its , results in erratic SSD; collaborative SSD becomes more time consuming which degrades the overall performance of CRN. To alleviate these problems and improve the performance of multi-user CRN, this study proposes a reliable intra-coalition and inter-coalition DMT. In this technique, Coalition Game Theory (CGT) has been used to form small coalitions of SUs and a hard combining method has been utilized to save control channel bandwidth and acquire more time for data communication. A faster collaborative SSD has been obtained in such a way that there is an improvement in the performance of CRN.
Probabilistic stability of power control systems with Nakagami-m fading channels
Published in International Journal of Systems Science, 2023
The measured interference within the received power at node is denoted by , where denotes the power transmitted by node ; is the channel gain between each communication pair; stands for the interference channel gain between receiver and the unmatched transmitter ; is the additive noise at receiver i. Note that is positive and can take values in the interval . By Foschini and Miljanic (1993), the communication quality can be defined by SINR, described by To achieve the desired QoS, the SINR should be no less than a positive value γ, expressed as which is equivalent to In matrix form, inequality (6) can be expressed as where ; , ; if , otherwise.
User-centric harvested energy-efficiency maximisation for secure SWIPT transmissions
Published in International Journal of Electronics, 2020
In addition, the user-centric issue needs to be analysed in multiple SWIPT transceiver pairs when each pair tries to keep its transmission most effective, instead of taking a system-centric view. Some authors studied user-centric energy efficiency for each user in wireless powered communications networks (Ding, Jiang, and He 2018; Wu, Chen, Ng, Chen, and Schober 2016) where, in the first phase, users receive energy, and use it to transmit data in the second phase. So far, user-centric harvested energy efficiency has not been investigated in the SWIPT interference channel system.