Achievable Rate of Spectrum Sharing Cognitive Radio Systems Over Fading Channels at Low-Power Regime

Sboui, Lokman; Rezki, Zouheir; Alouini, Mohamed‐Slim

doi:10.1109/twc.2014.2334660

Cited by 21 publications

(12 citation statements)

References 30 publications

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“…For effective implementation supporting continuous spectrum sensing is crucial and hence the time spent on sensing should be as low as possible. • Interference estimation -To keep the interference imposed on the PU receiver below the tolerable level is the most important task, especially when multiple SUs transmit [9], so that the underlay CR mechanisms can be used to protect the Quality of Service (QoS) for the PU. The SUs have to perform spectrum sensing to limit the interference.…”

Section: Impact Of Spectrum Sensingmentioning

confidence: 99%

How Many Cognitive Channels Should the Primary User Share?

Patel

Khan

Merchant

et al. 2018

IEEE Wireless Commun.

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Despite almost two decades of research, multiple challenges remain unresolved in Cognitive Radio (CR) scenarios, especially the fundamental problem of reliable spectrum sensing. Hence we propose a channel partitioning scheme (CPS) based CR relying on realistic imperfect spectrum sensing. The channels licensed to the primary user (PU) are partitioned into two sets. Channels in one of the sets are exclusively reserved for the PU, while those in the other can be accessed by both the PU and the secondary user (SU) after spectrum sensing. The PU prioritizes its transmissions over the two sets by first transmitting using the channels in the reserved set and then moves on to the unreserved set, if required. It is shown that this simple policy significantly improves the overall detection performance as well as the simultaneous achievable rates and reduces the overhead associated with sensing.

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Section: Impact Of Spectrum Sensingmentioning

confidence: 99%

How Many Cognitive Channels Should the Primary User Share?

Patel

Khan

Merchant

et al. 2018

IEEE Wireless Commun.

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“…The threshold τ can be optimized for in order to get the best performance [26]. This approach has been widely studied in the context of channel capacity at low power regime that is basically the dual of the problem we are dealing with in this paper.…”

Section: ) Application For Rayleigh Fading Channelsmentioning

confidence: 99%

“…then, the transmission rate constraint can be rewritten as E γs [R (γ s )] ≥ R min , which results in a single integration, over one fading channel, multiplied by the number of receivers. Making use of the solution given by (26) and (27) then, we have the following cases:…”

Section: Sum Of Average Transmission Rate Constraint (C4)mentioning

confidence: 99%

Power Minimization of a Wireless Sensor Node Under Different Rate Constraints

Solares

Sboui

Rezki

et al. 2016

IEEE Trans. Signal Process.

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“…Also, note that the low-SNR regime is of interest in many communication scenarios such as wideband systems, sensor networks, cognitive radio, deepspace communications via satellites and communication at the edge of the cellular networks, e.g., [31], [32], where the available power per degree of freedom can be vanishingly small.…”

Section: Performance Analysismentioning

confidence: 99%

On Feedback Resource Allocation in Multiple-Input-Single-Output Systems Using Partial CSI Feedback

Makki

Svensson

Eriksson

et al. 2015

IEEE Trans. Commun.

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Abstract-This paper studies the problem of feedback resource allocation in multiple-input-single-output (MISO) channels utilizing partial channel state information (CSI) feedback. Considering low/moderate signal-to-noise ratios (SNRs), the optimal quantizers and the feedback bit allocation maximizing the throughput are obtained in the asymptotic case where the number of feedback bits increases. Moreover, the results are utilized to derive the optimal retransmission rates in the automatic repeat request (ARQ) protocols and joint CSI-ARQ schemes are proposed for the MISO setups. We show that uniform channel amplitude quantization is asymptotically optimal in terms of throughput. Also, the optimal retransmission rates of the incremental redundancy (INR) ARQ protocols follow an arithmetic progression in the exponential domain. Under certain conditions, a MISO system using quantized CSI can be mapped to a MISO or a SISO (S: single) setup using ARQ or joint CSI-ARQ feedback in the sense that they lead to the same throughput. Finally, to maximize the throughput, the optimal number of channel direction quantization bits should be (M − 1) times the number of amplitude quantization bits, where M is the number of transmit antennas.Index Terms-CSI quantization, HARQ feedback, MIMO transmission, throughput, joint phase-amplitude information feedback, incremental redundancy (INR) ARQ.

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Achievable Rate of Spectrum Sharing Cognitive Radio Systems Over Fading Channels at Low-Power Regime

Cited by 21 publications

References 30 publications

How Many Cognitive Channels Should the Primary User Share?

How Many Cognitive Channels Should the Primary User Share?

Power Minimization of a Wireless Sensor Node Under Different Rate Constraints

On Feedback Resource Allocation in Multiple-Input-Single-Output Systems Using Partial CSI Feedback

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