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Exploiting Multi-Antennas for Opportunistic Spectrum Sharing in Cognitive Radio Networks

Exploiting Multi-Antennas for Opportunistic Spectrum Sharing in Cognitive Radio Networks,10.1109/JSTSP.2007.914894,IEEE Journal of Selected Topics in

Exploiting Multi-Antennas for Opportunistic Spectrum Sharing in Cognitive Radio Networks   (Citations: 155)
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In cognitive radio (CR) networks, there are scenarios where the secondary (lower priority) users intend to communicate with each other by opportunistically utilizing the transmit spectrum originally allocated to the existing primary (higher priority) users. For such a scenario, a secondary user usually has to tradeoff between two conflicting goals at the same time: one is to maximize its own transmit throughput; and the other is to minimize the amount of interference it produces at each primary receiver. In this paper, we study this fundamental tradeoff from an information-theoretic perspective by characterizing the secondary user's channel capacity under both its own transmit-power constraint as well as a set of interference-power constraints each imposed at one of the primary receivers. In particular, this paper exploits multi-antennas at the secondary transmitter to effectively balance between spatial multiplexing for the secondary transmission and interference avoidance at the primary receivers. Convex optimization techniques are used to design algorithms for the optimal secondary transmit spatial spectrum that achieves the capacity of the secondary transmission. Suboptimal solutions for ease of implementation are also presented and their performances are compared with the optimal solution. Furthermore, algorithms developed for the single-channel transmission are also extended to the case of multichannel transmission whereby the secondary user is able to achieve opportunistic spectrum sharing via transmit adaptations not only in space, but in time and frequency domains as well. Simulation results show that even under stringent interference-power constraints, substantial capacity gains are achievable for the secondary transmission by employing multi-antennas at the secondary transmitter. This is true even when the number of primary receivers exceeds that of secondary transmit antennas in a CR network, where an interesting "interference diversity" effect can be e- xploited.
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    • ...This is done by following a similar approach to the proof of Lemma 1 in [21], the difference in our setup being that: 1) we are dealing with multiple PSD matrices to optimize oversimultaneously; and2) our problem includes per-BS power constraints...

    Randa Zakhouret al. Optimized data sharing in multicell MIMO with finite backhaul capacity

    • ...Assuming perfect CSI of the SU-to-PU channels, the optimal CB design is proposed in [2] for maximizing the SU throughput subject to a given set of interference power constraints at the PU receivers...
    • ...To solve the above problem, we write where with identical to that in (11) and . An optimization problem having the same form as (22) is solved in [2]...
    • ...Using [2, Theorem 2] and , we obtain the following lemma...

    Kaibin Huanget al. Cooperative Feedback for Multiantenna Cognitive Radio Networks

    • ...In [6], Zhang and Liang studied capacity-achieving transmit spatial spectrum for a single SU, assuming that the SU has full CSI and there is no interference from PUs to the SU. Insightful solution methods are proposed to provide better intuition that may not be obtainable from a numerical optimization per-...

    Ying Jun Angela Zhanget al. Optimal Spectrum Sharing in MIMO Cognitive Radio Networks via Semidefi...

    • ...Within this context, alternative approaches have been considered in the literature to allow concurrent communications in either single-input single-output (SISO) channels [5] or multiple-input multipleoutput (MIMO) channels [6] (see also [4] for a recent tutorial on the topic)...
    • ...Fig. 2. Iteration of the projection subgradient method in the dual-primal decomposition to find the robust power allocation for a single SU in SISO frequency-selective channels; , 10 dB, , 3d B, . (see, e.g., [6] for a similar approach)...

    Jiaheng Wanget al. Robust MIMO Cognitive Radio Via Game Theory

    • ...Transmit optimizations for CRs operating under the IT constraint have also been studied in, e.g., [9] for multi-antenna based CRs and [10], [11] for multiuser CR channels...

    Xin Kanget al. Optimal Power Allocation Strategies for Fading Cognitive Radio Channel...

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