认知无线电网络中共生中继的跨层框架

Taskeen Nadkar, V. Thumar, Gautam Shenoy, Amit Mehta, U. Desai, S. Merchant
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引用次数: 28

摘要

这项工作的主要重点是为动态频谱接入的共享模型开发一种共生合作中继(SCR)体系结构。频谱的主用户(PU)在传输链路较弱的情况下,向其附近认知能力较强的次用户(SU)节点寻求合作,并给予适当的激励作为回报。激励可以是时间(有时间激励的认知中继),频带(有频率激励的认知中继),或者两者都有(有时间和频率激励的认知中继)。提出了跨层优化问题,使单节点在多跳多通道中继网络中的传输机会最大化,同时保证单节点的吞吐量。为了使SCR方案切实可行,提出了一种统一框架下的面向PU和su的MAC调度协议。此外,还提出了跨层公式,使多个单元能够有效地访问各自通信的时间或频率激励。给出了每种方案的仿真结果,从PU和su的角度证明了它们的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A cross-layer framework for symbiotic relaying in cognitive radio networks
The prime focus of this work is in developing a Symbiotic Cooperative Relaying (SCR) architecture for the Commons model of Dynamic Spectrum Access. The incumbent Primary User (PU) of the spectrum, with a weak transmission link, seeks cooperation from the cognitive Secondary User (SU) nodes in its vicinity, and in return rewards them with a suitable incentive. The incentive may be offered in terms of time (Cognitive Relaying with Time Incentive), frequency bands (Cognitive Relaying with Frequency Incentive), or both (Cognitive Relaying with Time and Frequency Incentive). Cross-layer optimization problems are formulated, which maximize the transmission opportunities for the SUs in the multi-hop multichannel relay network, and offer a guaranteed throughput to the PU. To make the SCR scheme practically realizable, a MAC scheduling protocol is proposed within a unified framework for both the PU and SUs. Furthermore, cross-layer formulations are also proposed for multiple SUs to efficiently access the Time or Frequency Incentive for their own communication. Simulation results are furnished for each of the proposed SCR schemes to demonstrate their effectiveness from the perspective of both the PU and SUs.
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