Joint power, rate, and channel allocation in multilink (cognitive) radio system
Joint power, rate, and channel allocation in multilink (cognitive) radio system
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DOI：
10.1109/milcom.2009.5379724
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发表时间：
2009-10
期刊：
影响因子：
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通讯作者：
P. Larsson;Jonas Kronander
中科院分区：
文献类型：
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作者：
P. Larsson;Jonas Kronander
我们考虑了多约束功率、速率和信道分配，这些都是为低功耗、延迟容忍流量和可能在认知无线电系统中使用的干扰链路条件下精心设计的。具体而言，提出了一种基于和功率约束和速率最大化的迭代分布式算法，该算法具有每个用户和信道功率和速率的上限（和下限）约束以及每个用户和功率和速率的上限约束。通过在蜂窝系统中的仿真验证了该算法的可行性和性能。仿真结果表明，在处理多个约束条件的同时，采用“等功率自适应速率”RRM方法改进了和速率与和功率的相对关系。
We consider multi-constrained power, rate and channel allocation crafted for low power consumption, delay tolerant traffic, and under interfering link conditions that may be used in a cognitive radio system. Specifically, an iterative distributed algorithm, based on a sum-power constrained sum-rate maximization with upper (and lower) per user and channel power and rate constraints, as well as upper per user sum-power and sum-rate constraints is developed. The feasibility and performance of the algorithm is demonstrated by simulation in a cellular system. Simulations show that the multiple constraints are handled while improving the sum-rate vs. sum-power relative an “equal power adaptive rate” RRM approach.