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作者机构:Aristotle Univ Thessaloniki Dept Elect & Comp Engn Thessaloniki 54124 Greece
出 版 物:《IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS》 (IEEE 无线通信汇刊)
年 卷 期:2020年第19卷第6期
页 面:4195-4208页
核心收录:
学科分类:0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学]
基 金:Hellenic Foundation for Research and Innovation (H.F.R.I.) Onassis Foundation
主 题:Network coding Throughput Radio transmitters Receivers Cognitive radio Relays Cognitive radio network coding cooperative cognitive networks primary user secondary user throughput region
摘 要:In this paper, we investigate transmission techniques for a fundamental cooperative cognitive radio network, i.e., a cognitive radio system where a Secondary user may act as relay for messages sent by the Primary user, hence offering performance improvement of Primary user transmissions, while at the same time obtaining more transmission opportunities for its own transmissions. Specifically, we examine the possibility of improving the overall system performance by employing network coding techniques. The objective is to achieve this while affecting Primary user transmissions only positively, namely: 1) avoid network coding operations at the Primary transmitter, hence avoiding increase of its storage requirements and keeping its complexity low, 2) keep the order of packets received by the Primary receiver the same as in the non cooperative case and 3) induce packet service times that are stochastically smaller than the packet service times induced in the non-cooperative case. A network coding algorithm is investigated in terms of achieved throughput region and it is shown to enlarge Secondary user throughput as compared to the case where the Secondary transmitter acts as a simple relay, while leaving the Primary user stability region unaffected. A notable feature of this algorithm is that it operates without knowledge of channel and packet arrival rate statistics. We further present a second network coding algorithm which increases the throughput region of the system under certain conditions on system parameters;however, the latter algorithm requires knowledge of channel and packet arrival rate statistics.