Power Allocation in Nonselfish Symbiotic Cognitive Relaying with Partial Channel State Information
We first address the problem of power allocation at cognitive users (CUs) to maximize the throughput of a nonselfish symbiotic cognitive radio scheme, in which the CUs may assist the data transmission of primary users (PUs) via nonorthogonal amplify-and-forward (AF) cognitive relaying and obtain an...
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Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1155/2014/525062 |
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doaj-0b589025964a4ef49955a86a38a8c3e82020-11-25T03:09:34ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772014-01-011010.1155/2014/525062525062Power Allocation in Nonselfish Symbiotic Cognitive Relaying with Partial Channel State InformationPeng Gong0Kai Ren1Duk Kyung Kim2 Department of Information and Communication Engineering, Inha University, Incheon 402-751, Republic of Korea National Key Laboratory of Mechatronic Engineering and Control, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China Department of Information and Communication Engineering, Inha University, Incheon 402-751, Republic of KoreaWe first address the problem of power allocation at cognitive users (CUs) to maximize the throughput of a nonselfish symbiotic cognitive radio scheme, in which the CUs may assist the data transmission of primary users (PUs) via nonorthogonal amplify-and-forward (AF) cognitive relaying and obtain an incentive time for their own data transmission in a nonselfish manner. Then, an optimal power allocation algorithm is proposed based on the full channel state information (CSI) among PUs, CUs, and base station (BS). In order to reduce the feedback overhead, another power allocation algorithm is devised based only on the partial CSI, that is, the CSI of BS-PU and the CSI of BS-CUs. Simulation results demonstrate that, compared with the optimal power allocation algorithm, the power allocation algorithm with only the partial CSI can achieve a similar performance with a smaller channel feedback overhead.https://doi.org/10.1155/2014/525062 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Peng Gong Kai Ren Duk Kyung Kim |
spellingShingle |
Peng Gong Kai Ren Duk Kyung Kim Power Allocation in Nonselfish Symbiotic Cognitive Relaying with Partial Channel State Information International Journal of Distributed Sensor Networks |
author_facet |
Peng Gong Kai Ren Duk Kyung Kim |
author_sort |
Peng Gong |
title |
Power Allocation in Nonselfish Symbiotic Cognitive Relaying with Partial Channel State Information |
title_short |
Power Allocation in Nonselfish Symbiotic Cognitive Relaying with Partial Channel State Information |
title_full |
Power Allocation in Nonselfish Symbiotic Cognitive Relaying with Partial Channel State Information |
title_fullStr |
Power Allocation in Nonselfish Symbiotic Cognitive Relaying with Partial Channel State Information |
title_full_unstemmed |
Power Allocation in Nonselfish Symbiotic Cognitive Relaying with Partial Channel State Information |
title_sort |
power allocation in nonselfish symbiotic cognitive relaying with partial channel state information |
publisher |
SAGE Publishing |
series |
International Journal of Distributed Sensor Networks |
issn |
1550-1477 |
publishDate |
2014-01-01 |
description |
We first address the problem of power allocation at cognitive users (CUs) to maximize the throughput of a nonselfish symbiotic cognitive radio scheme, in which the CUs may assist the data transmission of primary users (PUs) via nonorthogonal amplify-and-forward (AF) cognitive relaying and obtain an incentive time for their own data transmission in a nonselfish manner. Then, an optimal power allocation algorithm is proposed based on the full channel state information (CSI) among PUs, CUs, and base station (BS). In order to reduce the feedback overhead, another power allocation algorithm is devised based only on the partial CSI, that is, the CSI of BS-PU and the CSI of BS-CUs. Simulation results demonstrate that, compared with the optimal power allocation algorithm, the power allocation algorithm with only the partial CSI can achieve a similar performance with a smaller channel feedback overhead. |
url |
https://doi.org/10.1155/2014/525062 |
work_keys_str_mv |
AT penggong powerallocationinnonselfishsymbioticcognitiverelayingwithpartialchannelstateinformation AT kairen powerallocationinnonselfishsymbioticcognitiverelayingwithpartialchannelstateinformation AT dukkyungkim powerallocationinnonselfishsymbioticcognitiverelayingwithpartialchannelstateinformation |
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