Joint power and bandwidth allocation in IEEE802.22 based cognitive LTE network

We investigate the problem of energy-efficient dynamic spectrum access (DSA) in a cognitive Third Generation Partnership Project (3GPP) long-term evolution (LTE) network based on IEEE802.22 architecture. In this architecture, the network resources are allocated to the end-users and the evolved NodeB...

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Vydáno v:Computer networks (Amsterdam, Netherlands : 1999) Ročník 71; s. 117 - 129
Hlavní autoři: Asheralieva, Alia, Mahata, Kaushik
Médium: Journal Article
Jazyk:angličtina
Vydáno: Kidlington Elsevier B.V 04.10.2014
Elsevier
Elsevier Sequoia S.A
Témata:
3GPP LTE
Algorithms
Applied sciences
Assignment problem
Bandwidth
Bandwidths
Channels
Cognition
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Constraints
CRN
Energy efficiency
Equipments and installations
Exact sciences and technology
IEEE standards
IEEE802.22
Mobile communication systems
Mobile radiocommunication systems
Networks
Occupancy
Partnerships
Power
Radiocommunications
Resource allocation
Signal to noise ratio
Software
Spectrum allocation
Studies
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Teletraffic
Third generation
Wireless communication
Wireless networks
3GPP LTE
IEEE802.22
CRN
Resource allocation
Network architecture
Downlink
Power allocation
Optimal strategy
Optimal allocation
Coding
Bandwidth
Queue
Energy spectrum
Stability
Cellular radio
Frequency allocation
Buffer system
Bandwidth allocation
Energy savings
Cognitive theory
Wireless network
Capacity constraint
Transmission rate
Mobile computing
Signal to noise ratio
ISSN:1389-1286, 1872-7069
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Popis
Shrnutí:We investigate the problem of energy-efficient dynamic spectrum access (DSA) in a cognitive Third Generation Partnership Project (3GPP) long-term evolution (LTE) network based on IEEE802.22 architecture. In this architecture, the network resources are allocated to the end-users and the evolved NodeBs (eNBs) by the spectrum manager (SM) using some optimal resource allocation strategy. In particular, we propose to assign the bandwidth and transmission power to the uplink and downlink of LTE system so that the total transmission power is minimized subject to capacity constraints, queue stability constraints, and some integer restrictions on the bandwidth. To find the buffer occupancy in the system, we use modified Shannon expression which depends on signal-to-noise ratio (SNR) and modulation and coding scheme (MCS). Unlike previous works, the proposed resource allocation algorithm is derived based on realistic assumptions, such as discrete spectrum resources, relation between transmission rate, MCS and the channel quality. Performance of the algorithm is evaluated using simulations in OPNET environment. The algorithm shows consistent performance improvement when compared with other relevant resource allocation techniques.
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ISSN:1389-1286
1872-7069
DOI:10.1016/j.comnet.2014.06.014