TY - JOUR
T1 - Downlink optimization and performance of relay-assisted cellular networks in multicell environments
AU - Sheen, Wern Ho
AU - Lin, Shiang Jiun
AU - Huang, Chia-Chi
PY - 2010/6/1
Y1 - 2010/6/1
N2 - Deploying fixed relay stations (RSs) in traditional mobile cellular networks is widely recognized as a promising technology to improve cell coverage, user throughput, and system capacity, to save the transmit power of a mobile station (MS) in the uplink, and to provide a low-cost deployment for coverage extension. One crucial step toward developing such a relay-assisted cellular network is to fully evaluate its performance from both theoretical and practical viewpoints. In the literature, however, the system has only been evaluated for very limited system configurations: with a fixed number of RSs and locations and/or a fixed frequency-reuse pattern. This paper aims to investigate the downlink performance limits of a general relay-assisted network with optimized system parameters in a multicell environment. A genetic algorithm (GA) is proposed for the joint optimization of system parameters, including the number of RSs and their locations, frequency-reuse pattern, path selection, and resource allocation to maximize the system spectral efficiency (SE). Two types of quality of end-user experience (QoE), i.e., 1) fixed-bandwidth allocation (FBA) and 2) fixed-throughput allocation (FTA), are investigated along with two path-selection methods, i.e., 1) SE based and 2) signal-to-interference-plus- noise ratio (SINR) based. Numerical results show that significant improvement on system performance can be achieved with the optimized system parameters.
AB - Deploying fixed relay stations (RSs) in traditional mobile cellular networks is widely recognized as a promising technology to improve cell coverage, user throughput, and system capacity, to save the transmit power of a mobile station (MS) in the uplink, and to provide a low-cost deployment for coverage extension. One crucial step toward developing such a relay-assisted cellular network is to fully evaluate its performance from both theoretical and practical viewpoints. In the literature, however, the system has only been evaluated for very limited system configurations: with a fixed number of RSs and locations and/or a fixed frequency-reuse pattern. This paper aims to investigate the downlink performance limits of a general relay-assisted network with optimized system parameters in a multicell environment. A genetic algorithm (GA) is proposed for the joint optimization of system parameters, including the number of RSs and their locations, frequency-reuse pattern, path selection, and resource allocation to maximize the system spectral efficiency (SE). Two types of quality of end-user experience (QoE), i.e., 1) fixed-bandwidth allocation (FBA) and 2) fixed-throughput allocation (FTA), are investigated along with two path-selection methods, i.e., 1) SE based and 2) signal-to-interference-plus- noise ratio (SINR) based. Numerical results show that significant improvement on system performance can be achieved with the optimized system parameters.
KW - Downlink performance
KW - genetic algorithm (GA)-based optimization
KW - Relay-assisted cellular system
UR - http://www.scopus.com/inward/record.url?scp=77953789684&partnerID=8YFLogxK
U2 - 10.1109/TVT.2010.2042739
DO - 10.1109/TVT.2010.2042739
M3 - Article
AN - SCOPUS:77953789684
VL - 59
SP - 2529
EP - 2542
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
SN - 0018-9545
IS - 5
M1 - 5484899
ER -