TY - GEN

T1 - Resource allocation based on channel distribution information for elastic and streaming traffic in OFDMA networks

T2 - 70th IEEE Vehicular Technology Conference

AU - Mokari, Nader

AU - Javan, Mohammed R.

AU - Navaie, Keivan

PY - 2009

Y1 - 2009

N2 - In this paper, we propose a low complexity heuristic algorithm for radio resource allocation in Orthogonal Frequency Division Multiple Access (OFDMA) systems based on subcarrier channel distribution information (CDI). We consider practical rate adaptation in which rate is adapted using a predefined set of modulation levels, which is in contrast to previous works that consider continuous rate. We formulate the problem of resource allocation in an OFDMA system with streaming traffic which requires a minimum guaranteed average rate, and elastic traffic with flexible rate requirements. The main objective is to maximize the total transmission rate of the elastic users, while average rate guarantees for streaming traffic as well as maximum transmission power constraints are satisfied. To reduce the computational complexity, we decouple the resource allocation problem into two sub-problems corresponding to two traffic types. For streaming traffic, we optimally allocate subcarrier and power and then the remaining radio resources including the unassigned subcarriers and unallocated transmission power of the base station are optimally allocated to the elastic traffic. We then develop a heuristic algorithm based on Lagrangian method to obtain an approximation of the optimal solution. Using simulations, we study the impact of number of fading regions. Simulations also provides insight on the trade-off between the number of streaming and elastic users.

AB - In this paper, we propose a low complexity heuristic algorithm for radio resource allocation in Orthogonal Frequency Division Multiple Access (OFDMA) systems based on subcarrier channel distribution information (CDI). We consider practical rate adaptation in which rate is adapted using a predefined set of modulation levels, which is in contrast to previous works that consider continuous rate. We formulate the problem of resource allocation in an OFDMA system with streaming traffic which requires a minimum guaranteed average rate, and elastic traffic with flexible rate requirements. The main objective is to maximize the total transmission rate of the elastic users, while average rate guarantees for streaming traffic as well as maximum transmission power constraints are satisfied. To reduce the computational complexity, we decouple the resource allocation problem into two sub-problems corresponding to two traffic types. For streaming traffic, we optimally allocate subcarrier and power and then the remaining radio resources including the unassigned subcarriers and unallocated transmission power of the base station are optimally allocated to the elastic traffic. We then develop a heuristic algorithm based on Lagrangian method to obtain an approximation of the optimal solution. Using simulations, we study the impact of number of fading regions. Simulations also provides insight on the trade-off between the number of streaming and elastic users.

KW - CROSS-LAYER OPTIMIZATION

KW - WIRELESS NETWORKS

KW - FADING CHANNELS

KW - MULTIUSER OFDM

KW - SYSTEMS

U2 - 10.1109/VETECF.2009.5378936

DO - 10.1109/VETECF.2009.5378936

M3 - Conference contribution/Paper

SN - 9781424425143

T3 - IEEE VTS Vehicular Technology Conference Proceedings

SP - 813

EP - 817

BT - Vehicular Technology Conference Fall (VTC 2009-Fall), 2009 IEEE 70th

PB - IEEE

CY - New York

Y2 - 20 September 2009 through 23 September 2009

ER -