Name
Abstract | ||
|---|---|---|
In this paper, we propose a joint subchannel and power allocation algorithm for the downlink of an orthogonal frequency-division multiple access (OFDMA) mixed femtocell/macrocell network deployment. Specifically, the total throughput of all femtocell user equipments (FUEs) is maximized while the network capacity of an existing macrocell is always protected. Towards this end, we employ an iterative approach in which OFDM subchannels and transmit powers of base stations (BS) are alternatively assigned and optimized at every step. For a fixed power allocation, we prove that the optimal policy in each cell is to give each subchannel to the user with the highest signal-to-interference-plus-noise ratio (SINR) on that subchannel. For a given subchannel assignment, we adopt the successive convex approximation (SCA) approach and transform the highly nonconvex power allocation problem into a sequence of convex subproblems. In the arithmetic-geometric mean (AGM) approximation, we apply geometric programming to find optimal solutions after condensing a posynomial into a monomial. On the other hand, logarithmic and underline{d}ifference-of-two-underline{c}oncave-functions (D.C.) approximations lead us to solving a series of convex relaxation programs. With the three proposed SCA-based power optimization solutions, we show that the overall joint subchannel and power allocation algorithm converges to some local maximum of the original design problem. While a central processing unit is required to implement the AGM approximation-based solution, each BS locally computes the optimal subchannel and power allocation for its own servicing cell in the logarithmic and D.C. approximation-based solutions. Numerical examples confirm the merits of the proposed algorithm. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TWC.2013.111313.130645 | IEEE Transactions on Wireless Communications |
Keywords | Field | DocType |
network capacity,fue,dc approximation-based solutions,iterative approach,geometric programming,ofdma femtocell networks,femtocell,approximation theory,sinr,heterogeneous networks,subchannel assignment,ofdm modulation,nonconvex power allocation problem,macrocell qos protection,convex programming,sca-based power optimization solutions,arithmetic-geometric mean approximation based solution,ofdm subchannels,signal-to-interference-plus-noise ratio,iterative algorithm,femtocell user equipments,power allocation,base stations,agm approximation-based solution,orthogonal frequency-division multiple access mixed femtocell-macrocell network deployment,convex optimization,joint subchannel and power allocation algorithm,convex relaxation programs,femtocellular radio,successive convex approximation approach,successive convex approximation,ofdm,resource management,signal to noise ratio,signal to interference plus noise ratio,interference | Femtocell,Mathematical optimization,Power optimization,Signal-to-interference-plus-noise ratio,Frequency-division multiple access,Geometric programming,Convex optimization,Channel allocation schemes,Mathematics,Macrocell | Journal |
Volume | Issue | ISSN |
13 | 1 | 1536-1276 |
Citations | PageRank | References |
93 | 2.16 | 22 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| D. T. Ngo | 1 | 523 | 37.44 |
| Suman Khakurel | 2 | 109 | 5.30 |
| Tho Le-Ngoc | 3 | 2210 | 237.14 |